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eBooks > Non-Fiction > Computing & I.T. > Business Applications > Mathematical & Statistical Software
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  • Around the World in 80 Games : A mathematician unlocks the secrets of the greatest games - Marcus du Sautoy
    Around the World in 80 Games
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    Marcus du Sautoy
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  • Intelligent Methods with Applications in Volcanology and Seismology : Earth and Environmental Science (R0) - Alireza Hajian
    Intelligent Methods with Applications in Volcanology and Seismology
    Earth and Environmental Science (R0)
    Alireza Hajian, Giuseppe Nunnari and Roohollah Kimiaefar
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  • Computer Vision : Statistical Models for Marr's Paradigm - Song-Chun Zhu
    Computer Vision
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    Song-Chun Zhu and Ying Nian Wu
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  • Numerical Brain Teasers : Exercise Your Mind - Erica Sadun
    Numerical Brain Teasers
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    Erica Sadun
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  • New Frontiers in Bayesian Statistics : BAYSM 2021, Online, September 1-3 - Raffaele Argiento
    New Frontiers in Bayesian Statistics
    BAYSM 2021, Online, September 1-3
    Raffaele Argiento, Federico Camerlenghi and Sally Paganin
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  • Computational Models of Speech Pattern Processing - Keith Ponting
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    Keith Ponting
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  • XploRe® - Application Guide - W. Härdle
    XploRe® - Application Guide
    W. Härdle, Z. Hlavka and S. Klinke
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  • The Grammar of Graphics - Leland Wilkinson
    The Grammar of Graphics
    Leland Wilkinson
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  • Principles of Data Mining and Knowledge Discovery : Third European Conference, PKDD'99 Prague, Czech Republic, September 15-18, 1999 Proceedings - Jan Zytkow
    Principles of Data Mining and Knowledge Discovery
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    Jan Zytkow
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  • Mixed-Effects Models in S and S-PLUS - José Pinheiro
    Mixed-Effects Models in S and S-PLUS
    José Pinheiro and Douglas Bates
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  • Using SPSS for Windows : Data Analysis and Graphics - Susan B. Gerber
    Using SPSS for Windows
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    Susan B. Gerber and Kristin Voelkl Finn
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  • COMPSTAT : Proceedings in Computational Statistics 14th Symposium held in Utrecht, The Netherlands, 2000 - Jelke G. Bethlehem
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    Jelke G. Bethlehem and Peter G.M. van der Heijden
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  • Functional and High-Dimensional Statistics and Related Fields - Germán Aneiros
    Functional and High-Dimensional Statistics and Related Fields
    Germán Aneiros, Philippe Vieu and Enea G. Bongiorno
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  • Non-Asymptotic Analysis of Approximations for Multivariate Statistics - Yasunori Fujikoshi
    Non-Asymptotic Analysis of Approximations for Multivariate Statistics
    Yasunori Fujikoshi and Vladimir V. Ulyanov
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  • DUNE — The Distributed and Unified Numerics Environment - Oliver Sander
    DUNE — The Distributed and Unified Numerics Environment
    Oliver Sander
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  • An Introduction to Cellular Network Analysis Using Stochastic Geometry : eBColl Synthesis Collection 12 - Jeffrey G. Andrews
    An Introduction to Cellular Network Analysis Using Stochastic Geometry
    eBColl Synthesis Collection 12
    Jeffrey G. Andrews, Abhishek K. Gupta, Ahmad Alammouri and Harpreet S. Dhillon
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  • Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2020+1 : Selected Papers from the ICOSAHOM Conference, Vienna, Austria, July 12-16, 2021 - Jens M. Melenk
    Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2020+1
    Selected Papers from the ICOSAHOM Conference, V...
    Jens M. Melenk, Ilaria Perugia, Joachim Schöberl and Christoph Schwab
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  • An Introduction to Statistical Learning : with Applications in Python - Gareth James
    An Introduction to Statistical Learning
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    Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani and Jonathan Taylor
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  • Bioaerosol Characterisation, Transportation and Transmission : Fundamental, Modelling and Application - Yihuan Yan
    Bioaerosol Characterisation, Transportation and Transmission
    Fundamental, Modelling and Application
    Yihuan Yan and Jiyuan Tu
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  • A Gentle Introduction to Group Theory : Mathematics and Statistics (R0) - Bana Al Subaiei
    A Gentle Introduction to Group Theory
    Mathematics and Statistics (R0)
    Bana Al Subaiei and Muneerah Al Nuwairan
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  • SPSS Statistics Workbook For Dummies - Jesus Salcedo
    SPSS Statistics Workbook For Dummies
    Jesus Salcedo and Keith McCormick
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  • Shallow and Deep Learning Principles : Scientific, Philosophical, and Logical Perspectives - Zekâi ?en
    Shallow and Deep Learning Principles
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    Zekâi ?en
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  • Applied Linear Regression for Business Analytics with R : A Practical Guide to Data Science with Case Studies - Daniel P. McGibney
    Applied Linear Regression for Business Analytics with R
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    Daniel P. McGibney
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  • Google JAX Essentials - Mei Wong
    Google JAX Essentials
    Mei Wong
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  • Power BI Machine Learning and OpenAI : Explore data through business intelligence, predictive analytics, and text generation - Greg Beaumont
    Power BI Machine Learning and OpenAI
    Explore data through business intelligence, pre...
    Greg Beaumont
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  • Practical Handbook of Curve Fitting - Sandra Arlinghaus
    Practical Handbook of Curve Fitting
    Sandra Arlinghaus
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  • R for Quantitative Chemistry - David K. Gosser
    R for Quantitative Chemistry
    David K. Gosser
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  • Practicing R for Statistical Computing : Mathematics and Statistics (R0) - Muhammad Aslam
    Practicing R for Statistical Computing
    Mathematics and Statistics (R0)
    Muhammad Aslam and Muhammad Imdad Ullah
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  • Statistical Models and Methods for Data Science : Springer Nature Proceedings excluding Computer Science - Leonardo Grilli
    Statistical Models and Methods for Data Science
    Springer Nature Proceedings excluding Computer ...
    Leonardo Grilli, Monia Lupparelli, Carla Rampichini, Emilia Rocco and Maurizio Vichi
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  • Bayesian Nonparametrics for Causal Inference and Missing Data : Chapman & Hall/CRC Monographs on Statistics and Applied Probability - Michael J. Daniels
    Bayesian Nonparametrics for Causal Inference and Missing Data
    Chapman & Hall/CRC Monographs on Statistics and...
    Michael J. Daniels, Antonio Linero and Jason Roy
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  • AI-ML for Decision and Risk Analysis : Challenges and Opportunities for Normative Decision Theory - Louis Anthony Cox Jr.
    AI-ML for Decision and Risk Analysis
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    Louis Anthony Cox Jr.
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  • Business Intelligence : 8th International Conference, CBI 2023, Istanbul, Turkey, July 19-21, 2023, Proceedings - Rachid El Ayachi
    Business Intelligence
    8th International Conference, CBI 2023, Istanbu...
    Rachid El Ayachi, Mohamed Fakir and Mohamed Baslam
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  • Structural Equation Modeling Using R/SAS : A Step-by-Step Approach with Real Data Analysis - Ding-Geng Chen
    Structural Equation Modeling Using R/SAS
    A Step-by-Step Approach with Real Data Analysis
    Ding-Geng Chen and Yiu-Fai Yung
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  • SPSS Explained - Perry R. Hinton
    SPSS Explained
    Perry R. Hinton, Isabella McMurray, Charlotte Brownlow and Peter C. Terry
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  • R for the Rest of Us : A Statistics-Free Introduction - David Keyes
    R for the Rest of Us
    A Statistics-Free Introduction
    David Keyes
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  • MS Excel Bible, Save Your Time With MS Excel! : 8 Quality Excel Books in 1 Package - Andrei Besedin
    MS Excel Bible, Save Your Time With MS Excel!
    8 Quality Excel Books in 1 Package
    Andrei Besedin
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  • M-statistics : Optimal Statistical Inference for a Small Sample - Eugene Demidenko
    M-statistics
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    Eugene Demidenko
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  • Encyclopedia of Mathematical Geosciences : Reference Module Earth and Environmental Sciences - B. S. Daya Sagar
    Encyclopedia of Mathematical Geosciences
    Reference Module Earth and Environmental Sciences
    B. S. Daya Sagar, Qiuming Cheng, Jennifer McKinley and Frits Agterberg
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  • Computational Intelligence-based Optimization Algorithms : From Theory to Practice - Babak Zolghadr-Asli
    Computational Intelligence-based Optimization Algorithms
    From Theory to Practice
    Babak Zolghadr-Asli
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  • R for Data Science : Import, Tidy, Transform, Visualize, and Model Data - Hadley Wickham
    R for Data Science
    Import, Tidy, Transform, Visualize, and Model Data
    Hadley Wickham, Mine Çetinkaya-Rundel and Garrett Grolemund
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  • Applications of Regression for Categorical Outcomes Using R - David Melamed
    Applications of Regression for Categorical Outcomes Using R
    David Melamed and Long Doan
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  • Measurement, Mathematics and New Quantification Theory : Mathematics and Statistics (R0) - Shizuhiko Nishisato
    Measurement, Mathematics and New Quantification Theory
    Mathematics and Statistics (R0)
    Shizuhiko Nishisato
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  • Communication Principles for Data Science : Computer Science (R0) - Changho Suh
    Communication Principles for Data Science
    Computer Science (R0)
    Changho Suh
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  • R Packages : Organize, Test, Document, and Share Your Code - Hadley Wickham
    R Packages
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    Hadley Wickham and Jennifer Bryan
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  • Industrial Statistics : A Computer-Based Approach with Python - Ron S. Kenett
    Industrial Statistics
    A Computer-Based Approach with Python
    Ron S. Kenett, Shelemyahu Zacks and Peter Gedeck
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  • Applied Stochastic Modeling : eBColl Synthesis Collection 12 - Liliana Blanco-Castañeda
    Applied Stochastic Modeling
    eBColl Synthesis Collection 12
    Liliana Blanco-Castañeda and Viswanathan Arunachalam
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  • Introduction to Numerical and Analytical Methods with MATLAB® for Engineers and Scientists - William Bober
    Introduction to Numerical and Analytical Methods with MATLAB® for Engineers and Scientists
    William Bober
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  • Introduction to Numerical Analysis and Scientific Computing - Nabil Nassif
    Introduction to Numerical Analysis and Scientific Computing
    Nabil Nassif and Dolly Khuwayri Fayyad
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  • Bayesian Data Analysis - Andrew Gelman
    Bayesian Data Analysis
    Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson and Donald B. Rubin
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  • Using R for Introductory Statistics - John Verzani
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    John Verzani
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  • Introduction to Statistical Data Analysis for the Life Sciences - Claus Thorn Ekstrom
    Introduction to Statistical Data Analysis for the Life Sciences
    Claus Thorn Ekstrom and Helle Sørensen
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  • Essential MATLAB and Octave - Jesus Rogel-Salazar
    Essential MATLAB and Octave
    Jesus Rogel-Salazar
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  • Design and Analysis of Experiments with R - John Lawson
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    John Lawson
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  • Introduction to Computational Linear Algebra - Nabil Nassif
    Introduction to Computational Linear Algebra
    Nabil Nassif, Jocelyne Erhel and Bernard Philippe
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  • Computational Statistics Handbook with MATLAB - Wendy L. Martinez
    Computational Statistics Handbook with MATLAB
    Wendy L. Martinez and Angel R. Martinez
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  • A MatLab® Companion to Complex Variables - A. David Wunsch
    A MatLab® Companion to Complex Variables
    A. David Wunsch
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  • Scientific Computing with MATLAB - Dingyu Xue
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    Dingyu Xue and YangQuan Chen
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  • Introductory Statistics with R - Peter Dalgaard
    Introductory Statistics with R
    Peter Dalgaard
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  • Introduction to Time Series and Forecasting - Peter J. Brockwell
    Introduction to Time Series and Forecasting
    Peter J. Brockwell and Richard A. Davis
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  • Multiple Imputation of Missing Data Using SAS - Patricia Berglund
    Multiple Imputation of Missing Data Using SAS
    Patricia Berglund and Steven G. Heeringa
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  • Risk-Based Monitoring and Fraud Detection in Clinical Trials Using JMP and SAS - Richard C. Zink
    Risk-Based Monitoring and Fraud Detection in Clinical Trials Using JMP and SAS
    Richard C. Zink
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  • JMP 12 Consumer Research - SAS Institute
    JMP 12 Consumer Research
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  • JMP 12 Quality and Process Methods - SAS Institute
    JMP 12 Quality and Process Methods
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    JMP 12 Consumer Research
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    JMP 12 Quality and Process Methods
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  • JMP 12 JSL Syntax Reference - SAS Institute
    JMP 12 JSL Syntax Reference
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    JMP 12 JSL Syntax Reference
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  • SAS for Linear Models - Ph.D. Ramon C. Littell
    SAS for Linear Models
    Ph.D. Ramon C. Littell
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    JMP 12 Specialized Models
    SAS Institute
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    JMP 12 Specialized Models
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  • Market Data Analysis Using JMP - Walter R. Paczkowski
    Market Data Analysis Using JMP
    Walter R. Paczkowski
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  • Using JMP 12 - SAS Institute
    Using JMP 12
    SAS Institute
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    Using JMP 12
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  • Discovering Partial Least Squares with JMP - Ian Cox
    Discovering Partial Least Squares with JMP
    Ian Cox and Marie Gaudard
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  • JMP 12 Essential Graphing - SAS Institute
    JMP 12 Essential Graphing
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  • Survival Analysis Using SAS : A Practical Guide - Paul D. Allison
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    Paul D. Allison
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  • Modern Approaches to Clinical Trials Using SAS : Classical, Adaptive, and Bayesian Methods - Sandeep Menon
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    Sandeep Menon
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  • JMP for Basic Univariate and Multivariate Statistics : Methods for Researchers and Social Scientists - PhD Ann Lehman
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    PhD Ann Lehman, Ph.D. Larry Hatcher and Ph.D. Edward J. Stepanski
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    Ron Cody
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  • Categorical Data Analysis Using SAS - Maura E. Stokes
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    Maura E. Stokes, Charles S. Davis and Gary G. Koch
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  • Building Better Models with JMP Pro - Jim Grayson
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    Jim Grayson, Sam Gardner and Mia Stephens
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  • Exchanging Data between SAS and Microsoft Excel - Jr. William E. Benjamin
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  • Design and Analysis of Experiments by Douglas Montgomery : A Supplement for Using JMP - Heath Rushing
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  • Carpenter's Guide to Innovative SAS Techniques - Art Carpenter
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    Art Carpenter
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  • JMP 12 Fitting Linear Models - SAS Institute
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