Articles

• Article Genomic Analysis with JMP ProJMP Pro includes many enhancements to efficiently handle large wide tables with hundreds of thousands of columns and thousands of rows, making it the perfect tool for genomic analysis. Learn more with e-book from JMP Support.
• Article You Don't Need Coding to be a ChemistDOE expert Phil Kay says the job of today's chemist is less about making samples and more about generating data
• Article Digitalisation is the future of science, just ask a bologistDOE expert Phil Kay discusses how digitalisation can help automate large and complex experiments, an idea chemists should borrow from their biologist friends.
• Article 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.
• Article Dark data and the pandemicAuthor David Hand explains the novel statistical challenges presented by the novel coronavirus.
• Article 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 .
• Article Building analytics communities across the enterpriseAlex Pamatat explains how NXP Semiconductors empowers its people to use analytics throughout their organization.
• Article Just add water....Tim Gardner shows how applying designed experiments can turn something as simple as "adding a little water" into an operational gain worth hundreds of thousands of dollars per run.
• Article Reliability Data AnalysisLearn about new trends in the statistical assessment of product reliability from expert Dr. Bill Meeker of Iowa State University.
• Article Conjoint AnalysisThis article explains how a local grocer seeks to increase beer revenue by better understanding customer preference, pricing strategy and packaging with conjoint analysis.
• Article Guaranteeing the Quality, Efficacy and Safety of PharmaceuticalsLearn best practices for ensuring quality, efficacy and safety across all levels of drug development and manufacturing.
• Article 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.
• Article What Is Experimental Design?Experiments are more than a demonstration of scientific principles. Bradley Jones describes a utopia where experimental design is a standard engineering procedure and where all products get to market more quickly with better quality and lower cost.
• Article 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.
• Article Three Ways to Create More Effective Data VisualizationsAuthor and distinguished info graphic expert outlines the three "must do's" for better visualizations. He also explains how he's used these techniques in his own work and shows how you can easily apply to yours.
• Article Why Design of Experiments Keeps Science in ScienceA former Kodak chemist outlines how DOE spurs process improvement and efficiency, leaving more time for researchers to focus on the science they love.
• Article 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.
• Article Experimental Design MethodsSelect a design with N runs: How to negotiate experiment size when choosing a design.
• Article Beyond Lean Six SigmaTwo leading quality engineers discuss the importance of adopting a holistic improvement strategy, while acknowledging no one methodology is best for all.