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 Significance of Data Science EthicsHear from top researchers in the world of Astrophysics.
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Making Discoveries Easier with Design of ExperimentsJoin us for keynote talks and a panel discussion where we’ll simplify DOE.
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Exploring the Cosmos Near and FarHear from top researchers in the world of Astrophysics.
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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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How Design of Experiments Can Transform the Way We InnovateFind inspiration in analytics success stories from Moderna, Roche Diagnostics and CPI
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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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.
Technically Speaking
Case studies that demonstrate how to approach real-world data analysis problems.
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Producers, Consumers, and Servicers: Three Perspectives on ReliabilityJerry Fish shares core reliability analysis techniques and best practices by walking through a hypothetical case study based on HVAC reliability.
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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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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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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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Quality Tools for Process Improvement MethodologiesAlisa Hunt-Lowery discusses how understanding and acting on factors influencing quality can result in reduced cost, faster time to market, better quality, and other benefits to your organization.
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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Understanding and Modeling Response Curves -
Importing, Consolidating & Maximizing the Value of Excel Data -
Visualizing and Exploring Data -
New in JMP® 16 and JMP® Pro 16JMP 16 and JMP Pro 16 enhance and add statistical and analytic capabilities that help you visualize, examine and model data about your products, processes and customers.
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Getting your Data into JMP and Preparing it for AnalysisSee how to use the flexible import capabilities and powerful data manipulation tools in JMP to shape your data and meet any analysis challenge..
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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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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Optimal Experimental Plan: DOE Experts Peter Goos and Bradley JonesJoin author and University of Leuven Professor Peter Goos and SAS Principal Research Fellow Bradley Jones to learn how to use optimal designs that can reduce the cost of experimentation, accommodate multiple types of factors, and lead to optimal factor settings even when the design space is constrained.
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.