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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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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Expert guidance on making the most of machine learning Demystify the buzzwords and expand your toolkit
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Stay relevant and competitive with modern quality engineeringLos Alamos National Lab, Siemens Healthineers and Wolfspeed embrace automation and the rise of the digital economy
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Solving science and engineering problems with machine learningRolls-Royce, Tata Steel and SABIC innovate with machine learning and AI
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Data visualization best practices can transform the work of scientists and engineersInsights from experts at W.L. Gore and SAS on how to gain momentum for your ideas and inform strategic decision making
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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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.
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QbD: Using DOE to Increase Knowledge of the Process and Design SpaceDiscover when to apply design of experiments and how to identify different strategies to suit a variety of experimental needs.
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Analytical Method DevelopmentDiscover a new approach that will enable to you to expend as few resources as possible while maximizing the information you get from an assay.
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Pharmaceutical Method TransferConduct a successful analytical method transfer with time-saving statistical methods. In this webinar, you’ll learn new best practices to help streamline testing protocols.
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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Sharing Your ResultsSee how to save JMP results for JMP users and those who do not use JMP. Learn to, with no scripting required, save repeatable analyses for replay, interactively build a presentation-ready dashboard to run and present reports on a regular basis; create journals that include JMP results and links to data and resources outside JMP; publish interactive results to web servers; and more.
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Expression/NextGen Sequencing Analysis for Translational GenomicsSee how to use Next Generation Sequencing to help find molecular candidates for new therapies, medical advances and diagnostic tools and molecular technologies. Learn how to use Expression to investigate molecular responses to perturbations in biological systems and normalize and analyze array data and summaries from NGS studies that use intensity, aligned read and count data formats.
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Identifying Unusual Patterns that Might Identify Data Integrity Issues Learn to screen data tables for unexpected patterns that might indicate the presence of data integrity issues, from data recording or formatting errors to data falsification. See several case studies in financial, medical, and industrial domains that show how to interactively look for patterns in data tables.
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Designing Mixture Experiments - Part 2Two case studies show how to create, analyze and interpret the results of several types of mixture designs, including with more than 3 ingredients and more than 2 responses.
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Using Structural Equation Models to Uncover Relationships between Observed and Latent VariablesLearn about Structural Equation Models, when they might be useful, and how to create them to specify and test hypothesized relationships among observed and unobserved variables. See how JMP Pro starts by modeling means and variances for all variables, lets you see multiple views of the model while it is being built and provides model details that can alert you to model weaknesses prior to running the model. Learn how to compare fitted models to baseline unrestricted and baseline independence models.
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.