Resource Center
Statistics, Predictive Modeling and Data Mining
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Make better data based decisions with Statistical Modelling TechniquesThis three-part workshop on statistical modelling techniques is geared towards scientists and engineers who are looking to make the most of their data and gain valuable insights as quickly as possible.
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Coral Reef DiagnosticsPredictive modeling in the race to preserve coral reefs.
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Universidade de Trás-os-Montes e Alto DouroA forest scientist discusses silvicultural simulations and the joy of modeling.
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The Rise of Epidemic Forecasting & Multi-View AnalysisFather-son duo Dr. Robert Tibshirani and Dr. Ryan Tibshirani discuss why epidemic forecasting and multi-view analysis matters.
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How to ensure your investment in Machine Learning yields beneficial outcomesIn this talk, Jonathan Williams, PhD, Data Analysis Manager at IQE, shares guidance and stories about how to get started with machine learning techniques or effectively integrate them within existing programs.
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Unit TestsOver the past 20 years, software developers have become increasingly interested in automated unit testing and the phrase unit testing framework has come to refer to the mechanism used to facilitate automated unit testing. Learn how JMP uses unit testing in its software development.
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The Art of Effective Statistical CollaborationDr. Julia Sharp and Dr. Emily Griffith discuss the art of effective statistical collaboration.
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Session 4: Basic Analysis and ModelingDuring this session, Jordan Hiller demonstrates simple techniques for building models and the enriching insight gained from those models.
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Revolutionizing Sustainability Through Green ChemistryJoin us for a virtual discussion with Grace Lasker and Rick Morgan on sustainability through green chemistry.
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Glean and Visualize Deeper Insight from Your DataHear best practices from Procter & Gamble and Michelin! Gaining skills around a multistage process of turning data into useful insights is key. You will see how interactive, no-code analytics enable any scientist or engineer to turn data into actionable insights with a combination of data preparation.
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How to Model Complex, High-Dimensional Chemical SpectraJoin us as JMP Senior Global Enablement Engineer Bill Worley shows us a visual approach to chemometrics.
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Machine learning applications for chemical and process industriesIn this article, we explain industrial data science fundamentals and link them with commonly-known examples in process engineering. Then, we review industrial applications using state-of-art machine learning techniques.
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Target MalariaCapacity-building efforts accelerate research outputs in novel vector control approaches towards disease transmission.
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The Significance of Data Science EthicsHear from top researchers in the world of Astrophysics.
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Six Footprints for Leading Analytical ChangeIn this white paper, Tom Lange, retired Director of R&D at Procter & Gamble, passes on ideas, trends and best practices he's learned during a 40-plus year career building and leading analytical teams.
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Exploring the Cosmos Near and FarHear from top researchers in the world of Astrophysics.
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JMP and Analytics in BaseballIn this white paper, Sig Mejdal, Assistant GM of the Baltimore Orioles, discusses the proliferation of quants in the sport and explores how JMP has helped bring analytics to baseball.
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How to Model Complex, High-Dimensional Chemical SpectraBill Worley and Jeremy Ash demonstrate spectral analysis in JMP. Understanding and acting on factors influencing quality can result in reduced cost, faster time to market, better quality, and other benefits to your organization.
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How to Get the Most Out of Machine LearningHear from leaders in the machine learning realm from Brewer Science, Abt Associates and SAS
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Experiment Even More Efficiently Using JMP Definitive Screening DesignsJeff Upton discusses how to experiment even more efficiently using JMP Definitive Screening Designs
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Karlsruhe Institute of TechnologyConservation biologists look to sophisticated statistical approaches like machine learning to improve species survival.
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Studying intangiblesJMP Sr Research Statistician Developer Laura Castro-Schilo explains why structural equations models (SEM) is a powerful statistical technique every analyst should have in their toolbox.
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Thanks for the MemorySAS co-founder John Sall discusses how JMP 16 eases your burdens by remembering things for you.
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Sentiment Analysis: What Are People Feeling?Mike Anderson discusses how sentiment analysis and term selection in JMP can help you gain insights from your survey text, social media and other forms of text data.
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What scientists and engineers can (and should) do with text dataText analytics advice from experts at the FDA, P&G and 1440 Consulting
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Data Science is a Team SportProfessor Alyson Wilson discusses how, as data grows in volume, velocity, variety and veracity, solving complex problems can no longer be done in a silo.
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Forecasting in the IoT eraProfessor, researcher and author Galit Shmueli discusses how large collections of time series can lead to extremely useful forecasting in the Internet of Things Era.
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Moving from Minitab to JMP: A Transition Guide, Version 2This guide explains how Minitab and JMP differ in the handling of descriptive statistics and visualizations. It is meant to ease the user’s transition from Minitab v19 to JMP 16 and JMP Pro 16. Focus is on the user interface, how tools are accessed, how analyses are performed, and the general workflow of the packages.
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University of ArizonaStatistical models challenge conventional wisdom about prairie dog behavior, opening the door for new conservation strategies.
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The essentials of machine learning and artificial intelligenceCorning, Solvay and Novozymes experts make the most of advanced analytics
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North Dakota State UniversityBreeding pipeline database managers use a custom dashboard in JMP to accelerate query and analysis.
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The Profiler at 30Brad Jones, the inventor of JMP's Custom Designer and Prediction Profiler , introduces one of his favorite new features in JMP 16: Extrapolation Control .
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Build - and Choose - Better Models Faster: Data Scientists in a BoxKemal Oflus demonstrates how to utilize machine learning methods without having to write and tune algorithms by leveraging your subject matter expertise.
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Building analytics communities across the enterpriseAlex Pamatat explains how NXP Semiconductors empowers its people to use analytics throughout their organization.
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Moving from SPSS to JMP: A Transition GuideThis guide explains how SPSS and JMP differ in the handling of descriptive statistics and visualizations. It is meant to ease the user’s transition from SPSS Version 27 to JMP 16 and JMP Pro 16.
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Find meaning with purpose-driven analyticsChange agents from many fields use statistics to solve pressing world issues
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Faster Insights Through Automated Clustering and Visualization: A Case Study Using MLB DataIn this 30-minute webinar, Sig Mejdal, VP and Assistant General Manager for the Baltimore Orioles, demonstrates how clustering and data visualization techniques can be used to automatically detect hidden patterns in data.
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Applying machine learning to the right problems Speakers from Procter & Gamble and TEL Singapore on machine learning and automation
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Are big data and machine learning methods enough?Hear real-world examples about machine learning and AI from W.L. Gore, SAS and the author of Dark Data
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Mission-critical advanced statistics for the defense communityLearn about machine learning and artificial intelligence, and their synergies with structured experimentation
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PhyzzA combination of sensory analysis and design of experiments helps optimize taste, shelf life and nutritional value.
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Predicting Product Reliability: A Case StudyExplore core reliability analysis techniques and best practices by walking through a case study based on hard drive reliability.
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The CatalystIn Catalyst, Wharton Professor and author Jonah Berger explores change and its impact on human behavior. Taken from the introduction, this excerpt discusses how we can discover the hidden barriers preventing change and learn how to mitigate them.
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Leveraging Free Text Data to Build Better ModelsLearn how text data can be combined with non-text data to build better models and make better decisions.
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Dark DataIn Dark Data, Dr. Hand explores the many ways we can be blind to missing or unseen data and how, in our rush to be a data-driven society, we might be missing things that matter, leading to dangerous decisions that can sometimes have disastrous consequences.
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Expert guidance on making the most of machine learning Demystify the buzzwords and expand your toolkit
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Predictive Modeling for Risk of DiseaseWalk through an example based on building predictive models for peripheral arterial disease risk using data from the National Health and Nutrition Examination Surveys.
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JMP takes the struggle out of data wranglingThis paper provides an introduction to the unglamorous, time-consuming, laborious, and sometimes dreaded “dirty work” of statistical investigations – data preparation. The good news: JMP can perform these operations with ease.
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Art of StatisticsIn this introduction from his book, Art of Statistics, Sir David Spiegelhalter outlines why it's critically important to use statistical science to answer the kind of questions that arise when we want to better understand the world.
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Never Stop LearningIn this chapter from Bradley Staats book, Never Stop Learning, you'll learn strategies for overcoming an inward focus, building relationships, and how best to learn from, and teach, others.
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JMP Synergies: Using JMP and JMP Pro With Python and R There may be occasions where you'll want (or need) to use JMP in conjunction with open source tools. This paper will help you to get started using the Python and R connections in JMP.
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Accessible, Intuitive Statistics for Scientists and EngineersSAS co-founder John Sall invented JMP with the goal of making statistics friendly and informative. Here's how and why he did it.
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Questioning the Numbers of Everyday LifeSir David Spiegelhalter on improving the public understanding of risk and uncertainty.
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Mission-Oriented Analytics: New Methods for the Intelligence CommunityAlyson Wilson explains her work developing new analytic technologies for the intelligence community.
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The Integration of Big Data Analytics into a More Holistic ApproachThis paper explores the fundamentals of big data analysis, showing how big data applications can be better integrated to achieve a more streamlined, holistic outcome.
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Improving Processes with Statistical ModelsHow, when and where do I apply statistical modeling to a problem? Find out in these two real-world case studies.
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Predictive Analytics Via Text MiningDownload a complimentary chapter about text mining for predictive analytics.
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Tap Into Unstructured DataThis white paper discusses ways to explore, analyze and use insights from unstructured text data.
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Statistics with JMP: Hypothesis Tests, ANOVA and RegressionAnother great instruction guide by Professors Peter Goos and David Meintrup! This chapter specifically covers discrete and continuous random variables, with a focus on bivariate probability distributions and densities.
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Moving From Minitab to JMP: A Transition GuideA practitioner's review of JMP vs. Minitab: unearth two different approaches to common statistical techniques and principles.
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Why We All Need Data Science SkillsTechnology engineer David Kriesel says every team needs a few people who have a clue about data science.
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W.L. Gore: Using Statistics as a Competitive AdvantageGlobal Head of Statistics Maria Lanzerath works with scientists and engineers to ensure that statistics is embedded throughout the manufacturing process.
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Smart Machine Learning for ManufacturersThis paper introduces the 'smart machine learning' framework which unites the need to understand both the unique aspects of the data that is collected and the perspective of the data scientists who oversee its collection.
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Producing and Interpreting Basic Statistics Using JMP® JMP lets you interactively produce analyses, graphs and associated statistics at the same time. See how to generate and interpret basic summary statistics, fit distributions and perform hypothesis testing on the mean and on the standard deviation.
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Bridging Statistics and Chemical Engineering for Biotech and PharmaJulia O'Neill on accelerating the availability of critical new medicines and modernizing drug manufacturing.
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Combinatorial Testing: An Approach to Systems and Software Testing Based on Covering ArraysThis chapter explores the testing approach known as combinatorial testing, using examples derived from real software systems.
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Mixed Models: The Flexible Solution For Correlated DataWhy are mixed models at the center of so many analyses? Russ Wolfinger explains in these seven diverse case studies.
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Using Bayesian Methods in Business and MarketingTechnology, operations and marketing professor on improving marketing models and analyzing customer data.
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Discovering and Predicting Patterns Using Neural Network ModelsSee how to build neural networks, starting with a simple one-layer network, and how to use JMP Pro to build more complicated self-learning and boosted models.
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Predictive Analytics For Smarter Business Decision MakingJoin Dick De Veaux for a seminar where he will show you how to use interactive and visual data mining techniques using JMP and JMP Pro.
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David Meintrup, Peter Goos and Volker Kraft: Fostering Innovation by Spreading Analytical Capability Learn how interactive data visualization supports the process of training, teaching and learning statistics in the workplace and classroom.
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WildTrackConservationists monitor wildlife by tracking footprints.
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Digital Transformation StrategyCompanies are making big investments in data and analytics, generating increased demand for skilled analytical talent and many other business challenges. In this article, Stan Maklan proposes a framework for addressing some of these obstacles.
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Variable selection: the most important problem in statistics?Renowned statistician Brad Efron name variable selection as the most important problem in the field, but why? This article will answer while outlining the key objectives behind variable selection, main methods and tips for selection.
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Analytical Thinking and Problem Solving: The Mindset for SuccessGreg Nelson, CEO of ThotWave, describes the practical considerations and real-world competencies your organization needs to do analytics well.
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The Analytics Lifecycle ToolkitDownload a complimentary chapter from The Analytics Lifecycle Toolkit, which provides a framework for the effective use of analytics at your organization.
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How P&G Saved Millions and Improved Quality With AnalyticsFormer P&G engineer talks about using technical expertise and analytics to save hundreds of millions of dollars.
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Unlocking the Value of Text AnalyticsLeading industry analyst talks about the business applications and benefits of text analytics.
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Using Data to Align With Your Life PurposeVictor Strecher, author of Life on Purpose, gives scientific reasons for living a big life.
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Applied Statistics From the Classroom to the BoardroomProfessor emeritus from the University of Alabama discusses his career teaching and applying statistics.
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Data Access and the Future of StatisticsUlrich Rendtel of Freie Universität Berlin discusses his experiences with the census and academia.
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To Explain or Predict? That Is the QuestionGalit Shmueli discusses the tensions between explaining and predicting.
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Information Quality: The Potential of Data and Analytics to Generate KnowledgeNew case studies: find out how Information Quality was used as a guide to predict water quality and control a film deposition process.
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Tackling Unstructured Data With Text ExplorationBecome a more efficient data wrangler! See how one consultant organizes his unstructured data to see linkages between word usage and document of origin.
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How to Gain Insights With Text ExplorationHeath Rushing explains text exploration and why you should be doing it.
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What Does It Take to Be a Successful Statistician?Experienced statistical consultant shares career experiences and ideas for expanding your statistical repertoire.
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The Power of Crowdsourcing Data Science IdeasRuss Wolfinger on the complex problems analysts are solving through data science competitions.
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Helping Domain Experts Understand Their DataAdvice from statistician Jason Brinkley on working across disciplines.
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Become an Analytics Advocate at Your OrganizationFounder of P&G’s modeling and simulation group discusses the value of prediction and the rocket science of everyday products.
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Building Better Models with JMP ProDiscover the “what, why and how” of neural networks through case studies, figures and exercises. Examples demonstrate how models are used for both classification and prediction across an array of applications.
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Improving Your Process With Statistical ModelsA pharmaceutical manufacturer seeks process improvement in the midst of an alarming number of batch failures and a high degree of variability in the natural materials used in the manufacturing process. How do they find the answers?
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Analytics Lessons From BaseballHouston Astros Director of Decision Sciences shares lessons on data exploration and analytics from the world of baseball.
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Basic Analysis and PlottingSee, in this case study about housing prices in three cities, how to visualize data to make analyses accessible to statisticians and non-statisticians.
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Statistics with JMP: Graphs, Descriptive Statistics and ProbabilityNeed a better understanding of basic statistical theory and its applications? Let Professors Peter Goos and David Meintrup be your guide! An overview of descriptive statistics for nominal, ordinal and quantitative data, with particular attention to graphical representations is provided.
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Solutions to Data Preparation ChallengesSAS co-founder John Sall talks about ways to make data prep and analysis easier.
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Don’t Waste Good Analysis on the Wrong ProblemAuthors of Data Mining Techniques discuss the changing world of data analysis.
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Advantages of Bootstrap Forest for Yield Analysis: A Semiconductor Case StudyLearn how semiconductor manufacturers are reducing time to market while keeping quality high.
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Why Rare Events Happen Every DayDavid Hand, author of The Improbability Principle, discusses statistics and the laws behind chance moments.
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Advantages of Bootstrap Forest for Yield AnalysisMaintain a high level of quality and control (in less time) with the bootstrap forest method. Here’s how!
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The Building Better Model SeriesThis webinar provides an extensive overview of the benefits of using neural networks.
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Neural NetworksExtensive overview of Neural Networks! Learn how to assist with models that are numerically challenging and time-consuming to fit.
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Advanced Decision TreesAid process improvement with successful root cause analysis. Learn how in this step-by-step guide on random forest techniques.
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Decision TreesPredict customer churn with well-built models. Learn how in this step-by-step video on decision trees.
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Stepwise RegressionWhen should stepwise regression be used to build a good performing model? This webinar segment has the answer and reviews when to stop adding terms to your model.
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Introduction to Modeling and Model ComparisonHow can you avoid overfitting your models? This video segment will guide you on how to use cross validation, ROC curves, response models and more.
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Discovering Partial Least Squares with JMPSee how Partial Least Squares (PLS) is used to solve a drug development dilemma. You'll also learn how this flexible statistical technique can be used to models relationships--even those with noisy inputs and multiple outputs
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Predictive Analytics Theory for Real Business ProblemsBart Baesens, author of Credit Risk Management, on his research in predictive analytics and customer relationship management.
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Using Predictive Analytics to Spot Patterns and Uncover SolutionsNoted author and applied statistician Dick De Veaux calls predictive analytics mission-critical for making business decisions.
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How to Succeed in Data Mining and Predictive AnalyticsDean Abbott talks about ways to get started applying statistics to your work.
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Data Exploration in Preparation for ModelingCase study: uncover the process a leading catalog retailer uses to prep data before building response models.
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Data Mining Techniques, Third EditionData Miners, Inc. co-founders explain how to create derived variables through a study on modeling customer attrition.
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Worst Practices in Data MiningData mining expert Dick De Veaux discusses case studies from a range of industries to illustrate pitfalls that can frustrate problem-solving and discovery.
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Estimating the Degradation Rate of Photovoltaic Arrays Using a Two-Component Nonlinear ModelBased on only one year of data, Chris Gotwalt, Director of Statistical R&D, predicts the relative power output of solar cells for five years into the future.
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Moving from SPSS to JMPTransitioning from SPSS to JMP? See how each software handles descriptive statistics, visualizations, bivariate tests, contingency tables and model building.
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The Improbability PrincipleDownload a complimentary chapter from David Hand's well-known book, The Improbability Principle: Why Coincidences, Miracles, and Rare Events Happen Every Day.
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How R&D Labs Can Learn More From Their Positive ControlsThe ultimate goal is to build models that predict a future that can be precisely reproduced by anyone,at any time So, how can two people get different results despite using the same equipment and protocols? Find out.
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Statistical Intervals: Confidence, Prediction, EnclosureThis paper uses a manufacturing example to describe the differences between confidence, prediction and tolerance intervals.
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Sungkyunkwan UniversityResearchers use JMP to craft tailor-made machine learning applications for industry client, POSCO.
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Septeni HoldingsA data-driven human resource strategy is the key to increasing employee retention and performance.
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University of MichiganBusiness school uses JMP for courses in introductory statistics and data mining.
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University of HyogoResearchers make impressive strides in social system engineering.
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University of Southern CaliforniaUniversity uses JMP for analytics and exploratory data mining in MBA classes.
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Khaled bin Sultan Living Oceans FoundationA marine biologist uses predictive modeling to help prioritize conservation efforts.
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Ferring Pharmaceuticals & NNEJMP Clinical enables Ferring to implement a custom centralized statistical monitoring program designed by consultancy NNE.
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North Carolina Department of TransportationThe department makes strategic improvements with Lean Six Sigma.
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Hokkaido UniversityAn analytics course helps medical students develop transferable statistics skills.
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Oshkosh CorporationEngineers revolutionize customer support systems with text analytics.
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Stanford University School of MedicineResearcher uses JMP to explore associations between genetic markers.
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VillanovaA business school professor uses JMP Pro to advance an analytics curriculum.
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University of ConnecticutJMP helps students gain a fundamental knowledge of analytics.
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AllnexText exploration helps researchers gain business insight from a vast quantity of patent data.
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MurataEngineers apply JMP on-site to improve objective analysis results.
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USDA Animal and Plant Health Inspection ServiceScientists assess the risks of plant pest invasions and monitor their movements.
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Virginia TechAn interdisciplinary research effort sheds light on lemur behavior.
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Mario Negri Institute for Pharmacological ResearchEpidemiologist uses JMP to study aging, anemia, Alzheimer's and more.
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Chemistry MattersData visualization helps forensic chemists explain evidence to judges, juries, law enforcement and environmental agencies.
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Ono PharmaceuticalA statistical approach helps Ono Pharmaceutical build quality controls directly into manufacturing methods
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University of GenevaGraduate students use JMP to learn the ins and outs of analytics in the business world.
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GlaxoSmithKlineScientists and engineers improve production processes.
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Kyoto UniversityJMP helps educators train future public health practitioners.
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Mitsubishi Tanabe PharmaResearchers use JMP outputs to make pharmaceutical production processes more efficient and reliable.
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Shibaura Institute of TechnologyStudents and faculty members rely on JMP Pro to augment their use of statistical analysis in coursework and research.
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Penn Vet Working Dog CenterResearchers look at behavioral trends to better predict which dogs will be best suited to which working dog roles.
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W.L. Gore JapanW.L. Gore Japan improves process efficiency by adopting a statistics-driven operational approach.
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ArlendaArlenda uses JMP to help pharmaceutical companies establish more effective, less expensive development and manufacturing processes.
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Eastman ChemicalJMP and JMP Pro allow a team of statisticians to interactively engage with their data and share insights with internal clients.
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Houston AstrosHow the losingest team in baseball found a competitive edge with analytics.
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Nanjing Sport InstituteA culture of statistical thinking permeates research and learning in epidemiology and exercise science.
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BASFChemists uncover a replacement for phosphates in dish detergent.
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Oklahoma State UniversityA business analytics master’s program takes a cue from industry partners.
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Roche UKA forward-thinking statistical monitoring program helps ensure smooth and accurate regulatory filings.
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BridgestoneAnalytics speeds the R&D process for high-performance tire formulations.
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Boston UniversityAt Boston University, custom JMP add-ins make statistics more interactive.
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San Diego ZooConservation scientists use JMP to develop new management strategies that have the potential to save endangered species.
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LufthansaLufthansa uses JMP improve flight schedules and keep customer satisfaction high.
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North Carolina State University Department of Industrial and Systems EngineeringAn industrial engineer analyzes data from designed experiments to study driver distraction.
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Cranfield UniversityGraduate students in Strategic Marketing use data to drive successful segmentation, targeting and positioning strategies.
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Federal Aviation AdministrationThe FAA analyzes air traffic data to help planes keep their distance.
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Davidson CollegeA sports analytics program helps the Davidson Wildcats up their game.
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Nu SkinNu Skin developed an interactive JMP environment in eight months from concept to implementation.
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KraftKraft Foods deploys a unique software tool that cuts analysis time in half.
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MedtronicAn R&D team develops a new, easily replicated methodology for evaluating medical device performance.
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P&GQuantitative scientists use statistics to advance P&G’s most iconic consumer brands.
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Colorado Department of Public Health and EnvironmentAn epidemiologist uses data analysis to help patients living with HIV/AIDS reenter the care continuum.
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MerckBiostatisticians use interactive features in JMP to perform robust statistical analyses in less time.
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FreseniusFresenius uses JMP to streamline a medical device manufacturing process with innovative Visual Six Sigma thinking
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MedytoxA Korean biopharmaceutical trailblazer prepares to enter the global market by ‘strengthening internal infrastructure and improving clinical quality.’
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Bionano GenomicsEngineers consolidate a resource-intensive pipeline by modeling computational time for optical map assembly in JMP.
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McDonald'sPredictive analytics helps anticipate trends.
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US Department of Energy National Renewable Energy LaboratoryUS Department of Energy optimizes solar energy systems with JMP.
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Valard ConstructionData scientists develop labor force models in JMP to optimize crew productivity.