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eBooks > Non-Fiction > Computing & I.T. > Business Applications > Mathematical & Statistical Software
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  • Beginning R 4 : From Beginner to Pro - Matt Wiley
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    Matt Wiley and Joshua F. Wiley
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    Edward Curry
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  • Numerical Semigroups : IMNS 2018 - Valentina Barucci
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    Valentina Barucci, Scott Chapman, Marco D'Anna and Ralf Fröberg
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  • Applied Structural Equation Modeling using AMOS : Basic to Advanced Techniques - Joel E. Collier
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    Joel E. Collier
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  • Practical R 4 : Applying R to Data Manipulation, Processing and Integration - Jon Westfall
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  • Stochastic Models in Reliability Engineering : Advanced Research in Reliability and System Assurance Engineering - Ilia Frenkel
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    Ilia Frenkel, Anatoly Lisnianski and Lirong Cui
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  • A First Course in Statistical Inference : Mathematics and Statistics (R0) - Jonathan Gillard
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    Jonathan Gillard
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    Ryan Sleeper
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  • Understanding Regression Analysis : A Conditional Distribution Approach - Peter H. Westfall
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  • Reproducible Research with R and RStudio : Chapman & Hall/CRC The R Series - Christopher Gandrud
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    Christopher Gandrud
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  • Time Series Analysis Using SAS Enterprise Guide : Mathematics and Statistics (R0) - Timina Liu
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  • Monte Carlo Methods : Mathematics and Statistics (R0) - Adrian Barbu
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    Adrian Barbu and Song-Chun Zhu
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  • Intelligence at the Edge : Using SAS with the Internet of Things - Michael Harvey
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    Michael Harvey
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  • Applications of Machine Learning : Engineering (R0) - Prashant Johri
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    Prashant Johri, Jitendra Kumar Verma and Sudip Paul
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  • Advanced Computing Technologies and Applications : Proceedings of 2nd International Conference on Advanced Computing Technologies and Applications—ICACTA 2020 - Hari Vasudevan
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    Hari Vasudevan, Antonis Michalas, Narendra Shekokar and Meera Narvekar
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  • JMP Essentials : An Illustrated Guide for New Users, Third Edition - Curt Hinrichs
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    Curt Hinrichs, Chuck Boiler and Susan Walsh
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  • Excel 2019 for Biological and Life Sciences Statistics : A Guide to Solving Practical Problems - Thomas J. Quirk
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  • Practical Numerical and Scientific Computing with MATLAB® and Python - Eihab B. M. Bashier
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    Eihab B. M. Bashier
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  • Hands-On Mathematics for Deep Learning : Build a solid mathematical foundation for training efficient deep neural networks - Jay Dawani
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  • Statistics Using Stata : An Integrative Approach - Sharon Lawner Weinberg
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    Sharon Lawner Weinberg and Sarah Knapp Abramowitz
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  • Computer Networks : 27th International Conference, CN 2020, Gda?sk, Poland, June 23-24, 2020, Proceedings - Piotr Gaj
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    Piotr Gaj, Wojciech Gumi?ski and Andrzej Kwiecie?
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  • Applied Meta-Analysis with R and Stata : Chapman & Hall/CRC Biostatistics Series - Ding-Geng (Din) Chen
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    Ding-Geng (Din) Chen and Karl E. Peace
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  • Advanced Mathematical Modeling with Technology : Advances in Applied Mathematics - William P. Fox
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    Advances in Applied Mathematics
    William P. Fox and Robert E. Burks
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  • Festschrift in Honor of R. Dennis Cook : Fifty Years of Contribution to Statistical Science - Efstathia Bura
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    Fifty Years of Contribution to Statistical Science
    Efstathia Bura and Bing Li
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  • Mastering Shiny - Hadley Wickham
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    Hadley Wickham
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  • Stock Price Analysis Through Statistical And Data Science Tools : an Overview - Vinaitheerthan Renganathan
    Stock Price Analysis Through Statistical And Data Science Tools
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    Vinaitheerthan Renganathan
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  • The Essentials of Machine Learning in Finance and Accounting : Routledge Advanced Texts in Economics and Finance - Mohammad Zoynul Abedin
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    Routledge Advanced Texts in Economics and Finance
    Mohammad Zoynul Abedin
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  • Python Programming for Data Analysis : Engineering (R0) - José Unpingco
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    José Unpingco
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  • Networks of Networks in Biology : Concepts, Tools and Applications - Narsis A. Kiani
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    Narsis A. Kiani, David Gomez-Cabrero and Ginestra Bianconi
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  • Advanced Sampling Methods : Mathematics and Statistics (R0) - Raosaheb Latpate
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    Raosaheb Latpate, Jayant Kshirsagar, Vinod Kumar Gupta and Girish Chandra
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  • Signal Detection for Medical Scientists : Likelihood Ratio Test-based Methodology - Ram Tiwari
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    Ram Tiwari, Jyoti Zalkikar and Lan Huang
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  • Cryptography Algorithms : A guide to algorithms in blockchain, quantum cryptography, zero-knowledge protocols, and homomorphic encryption - Massimo Bertaccini
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    Massimo Bertaccini
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  • Luminescence : Data Analysis and Modeling Using R - Vasilis Pagonis
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    Vasilis Pagonis
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  • Gini Inequality Index : Methods and Applications - Nitis Mukhopadhyay
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    Nitis Mukhopadhyay and Partha Pratim Sengupta
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  • A Course on Small Area Estimation and Mixed Models : Methods, Theory and Applications in R - Domingo Morales
    A Course on Small Area Estimation and Mixed Models
    Methods, Theory and Applications in R
    Domingo Morales, María Dolores Esteban, Agustín Pérez and TomᚠHobza
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  • Resource Management and Performance Analysis of Wireless Communication Networks : Computer Science (R0) - Shunfu Jin
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    Computer Science (R0)
    Shunfu Jin and Wuyi Yue
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  • Statistical Trend Analysis of Physically Unclonable Functions : An Approach via Text Mining - Behrouz Zolfaghari
    Statistical Trend Analysis of Physically Unclonable Functions
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    Behrouz Zolfaghari, Khodakhast Bibak, Takeshi Koshiba, Hamid R. Nemati and Pinaki Mitra
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  • Business Intelligence : an Overview - Vinaitheerthan Renganathan
    Business Intelligence
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    Vinaitheerthan Renganathan
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  • Modern Data Science with R : Chapman & Hall/CRC Texts in Statistical Science - Benjamin S. Baumer
    Modern Data Science with R
    Chapman & Hall/CRC Texts in Statistical Science
    Benjamin S. Baumer, Daniel T. Kaplan and Nicholas J. Horton
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  • Information Technologies and Mathematical Modelling. Queueing Theory and Applications : 19th International Conference, ITMM 2020, Named after A.F. Terpugov, Tomsk, Russia, December 2-5, 2020, Revised Selected Papers - Alexander Dudin
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    Alexander Dudin, Anatoly Nazarov and Alexander Moiseev
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  • Advancing into Analytics - George Mount
    Advancing into Analytics
    George Mount
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  • Higher Education 4.0 : The Digital Transformation of Classroom Lectures to Blended Learning - Kevin Anthony Jones
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    Kevin Anthony Jones and Sharma Ravishankar
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  • Linear Models with Python : Chapman & Hall/CRC Texts in Statistical Science - Julian J. Faraway
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    Julian J. Faraway
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  • Information Security and Cryptology - ICISC 2020 : 23rd International Conference, Seoul, South Korea, December 2-4, 2020, Proceedings - Deukjo Hong
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    23rd International Conference, Seoul, South Kor...
    Deukjo Hong
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  • Discrete Structure and Automata Theory for Learners : Learn Discrete Structure Concepts and Automata Theory with JFLAP - Ms. Sukhpreet Kaur Gill
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  • Foundations of Average-Cost Nonhomogeneous Controlled Markov Chains : Intelligent Technologies and Robotics (R0) - Xi-Ren Cao
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    Xi-Ren Cao
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  • Multiple Imputation of Missing Data Using SAS - Patricia Berglund
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    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
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    Richard C. Zink
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  • JMP 12 Consumer Research - SAS Institute
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  • JMP 12 JSL Syntax Reference - SAS Institute
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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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  • Market Data Analysis Using JMP - Walter R. Paczkowski
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    Using JMP 12
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    Ian Cox and Marie Gaudard
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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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    Classical, Adaptive, and Bayesian Methods
    Sandeep Menon
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  • JMP for Basic Univariate and Multivariate Statistics : Methods for Researchers and Social Scientists - PhD Ann Lehman
    JMP for Basic Univariate and Multivariate Statistics
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    PhD Ann Lehman, Ph.D. Larry Hatcher and Ph.D. Edward J. Stepanski
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  • Biostatistics by Example Using SAS Studio - Ron Cody
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    Ron Cody
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  • Categorical Data Analysis Using SAS - Maura E. Stokes
    Categorical Data Analysis Using SAS
    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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    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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    Heath Rushing, Andrew Karl and James Wisnowski
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  • Carpenter's Guide to Innovative SAS Techniques - Art Carpenter
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    Art Carpenter
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    Art Carpenter
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