Resource Center
Explore our full list of resources for quick, relevant results
White Papers
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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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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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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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Measurement Systems Analysis for Curve DataJMP Pro does an impressive job quickly and simply solving Measurement Systems Analysis with curve data, a complex and relevant problem.
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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.
On-Demand Webinars
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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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Dr Reddy’s: How to make analytical methods fit-for-purposeLearn about advances in developing scientific analytical methods development and validation in the pharmaceutical industry
Customer Stories
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Murata FinlandAutomated data integration processes in JMP extract monumental value from the digital factory.
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Jeju Semiconductor CorporationAn all-in-one statistical workflow is key to optimizing the impact of an R&D-focused business model.
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Thermo Fisher ScientificScientists and engineers working at the forefront of technology transfer integrate sophisticated statistical approaches in JMP.
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RiffynResearchers developed and validated a reagent- and instrument-agnostic SARS-CoV-2 diagnostic assay within nine weeks.
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Karlsruher Institute of TechnologyConservation biologists look to sophisticated statistical approaches like machine learning to improve species survival.
Book Chapters
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Cautionary Tales in Designed ExperimentsThe beauty of DOE is about learning—from mistakes, from trying new things, and from working with others.. In this free e-book legendary author Dr. David Salsburg looks at the history of DOE and shares what to do (and what not to do) to successfully execute designed experiments.
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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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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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Predictive Analytics Via Text MiningDownload a complimentary chapter about text mining for predictive analytics.
Articles
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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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Dark data and the pandemicAuthor David Hand explains the novel statistical challenges presented by the novel coronavirus.
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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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Building analytics communities across the enterpriseAlex Pamatat explains how NXP Semiconductors empowers its people to use analytics throughout their organization.
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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.