Books with JMP
Textbooks
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Essentials of Biostatistics for Public Health, 4th Edition
2023 (Jones & Bartlett)by Lisa M. Sullivan
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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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Fundamentals of Predictive Analytics with JMP, 3rd Edition
2023 (SAS Institute)by Ron Klimberg
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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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The Basic Practice of Statistics, 9th Edition
2021 (MacMillan)by David Moore, Bill Notz, Michael Fligner
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Business Statistics - Communicating with Numbers, 4th edition
2021 (McGraw Hill)by Sanjiv Jaggia and Alison Kelly
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Statistics: Concepts and Controversies, 10th Edition
2020 (McMillan)by David S. Moore and WIlliam I. Notz
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The Practice of Statistics for Business and Economics, 5th Edition
2020 (McMillan)by Layth C. Alwan, Bruce A. Craig, and George P. McCabe
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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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Introduction to Statistics and Data Analysis, 6th Edition
2020 (Cengage)by Roxy Peck, Chris Olsen, and Tom Short
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Introductory Statistics: A Problem-Solving Approach, 3rd Edition
2020 (McMillan)by Stephen Kokoska
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Practical Data Analysis with JMP, 3rd Edition
2019 (SAS Institute)by Robert Carver
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Introduction to Biostatistics with JMP
2019 (SAS Institute)by Steve Figard
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Design and Analysis of Experiments, 10th Edition
2019 (Wiley)by Douglas C. Montgomery
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Statistics: Learning from Data, 2nd Edition
2019 (Cengage)by Roxy Peck & Tom Short
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Stats: Data and Models, 5th Edition
2019 (Pearson)by Richard D. De Veaux, Paul F. Velleman, and David E. Bock
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Intro Stats, 5th Edition
2018 (Pearson)by Richard D. De Veaux, Paul F. Velleman and David E. Bock
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The Practice of Statistics in the Life Sciences, 4th Edition
2018 (MacMillan)by Brigitte Baldi and David S. Moore
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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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Statistics for Business: Decision Making and Analysis, 3rd Edition
2017 (Pearson)by Robert E. Stine and Dean Foster
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Market Data Analysis Using JMP
2016 (SAS Institute)by Walter R. Paczkowski
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Statistics with JMP: Hypothesis Tests, ANOVA and Regression
2016 (Wiley)by Peter Goos, David Meintrup
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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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Fundamentals of Predictive Analytics with JMP, 2nd Edition
2016 (SAS Institute)by Ron Klimberg and Bruce McCullough
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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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Essentials of Marketing Research, 6th edition
2015 (Cengage)by Barry J. Babin and William G. Zikmund
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Basic Business Statistics, 14th Edition
2015 (Pearson) by Mark Berenson, David Levine, and Kathryn Szabat
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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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Business Statistics, 3rd Edition
2014 (Pearson)by Norean Sharpe, Dick De Veaux and Paul Velleman
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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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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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Applied Reliability, 3rd Edition
2011 (CRC Press)by Paul A. Tobias and David Trindade
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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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Analysis of Messy Data Volume 1: Designed Experiments
2009 (CRC Press)by George A. Milliken and Dallas E. Johnson
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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