Statistically Speaking
How do the best organizations innovate? Learn from industry leaders who use modern statistical techniques to gain a competitive advantage.
On-Demand Webinars
Statistically Speaking
Virtual keynote and panel conversations showcasing innovative organizations and their use of cutting-edge statistics.
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Intentional visualizations help untangle complex dataFrom policy to sports to environmental investigations — data visualization leads to insights
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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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Lead your organization to analytic excellenceHow P&G, Intel Corporation and Seagate Technology embed analytics throughout the organization
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The power of structured experimentation in science and engineeringMicrosoft, Riffyn and Corning use design of experiments to solve problems, create new products
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Why quality improvement is imperative in the big data eraXaar, NNE and IT&M Stats increase efficiency and effectiveness with modern quality engineering
Analytically Speaking
Thought-provoking interviews with leading experts in analytics.
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Improving Mining Operations With Statistics -
The Judgment Calls We Make in Dashboard DesignNick Desbarats, information dashboard expert, explains why our charts are biased and how to design graphs that are useful to your audience.
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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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Data Analytics Adds Value in the Mining IndustryHans de Roos helps companies use statistics to assess and make predictions about available mineral resources, bringing scientific rigor to the entire process.
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Questioning the Numbers of Everyday LifeSir David Spiegelhalter on improving the public understanding of risk and uncertainty.
Technically Speaking
Case studies that demonstrate how to approach real-world data analysis problems.
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Design of Experiments in Lean Product DevelopmentLearn how design of experiments (DOE) can serve as the engine to help you quickly generate the knowledge needed to deliver profitable value streams.
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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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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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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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Well Performance Evaluation With Data-Driven Analytics to Optimize a Hydraulic Fracture StrategyLearn to analyze risk and uncertainty, strengthen confidence in completion strategies and maximize oil well performance with a modeling strategy that aggregates spatial, temporal and field data.
Best Practices in Reliability Data Analysis
Statistical techniques for more profitable reliability insights.
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Accelerated Destructive Degradation AnalysisSometimes product failures don’t occur until after a long period of performance degradation. Learn how degradation analysis lets you make predictions about failure times across a variety of use conditions.
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Accelerated Life TestingIn what situations can accelerated life testing be useful? How can data transformations simplify the modeling process? What common pitfalls need to be avoided? Find out in this webinar with Dr. Bill Meeker.
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Bayesian Inference in ReliabilityThe data available to make inferences about reliability is often very limited. Bayesian methods provide a formal way to deal with these situations. Learn how in this webinar with Dr. Bill Meeker.
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Probability Plots in Life DistributionFind out how to select the appropriate distribution-specific plotting scale (i.e., normal, Weibull, lognormal) and apply maximum likelihood estimation to extrapolate failure rates into the future.
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Using Reliability Block Diagrams in System DesignThrough examples based on personal computers and automobile brakes, Dr. Bill Meeker explains how reliability block diagrams can be used to achieve reliability goals for complex, multi-component systems.
Mastering JMP
Practical JMP techniques to address common analytic challenges.
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Machine Learning and Biomarker Sub-Group Analysis for Precision MedicineSee how to use analyze wide data using JMP Genomics and apply modern machine learning and statistical techniques can be applied for prognostic and predictive analytic approaches to biomarker discovery.
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Extracting Practical Information from Quality-by-Design ModelsSee how to use model types and techniques; test, training and validation data; and ways to tune models to get the most useful predictive information. This second part of a two-part series uses a case study to demonstrate the application of principles using JMP and JMP Pro.
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Building Better Predictive Models Using JMP Pro®See how to use model types and techniques; test, training and validation data; and ways to tune models to get the most useful predictive information. This second part of a two-part series uses a case study to demonstrate the application of principles using JMP and JMP Pro.
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JMP® Clinical: Conducting Medical Safety Reviews of Clinical TrialsSee examples of how to use JMP Clinical to examine adverse events, abnormal findings and drug efficacy indicators to help expedite the review, analysis and reporting of clinical trials.
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Screening and Controlling Manufacturing ProcessesUnderstand how to use JMP to evaluate the Voice of the Process (process performance) and Voice of the Customer (process adherence to customer specifications). See how to monitor and analyze large amounts of data necessary to maintain or improve quality. Learn how to import process data and along with their specification and control limits to scan processes for stability and capability so you can focus attention on processes needing improvement.
Explorers
In-depth explorations of analytic best practices and leading-edge data analysis concepts.
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Using Experimental Design to Increase Predictability, Optimize Processes and Lower CostsLearn best practices for accelerating learning cycles and reducing costs while tackling complicated challenges with custom DOE.
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Beyond Dashboards: Designing Dashboards That Users Actually LikeUncover the real reasons, far deeper than the visual design, why so many dashboards fail to satisfy users and organizations.
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Improving Product Reliability With Quality By DesignLearn leading-edge new strategies to improve product reliability in the pharmaceutical industry.
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Reproducible Experimentation for Diagnostically Driven Drug ResearchMatt Wongchenko and Russ Wolfinger discuss strategies for leveraging data and statistical tools to achieve better, reproducible science.
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Modern Genomic Methods for Crop Improvement in Breeding ProgramsEric Jackson and Kelci Miclaus discuss new strategies to increase production and drive selection of healthier crops.
Building Better Models
Improve your models with modern predictive modeling techniques.
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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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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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Decision TreesPredict customer churn with well-built models. Learn how in this step-by-step video on decision trees.
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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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Neural NetworksExtensive overview of Neural Networks! Learn how to assist with models that are numerically challenging and time-consuming to fit.