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  • Pattern Recognition Applications and Methods : 8th International Conference, ICPRAM 2019, Prague, Czech Republic, February 19-21, 2019, Revised Selected Papers - Maria De Marsico
    Pattern Recognition Applications and Methods
    8th International Conference, ICPRAM 2019, Prag...
    Maria De Marsico, Gabriella Sanniti di Baja and Ana Fred
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  • Generalized Linear Models With Examples in R : Mathematics and Statistics (R0) - Peter K. Dunn
    Generalized Linear Models With Examples in R
    Mathematics and Statistics (R0)
    Peter K. Dunn and Gordon K. Smyth
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  • Finite Form Representations for Meijer G and Fox H Functions : Applied to Multivariate Likelihood Ratio Tests Using Mathematica®, MAXIMA and R - Carlos A. Coelho
    Finite Form Representations for Meijer G and Fox H Functions
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    Carlos A. Coelho and Barry C. Arnold
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  • The Measurement of Association : A Permutation Statistical Approach - Kenneth J. Berry
    The Measurement of Association
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    Kenneth J. Berry and Janis E. Johnston
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  • The Theory of Queuing Systems with Correlated Flows : Computer Science (R0) - Alexander N. Dudin
    The Theory of Queuing Systems with Correlated Flows
    Computer Science (R0)
    Alexander N. Dudin, Valentina I. Klimenok and Vladimir M. Vishnevsky
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  • Quantitative Methods for the Social Sciences : A Practical Introduction with Examples in SPSS and Stata - Daniel Stockemer
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    Daniel Stockemer
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  • Distributed Computer and Communication Networks : 22nd International Conference, DCCN 2019, Moscow, Russia, September 23-27, 2019, Revised Selected Papers - Vladimir M. Vishnevskiy
    Distributed Computer and Communication Networks
    22nd International Conference, DCCN 2019, Mosco...
    Vladimir M. Vishnevskiy, Konstantin E. Samouylov and Dmitry V. Kozyrev
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  • Distributed Computer and Communication Networks : 22nd International Conference, DCCN 2019, Moscow, Russia, September 23-27, 2019, Revised Selected Papers - Vladimir M. Vishnevskiy
    Distributed Computer and Communication Networks
    22nd International Conference, DCCN 2019, Mosco...
    Vladimir M. Vishnevskiy, Konstantin E. Samouylov and Dmitry V. Kozyrev
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  • Compositional Data Analysis in Practice : Chapman & Hall/CRC Interdisciplinary Statistics - Michael Greenacre
    Compositional Data Analysis in Practice
    Chapman & Hall/CRC Interdisciplinary Statistics
    Michael Greenacre
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  • Statistical Computing with R : Chapman & Hall/CRC The R Series - Maria L. Rizzo
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    Chapman & Hall/CRC The R Series
    Maria L. Rizzo
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  • Probability and Statistics for Data Science : Math + R + Data - Norman Matloff
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    Math + R + Data
    Norman Matloff
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  • Adaptive Filtering : Fundamentals of Least Mean Squares with MATLAB® - Alexander D. Poularikas
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    Alexander D. Poularikas
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  • Big Data : A Tutorial-Based Approach - Nasir Raheem
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    Nasir Raheem
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  • Excel Formulas Revealed - Master Math & Trig Formulas in Microsoft Excel : Master Math & Trig Formulas in Microsoft Excel - Scott Falls
    Excel Formulas Revealed - Master Math & Trig Formulas in Microsoft Excel
    Master Math & Trig Formulas in Microsoft Excel
    Scott Falls
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  • Analyzing Linguistic Data : A Practical Introduction to Statistics using R - R. H. Baayen
    Analyzing Linguistic Data
    A Practical Introduction to Statistics using R
    R. H. Baayen
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  • The Elements of MATLAB Style - Richard K. Johnson
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    Richard K. Johnson
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  • Using R for Numerical Analysis in Science and Engineering : Chapman & Hall/CRC The R Series - Victor A. Bloomfield
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    Chapman & Hall/CRC The R Series
    Victor A. Bloomfield
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  • The Art of R Programming : A Tour of Statistical Software Design - Norman Matloff
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    A Tour of Statistical Software Design
    Norman Matloff
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  • Data Science with Julia - Paul D. McNicholas
    Data Science with Julia
    Paul D. McNicholas and Peter Tait
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  • The Little SAS Book : A Primer, Sixth Edition - Lora D. Delwiche
    The Little SAS Book
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    Lora D. Delwiche and Susan J. Slaughter
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  • SAS Certified Professional Prep Guide : Advanced Programming Using SAS 9.4 - SAS Institute
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    Advanced Programming Using SAS 9.4
    SAS Institute
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  • Simulating Data with SAS - Rick Wicklin
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    Rick Wicklin
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  • Statistical Programming with SAS/IML Software - Rick Wicklin
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    Rick Wicklin
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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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  • Discovering Partial Least Squares with JMP - Ian Cox
    Discovering Partial Least Squares with JMP
    Ian Cox and Marie Gaudard
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  • How to Become a Top SAS Programmer - Michael A. Raithel
    How to Become a Top SAS Programmer
    Michael A. Raithel
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  • Data Preparation for Analytics Using SAS - Gerhard Svolba
    Data Preparation for Analytics Using SAS
    Gerhard Svolba
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  • Biostatistics by Example Using SAS Studio - Ron Cody
    Biostatistics by Example Using SAS Studio
    Ron Cody
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  • Customer Segmentation and Clustering Using SAS Enterprise Miner, Third Edition - Randall S. Collica
    Customer Segmentation and Clustering Using SAS Enterprise Miner, Third Edition
    Randall S. Collica
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  • Data Quality for Analytics Using SAS - Gerhard Svolba
    Data Quality for Analytics Using SAS
    Gerhard Svolba
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  • JMP for Basic Univariate and Multivariate Statistics : Methods for Researchers and Social Scientists, Second Edition - PhD Ann Lehman
    JMP for Basic Univariate and Multivariate Statistics
    Methods for Researchers and Social Scientists, ...
    PhD Ann Lehman, Ph.D. Larry Hatcher and Ph.D. Edward J. Stepanski
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  • JMP Start Statistics : A Guide to Statistics and Data Analysis Using JMP, Sixth Edition - John Sall
    JMP Start Statistics
    A Guide to Statistics and Data Analysis Using J...
    John Sall, Lehman and Sheila Loring
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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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  • Preparing Data for Analysis with JMP - Robert Carver
    Preparing Data for Analysis with JMP
    Robert Carver
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  • Predictive Modeling with SAS Enterprise Miner : Practical Solutions for Business Applications, Third Edition - Kattamuri S. Sarma
    Predictive Modeling with SAS Enterprise Miner
    Practical Solutions for Business Applications, ...
    Kattamuri S. Sarma
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  • The Little SAS Enterprise Guide Book - Susan J. Slaughter
    The Little SAS Enterprise Guide Book
    Susan J. Slaughter and Lora D. Delwiche
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  • Fundamentals of Programming in SAS : A Case Studies Approach - James Blum
    Fundamentals of Programming in SAS
    A Case Studies Approach
    James Blum and Jonathan Duggins
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  • Implementing CDISC Using SAS : An End-to-End Guide, Revised Second Edition - Chris Holland
    Implementing CDISC Using SAS
    An End-to-End Guide, Revised Second Edition
    Chris Holland and Jack Shostak
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  • Design and Analysis of Experiments by Douglas Montgomery : A Supplement for Using JMP - Heath Rushing
    Design and Analysis of Experiments by Douglas Montgomery
    A Supplement for Using JMP
    Heath Rushing, Andrew Karl and James Wisnowski
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  • Building Better Models with JMP Pro - Jim Grayson
    Building Better Models with JMP Pro
    Jim Grayson, Sam Gardner and Mia Stephens
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  • SAS Programming in the Pharmaceutical Industry, Second Edition - Jack Shostak
    SAS Programming in the Pharmaceutical Industry, Second Edition
    Jack Shostak
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  • Modern Approaches to Clinical Trials Using SAS : Classical, Adaptive, and Bayesian Methods - Sandeep Menon
    Modern Approaches to Clinical Trials Using SAS
    Classical, Adaptive, and Bayesian Methods
    Sandeep Menon and Richard C. Zink
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  • Data Management and Analysis Using JMP : Health Care Case Studies - Patricia Schaffer
    Data Management and Analysis Using JMP
    Health Care Case Studies
    Patricia Schaffer and Jane E Oppenlander
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  • Strategies for Formulations Development : A Step-by-Step Guide Using JMP - Ronald Snee
    Strategies for Formulations Development
    A Step-by-Step Guide Using JMP
    Ronald Snee and Roger Hoerl
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  • Practical and Efficient SAS Programming : The Insider's Guide - Martha Messineo
    Practical and Efficient SAS Programming
    The Insider's Guide
    Martha Messineo
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  • Cody's Data Cleaning Techniques Using SAS, Third Edition - Ron Cody
    Cody's Data Cleaning Techniques Using SAS, Third Edition
    Ron Cody
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  • SAS Certification Prep Guide : Statistical Business Analysis Using SAS9 - Joni N. Shreve
    SAS Certification Prep Guide
    Statistical Business Analysis Using SAS9
    Joni N. Shreve and Donna Dea Holland
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  • SAS Certified Specialist Prep Guide : Base Programming Using SAS 9.4 - SAS Institute
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    Base Programming Using SAS 9.4
    SAS Institute
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  • Introduction to Statistics with SPSS : Routledge-Noordhoff International Editions - Ben Baarda
    Introduction to Statistics with SPSS
    Routledge-Noordhoff International Editions
    Ben Baarda, De Goede Martijn and Cor van Dijkum
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  • Computer Intensive Methods in Statistics - Silvelyn Zwanzig
    Computer Intensive Methods in Statistics
    Silvelyn Zwanzig and Behrang Mahjani
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  • R Cookbook : Proven Recipes for Data Analysis, Statistics, and Graphics - JD Long
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    JD Long and Paul Teetor
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  • Predictive Intelligence in Medicine : Second International Workshop, PRIME 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings - Islem Rekik
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    Islem Rekik, Ehsan Adeli and Sang Hyun Park
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  • R Markdown : The Definitive Guide - Yihui Xie
    R Markdown
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    Yihui Xie, J.J. Allaire and Garrett Grolemund
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  • R : Predictive Analysis - Tony Fischetti
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    Tony Fischetti, Eric Mayor and Rui Miguel Forte
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  • A MatLab® Companion to Complex Variables : Textbooks in Mathematics - A. David Wunsch
    A MatLab® Companion to Complex Variables
    Textbooks in Mathematics
    A. David Wunsch
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  • Multiple Imputation in Practice : With Examples Using IVEware - Trivellore Raghunathan
    Multiple Imputation in Practice
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    Trivellore Raghunathan, Patricia A. Berglund and Peter W. Solenberger
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  • Using R for Introductory Statistics : Chapman & Hall/CRC The R Series - John Verzani
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    Chapman & Hall/CRC The R Series
    John Verzani
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  • Experimental Mathematics with Maple : Chapman Hall/CRC Mathematics Series - Franco Vivaldi
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  • Analyzing Sensory Data with R : Chapman & Hall/CRC The R Series - Sebastien Le
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    Sebastien Le, Thierry Worch and Margot Brard
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  • Handbook of Educational Measurement and Psychometrics Using R : Chapman & Hall/CRC The R Series - Christopher D. Desjardins
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    Chapman & Hall/CRC The R Series
    Christopher D. Desjardins and Okan Bulut
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  • Programming Quantum Computers : Essential Algorithms and Code Samples - Eric R. Johnston
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    Eric R. Johnston, Nic Harrigan and Mercedes Gimeno-Segovia
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  • Ordinary Differential Equations : A Practical Guide - Bernd J. Schroers
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    Bernd J. Schroers
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  • Basics of MATLAB and Beyond - Andrew Knight
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  • Dynamic Documents with R and knitr : Chapman & Hall/CRC The R Series - Yihui Xie
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  • The Design and Statistical Analysis of Animal Experiments - Simon T. Bate
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    Simon T. Bate and Robin A. Clark
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  • Moving Boundary PDE Analysis : Biomedical Applications in R - William Schiesser
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  • Remote Sensing the Mekong - Claudia Kuenzer
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  • Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA - Elias Krainski
    Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA
    Elias Krainski, Virgilio Gómez-Rubio, Haakon Bakka, Amanda Lenzi and Daniel Simp
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  • Bayesian Hierarchical Models : With Applications Using R, Second Edition - Peter D. Congdon
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  • CRC Standard Curves and Surfaces with Mathematica : Advances in Applied Mathematics - David H. von Seggern
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  • Basics of Matrix Algebra for Statistics with R : Chapman & Hall/CRC The R Series - Nick Fieller
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  • Deep Learning Cookbook : Practical Recipes to Get Started Quickly - Douwe Osinga
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  • Introduction to Computational Genomics : A Case Studies Approach - Nello Cristianini
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