Book Chapters

• Book Chapter Regression and Analysis of VarianceIn this chapter excerpt from Peter Goos and Ellen Vandervieren's book Regression and Analysis of Variance, you'll learn about the use of multiple quantitative explanatory variables in JMP.
• e-Book 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.
• Book Chapter 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.
• Book Chapter 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.
• Book Chapter 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.
• Book Chapter Predictive Analytics Via Text MiningDownload a complimentary chapter about text mining for predictive analytics.
• Book Chapter Optimal Design of Experiments: A Case Study ApproachWhat is a blocked experiment? When is one used and how is it constructed? Find out in this case study.
• Book Chapter Statistics with JMP: Hypothesis Tests, ANOVA and RegressionAnother great instruction guide by Professors Peter Goos and David Meintrup! This chapter specifically covers discrete and continuous random variables, with a focus on bivariate probability distributions and densities.
• Book Chapter Survey Data Analysis: The FundamentalsNew case study demonstrates best practices for survey analysis in JMP (including tips for dealing with missing data).
• Book Chapter Pharmaceutical Quality by Design Using JMPLearn how QbD and good data visualization is used in early stage product development to help pharma organizations create more effective quality controls.
• Book Chapter Combinatorial Testing: An Approach to Systems and Software Testing Based on Covering ArraysThis chapter explores the testing approach known as combinatorial testing, using examples derived from real software systems.
• Book Chapter Basics of Experimentation and Response Surface Methodology This book chapter explores the fundamentals of good experimentation. The authors' approach uses models to understand formulation systems and identify formulations that meet study objectives.
• Book Chapter The Analytics Lifecycle ToolkitDownload a complimentary chapter from The Analytics Lifecycle Toolkit, which provides a framework for the effective use of analytics at your organization.
• Book Chapter Problem Solving for New Engineers: What Every Engineering Manager Wants You to KnowDownload a complimentary chapter about the strategy and tools needed to solve problems through experimentation.
• Book Chapter Information Quality: The Potential of Data and Analytics to Generate KnowledgeNew case studies: find out how Information Quality was used as a guide to predict water quality and control a film deposition process.
• Book Chapter Building Better Models with JMP ProDiscover the “what, why and how” of neural networks through case studies, figures and exercises. Examples demonstrate how models are used for both classification and prediction across an array of applications.
• Book Chapter Statistics with JMP: Graphs, Descriptive Statistics and ProbabilityNeed a better understanding of basic statistical theory and its applications? Let Professors Peter Goos and David Meintrup be your guide! An overview of descriptive statistics for nominal, ordinal and quantitative data, with particular attention to graphical representations is provided.
• Book Chapter Detecting Fraud at the Clinical SiteOrganizations find a better way to protect participants in clinical trials. Learn the graphical and statistical approaches being used to identify site- and patient-perpetrated fraud.
• Book Chapter Discovering Partial Least Squares with JMPSee how Partial Least Squares (PLS) is used to solve a drug development dilemma. You'll also learn how this flexible statistical technique can be used to models relationships--even those with noisy inputs and multiple outputs
• Book Chapter Data Mining Techniques, Third EditionData Miners, Inc. co-founders explain how to create derived variables through a study on modeling customer attrition.
• Book Chapter The Improbability PrincipleDownload a complimentary chapter from David Hand's well-known book, The Improbability Principle: Why Coincidences, Miracles, and Rare Events Happen Every Day.