Books with JMP
Books for Advanced Users
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Machine Learning for Business Analytics, 2nd Edition
2023 (Wiley)by Galit Shmueli, Peter Bruce, Mia Stephens, Muralidhara Anandamurthy, and Nitin Patel
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Regression and Analysis of Variance
2022 (acco)by Peter Goos and Ellen Vandervieren
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Modern Industrial Statistics: with Applications in R, MINITAB and JMP, 3rd Edition
2021 (Wiley)by Ron Kenett, Shelemyahu Zacks, Daniele Amberti
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JMP for Mixed Models
2021 (SAS Institute)by Ruth Hummel, Elizabeth A. Claassen, and Russell D. Wolfinger
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Design of experiments: Optimize products and processes, 10th edition (German)
2020 (Hanser)by Wilhelm Kleppmann
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Cautionary Tales in Designed Experiments
2020 (SAS Institute)by David S. Salsburg
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Improving Health Care Quality: Case Studies with JMP
2020 (Wiley)by Mary Ann Shifflet, Cecilia Martinez, Jane Oppenlander, and Shirley Shmerling
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Design of Experiments: A Modern Approach
2019 (Wiley)by Bradley Jones and Douglas C. Montgomery
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Design and Analysis of Experiments, 10th Edition
2019 (Wiley)by Douglas C. Montgomery
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Business Analytics, 3rd Edition
2019 (Cengage)by Camm, Cochran, Fry, Ohlmann, Anderson, Sweeney, and Williams
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Douglas Montgomery's Introduction to Statistical Quality Control: A JMP® Companion
2018 (SAS Institute)by Brenda S. Ramirez and Jose G. Ramirez
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Pharmaceutical Quality by Design Using JMP®: Solving Product Development and Manufacturing Problems
2018 (SAS Institute)by Rob Lievense
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Biostatistics Using JMP®: A Practical Guide
2017 (SAS Institute)by Trevor Bihl
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JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP, 6th Edition
2017 (SAS Institute)by John Sall, Mia L. Stephens, Ann Lehman, and Sheila Loring
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JMP Connections: The Art of Utilizing Connections in Your Data
2017 (SAS Institute)by John Wubbel
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Preparing Data for Analysis with JMP
2017 (SAS Institute)by Rob Carver
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Statistical Intervals: A Guide for Practitioners and Researchers, 2nd Edition
2017 (Wiley)by William Q. Meeker, Gerald J. Hahn and Luis A. Escobar
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Market Data Analysis Using JMP
2016 (SAS Institute)by Walter R. Paczkowski
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Strategies for Formulations Development: A Step-by-Step Guide Using JMP
2016 (SAS Institute)by Ronald Snee and Roger Hoerl
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Visual Six Sigma: Making Data Analysis Lean, 2nd Edition
2016 (SAS Institute)by Ian Cox, Marie Gaudard, and Mia Stephens
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Data Mining for Business Analytics: Concepts, Applications and Techniques with JMP Pro
2016 (Wiley)by Galit Shmueli, Peter Bruce, Mia Stephens, and Nitin Patel
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Exploring Marketing Research, 11th Edition
2016 (Cengage)by Barry J. Babin and William G. Zikmund
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Statistics with JMP: Graphs, Descriptive Statistics and Probability
2015 (Wiley)by Peter Goos, David Meintrup
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Introduction to Time Series Analysis and Forecasting, 2nd Edition
2015 (Wiley)by Douglas C. Montgomery, Cheryl L. Jennings, Murat Kulahci
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Essentials of Marketing Research, 6th edition
2015 (Cengage)by Barry J. Babin and William G. Zikmund
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Activity Based Intelligence
2015 (ARTECH House)by Patrick Biltgen and Stephen Ryan
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Building Better Models with JMP Pro
2015 (SAS Institute)by Jim Grayson, Sam Gardner and Mia Stephens
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Risk-Based Monitoring and Fraud Detection in Clinical Trials Using JMP® and SAS®
2014 (SAS Institute)by Richard C. Zink
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A Practical Guide to Data Mining for Business and Industry: Case Studies and Methodology
2014 (Wiley)by Andrea Ahlemeyer-Stubbe, Shirley Coleman
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Discovering Partial Least Squares with JMP
2013 (SAS Institute)by Ian Cox and Marie Gaudard
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Methods and Applications of Linear Models: Regression and the Analysis of Variance, 3rd edition
2013 (Wiley)by Ronald R. Hocking
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JMP for Basic Univariate and Multivariate Statistics: Methods for Researchers and Social Scientists, 2nd Edition
2013 (SAS Institute)by Ann Lehman, Norm O'Rourke, Larry Hatcher, and Edward Stepanski
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Design and Analysis of Experiments by Douglas Montgomery: A Supplement for Using JMP
2013 (SAS Institute)by Heath Rushing, James Wisnowski, and Andrew Karl
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JSL Companion: Applications of the JMP Scripting Language
2012 (SAS Institute)by Theresa L. Utlaut, Georgia Z. Morgan, and Kevin C. Anderson
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Supplementary Exercises in JMP to Accompany Data Mining Techniques, 3rd Edition
2011 (Wiley)by Michael J. A. Berry
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Applied Reliability, 3rd Edition
2011 (CRC Press)by Paul A. Tobias and David Trindade
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Optimal Design of Experiments: A Case Study Approach
2011 (John Wiley Sons Inc.)by Peter Goos and Bradley Jones
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Multiple Comparisons and Multiple Tests Using SAS, 2nd Edition
2011 (SAS Institute)by Peter H. Westfall, Randall D. Tobias, and Russell D. Wolfinger
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Generalized Linear Models: with Applications in Engineering and the Sciences, 2nd Edition
2010 (Wiley)by Raymond H. Myers, Douglas C. Montgomery, G. Geoffrey Vining, Timothy J. Robinson
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Transportation Statistics and Microsimulation
2010 (CRC Press)by Cliff Spiegelman, Eun Sug Park, and Laurence R. Rilett
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Jump into JMP Scripting, 2nd Edition
2009 (SAS Institute)by Wendy Murphrey and Rosemary Lucas
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Analysis of Messy Data Volume 1: Designed Experiments
2009 (CRC Press)by George A. Milliken and Dallas E. Johnson
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Introduction to Statistical Quality Control, 7th Edition
2008 (Wiley)by Douglas C. Montgomery
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Statistics for Experimenters: Design, Innovation, and Discovery, 2nd Edition
2005 (Wiley)by George E. P. Box, J. Stuart Hunter, and William G. Hunter
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Applied Linear Statistical Models, 5th edition
2004 (McGraw-Hill Higher Education)by by Michael Kutner, Christopher Nachtsheim, John Neter and William Li
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Applied Linear Regression Models
2004 (McGraw-Hill Higher Education)by Christopher J. Nachtsheim and John Neter
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Statistical Methods for Reliability Data, 1st Edition
1998 (Wiley)by Luis A. Escobar and William Q. Meeker
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Response Surface Methodology: Process and Product Optimization Using Designed Experiments, 4th Edition
2016 (Wiley)by Raymond H. Myers, Douglas C. Montgomery, and Christine M. Anderson-Cook