Six Sigma with R : Statistical Engineering for Process Improvement
Emilio L. Cano
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Nonlinear Parameter Optimization Using R Tools
John C. Nash
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Complex Survey Data Analysis with SAS
Taylor H. Lewis
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Using R for Introductory Statistics
John (CUNY/College of Staten Island, New York, USA) Verzani
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Exploring Arduino : Tools and Techniques for Engineering Wizardry
Jeremy Blum
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An Introduction to Secondary Data Analysis with IBM SPSS Statistics
John MacInnes
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Multilevel and Longitudinal Modeling with IBM SPSS
Ronald H. (University of Hawaii, Manoa) Heck
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SAS for Mixed Models : Introduction and Basic Applications
Walter W. Stroup
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Practical and Efficient SAS Programming : The Insider's Guide
Martha Messineo
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Pharmaceutical Quality by Design Using JMP : Solving Product Development and Manufacturing Problems
Rob Lievense
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R for Marketing Research and Analytics
Chris Chapman
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Solving PDEs in Python : The FEniCS Tutorial I
Hans Petter Langtangen
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Fitting Models to Biological Data Using Linear and Nonlinear Regression : A Practical Guide to Curve Fitting
Harvey Motulsky
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Ecological Statistics : Contemporary theory and application
Gordon A. Fox
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Fitting Models to Biological Data Using Linear and Nonlinear Regression : A Practical Guide to Curve Fitting
Harvey Motulsky
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JMP Essentials : An Illustrated Guide for New Users, Third Edition
Curt Hinrichs
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Exercises and Projects for The Little SAS Book, Sixth Edition
Rebecca A. Ottesen
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Practical Data Analysis with JMP, Third Edition
Robert Carver
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Software Design for Engineers and Scientists
John Allen Robinson
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Partial Differential Equations and Boundary Value Problems with Maple
George A. Articolo
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IBM SPSS for Introductory Statistics : Use and Interpretation, Sixth Edition
George A. Morgan
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