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eBooks > Non-Fiction > Computing & I.T. > Business Applications > Mathematical & Statistical Software
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  • Applied Statistics and Multivariate Data Analysis for Business and Economics : A Modern Approach Using R, SPSS, Stata, and Excel - Thomas Cleff
    Applied Statistics and Multivariate Data Analysis for Business and Economics
    A Modern Approach Using R, SPSS, Stata, and Excel
    Thomas Cleff
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  • Applications of Big Data and Machine Learning in Galaxy Formation and Evolution : Series in Astronomy and Astrophysics - Tsutomu T. Takeuchi
    Applications of Big Data and Machine Learning in Galaxy Formation and Evolution
    Series in Astronomy and Astrophysics
    Tsutomu T. Takeuchi
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  • Methodological and Applied Statistics and Demography II : SIS 2024, Short Papers, Solicited Sessions - Alessio Pollice
    Methodological and Applied Statistics and Demography II
    SIS 2024, Short Papers, Solicited Sessions
    Alessio Pollice and Paolo Mariani
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  • Statistics with Rust, Second Edition - Keiko Nakamura
    Statistics with Rust, Second Edition
    Keiko Nakamura
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  • R for Statistics - Pierre-Andre Cornillon
    R for Statistics
    Pierre-Andre Cornillon, Arnaud Guyader, Francois Husson and Nicolas Jegou
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  • Introduction to Regression Methods for Public Health Using R - Ramzi W. Nahhas
    Introduction to Regression Methods for Public Health Using R
    Ramzi W. Nahhas
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  • Research for Practical Issues and Solutions in Computerized Multistage Testing - Edited by Duanli Yan
    Research for Practical Issues and Solutions in Computerized Multistage Testing
    Edited by Duanli Yan
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  • Australian Stories
  • Multiple Correspondence Analysis and Related Methods : Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences - Michael Greenacre
    Multiple Correspondence Analysis and Related Methods
    Chapman & Hall/CRC Statistics in the Social and...
    Michael Greenacre and Jorg Blasius
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  • Numerical and Analytical Methods with MATLAB : Applied and Computational Mechanics - William Bober
    Numerical and Analytical Methods with MATLAB
    Applied and Computational Mechanics
    William Bober, Chi-Tay Tsai and Oren Masory
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  • Markov Chain Monte Carlo : Stochastic Simulation for Bayesian Inference, Second Edition - Dani Gamerman
    Markov Chain Monte Carlo
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    Dani Gamerman and Hedibert F. Lopes
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  • Handbook of Statistical Distributions with Applications : Statistics: A Series of Textbooks and Monographs - K. Krishnamoorthy
    Handbook of Statistical Distributions with Applications
    Statistics: A Series of Textbooks and Monographs
    K. Krishnamoorthy
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  • Practical Statistical Methods : A SAS Programming Approach - Lakshmi Padgett
    Practical Statistical Methods
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    Lakshmi Padgett
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  • Bayesian Ideas and Data Analysis : An Introduction for Scientists and Statisticians - Ronald Christensen
    Bayesian Ideas and Data Analysis
    An Introduction for Scientists and Statisticians
    Ronald Christensen, Wesley Johnson, Adam Branscum and Timothy E Hanson
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  • Computational Statistics Handbook with MATLAB : Chapman & Hall/CRC Computer Science & Data Analysis - Wendy L. Martinez
    Computational Statistics Handbook with MATLAB
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    Wendy L. Martinez and Angel R. Martinez
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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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  • Design and Analysis of Experiments with SAS : Chapman & Hall/CRC Texts in Statistical Science - John Lawson
    Design and Analysis of Experiments with SAS
    Chapman & Hall/CRC Texts in Statistical Science
    John Lawson
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  • Engineering Data Analysis with MATLAB® - Tanvir Mustafy
    Engineering Data Analysis with MATLAB®
    Tanvir Mustafy, Tauhid Rahman and Nafisa Siddiqui
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  • Mathematical Foundations of Computer Science - Ashwin Lall
    Mathematical Foundations of Computer Science
    Ashwin Lall
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  • Guide to Classical Physics : Using Mathematica for Calculations and Visualizations - James W. Rohlf
    Guide to Classical Physics
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    James W. Rohlf
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  • Efficient Algorithm Design : Unlock the power of algorithms to optimize computer programming - Masoud Makrehchi
    Efficient Algorithm Design
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    Masoud Makrehchi
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  • Hands-On Prescriptive Analytics : Optimizing Your Decision Making with Python - Walter R. Paczkowski
    Hands-On Prescriptive Analytics
    Optimizing Your Decision Making with Python
    Walter R. Paczkowski
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  • Exploring Complex Survey Data Analysis Using R : A Tidy Introduction with {srvyr} and {survey} - Stephanie Zimmer
    Exploring Complex Survey Data Analysis Using R
    A Tidy Introduction with {srvyr} and {survey}
    Stephanie Zimmer, Rebecca Powell and Isabella Velásquez
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  • Practical Guide to Logistic Regression - Joseph M. Hilbe
    Practical Guide to Logistic Regression
    Joseph M. Hilbe
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  • Statistics with Rust, Second Edition : Explore rust programming and its powerful crates across data science, machine learning and NLP projects - Keiko Nakamura
    Statistics with Rust, Second Edition
    Explore rust programming and its powerful crate...
    Keiko Nakamura
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  • Decision Mathematics, Statistical Learning and Data Mining : Selected Contributions from ICMSCT2023, Manila, Philippines, September 20-21 - Wan Fairos Wan Yaacob
    Decision Mathematics, Statistical Learning and Data Mining
    Selected Contributions from ICMSCT2023, Manila,...
    Wan Fairos Wan Yaacob, Yap Bee Wah and Obaid Ullah Mehmood
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  • Random Number Generators on Computers - Naoya Nakazawa
    Random Number Generators on Computers
    Naoya Nakazawa and Hiroshi Nakazawa
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  • A Not Too Short Introduction to Python : Dr. Robin's Python Lab, #1 - Robin Wang
    A Not Too Short Introduction to Python
    Dr. Robin's Python Lab, #1
    Robin Wang
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  • Computer-Aided Drug Discovery Methods : A Brief Introduction - Manos C. Vlasiou
    Computer-Aided Drug Discovery Methods
    A Brief Introduction
    Manos C. Vlasiou
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  • Collective Intelligence : The Rise of Swarm Systems and their Impact on Society - Uwe Seebacher
    Collective Intelligence
    The Rise of Swarm Systems and their Impact on S...
    Uwe Seebacher and Christoph Legat
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  • Artificial Neural Networks : Alpha Unpredictability and Chaotic Dynamics - Marat Akhmet
    Artificial Neural Networks
    Alpha Unpredictability and Chaotic Dynamics
    Marat Akhmet, Madina Tleubergenova, Akylbek Zhamanshin and Zakhira Nugayeva
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  • Elementary Numerical Mathematics for Programmers and Engineers : Mathematics and Statistics (R0) - Gisbert Stoyan
    Elementary Numerical Mathematics for Programmers and Engineers
    Mathematics and Statistics (R0)
    Gisbert Stoyan and Agnes Baran
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  • Computational Statistics : An Introduction to R - Günther Sawitzki
    Computational Statistics
    An Introduction to R
    Günther Sawitzki
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  • Statistics in MATLAB : A Primer - MoonJung Cho
    Statistics in MATLAB
    A Primer
    MoonJung Cho and Wendy L. Martinez
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  • PROC FCMP User-Defined Functions : An Introduction to the SAS Function Compiler - Troy Martin Hughes
    PROC FCMP User-Defined Functions
    An Introduction to the SAS Function Compiler
    Troy Martin Hughes
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  • PRACTICAL GUIDE TO LEARN ALGORITHMS : Master Algorithmic Problem-Solving Techniques (2024 Guide for Beginners) - MARTY TWITTY
    PRACTICAL GUIDE TO LEARN ALGORITHMS
    Master Algorithmic Problem-Solving Techniques (...
    MARTY TWITTY
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  • The Simple Guide to SAS : From Null to Novice - Kirby Thomas
    The Simple Guide to SAS
    From Null to Novice
    Kirby Thomas
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  • Adaptive Filtering Under Minimum Mean p-Power Error Criterion - Wentao Ma
    Adaptive Filtering Under Minimum Mean p-Power Error Criterion
    Wentao Ma and Badong Chen
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  • Nonparametric Statistical Methods Using R : Chapman & Hall/CRC Texts in Statistical Science - John Kloke
    Nonparametric Statistical Methods Using R
    Chapman & Hall/CRC Texts in Statistical Science
    John Kloke and Joseph McKean
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  • Cryptography Algorithms : Explore New Algorithms in Zero-knowledge, Homomorphic Encryption, and Quantum Cryptography - Massimo Bertaccini
    Cryptography Algorithms
    Explore New Algorithms in Zero-knowledge, Homom...
    Massimo Bertaccini
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  • Text and Math Into LaTeX - George Gratzer
    Text and Math Into LaTeX
    George Gratzer
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  • Applied Machine Learning Using mlr3 in R - Bernd Bischl
    Applied Machine Learning Using mlr3 in R
    Bernd Bischl, Raphael Sonabend, Lars Kotthoff and Michel Lang
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    $148.49
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  • WAIC and WBIC with Python Stan : 100 Exercises for Building Logic - Joe Suzuki
    WAIC and WBIC with Python Stan
    100 Exercises for Building Logic
    Joe Suzuki
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  • Artificial Intelligence and Multimedia Data Engineering : Volume 1 - Suman Kumar Swarnkar
    Artificial Intelligence and Multimedia Data Engineering
    Volume 1
    Suman Kumar Swarnkar, Sapna Singh Kshatri, Virendra Kumar Swarnkar and Tien Anh Tran
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  • Python Machine Learning By Example : Unlock machine learning best practices with real-world use cases - Yuxi (Hayden) Liu
    Python Machine Learning By Example
    Unlock machine learning best practices with rea...
    Yuxi (Hayden) Liu
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  • Statistical Tableau : How to Use Statistical Models and Decision Science in Tableau - Ethan Lang
    Statistical Tableau
    How to Use Statistical Models and Decision Scie...
    Ethan Lang
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  • Machine Learning, Animated : Chapman & Hall/CRC Machine Learning & Pattern Recognition - Mark Liu
    Machine Learning, Animated
    Chapman & Hall/CRC Machine Learning & Pattern R...
    Mark Liu
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  • How to Solve Real-world Optimization Problems : From Theory to Practice - Eugene J. Zak
    How to Solve Real-world Optimization Problems
    From Theory to Practice
    Eugene J. Zak
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  • Matrix Algebra : Theory, Computations and Applications in Statistics - James E. Gentle
    Matrix Algebra
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    James E. Gentle
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  • Learn R : As a Language - Pedro J. Aphalo
    Learn R
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    Pedro J. Aphalo
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  • Data Science Fundamentals with R, Python, and Open Data - Marco Cremonini
    Data Science Fundamentals with R, Python, and Open Data
    Marco Cremonini
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  • Statistical Analysis with R Essentials For Dummies - Joseph Schmuller
    Statistical Analysis with R Essentials For Dummies
    Joseph Schmuller
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  • Incentive Mechanism for Mobile Crowdsensing : A Game-theoretic Approach - Youqi Li
    Incentive Mechanism for Mobile Crowdsensing
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    Youqi Li, Fan Li, Song Yang and Chuan Zhang
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  • Sustainable Statistical and Data Science Methods and Practices : Reports from LISA 2020 Global Network, Ghana, 2022 - O. Olawale Awe
    Sustainable Statistical and Data Science Methods and Practices
    Reports from LISA 2020 Global Network, Ghana, 2022
    O. Olawale Awe and Eric A. Vance
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  • Statistics and Data Analysis for Engineers and Scientists : Intelligent Technologies and Robotics (R0) - Tanvir Mustafy
    Statistics and Data Analysis for Engineers and Scientists
    Intelligent Technologies and Robotics (R0)
    Tanvir Mustafy and Md. Tauhid Ur Rahman
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  • Introduction to Data Science : Data Wrangling and Visualization with R - Rafael A. Irizarry
    Introduction to Data Science
    Data Wrangling and Visualization with R
    Rafael A. Irizarry
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  • Hierarchical Archimedean Copulas : Mathematics and Statistics (R0) - Jan Górecki
    Hierarchical Archimedean Copulas
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    Jan Górecki and Ostap Okhrin
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  • R语言计量金融初学指南 : Chinese Edition - Posts & Telecom Press
    R语言计量金融初学指南
    Chinese Edition
    Posts & Telecom Press
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  • Applied Medical Statistics Using SAS - Geoff Der
    Applied Medical Statistics Using SAS
    Geoff Der and Brian S. Everitt
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  • Matrix Structural Analysis and the Finite Element Methods Using Scilab and Octave : A Problem-Solving Approach - Bedilu Habte
    Matrix Structural Analysis and the Finite Element Methods Using Scilab and Octave
    A Problem-Solving Approach
    Bedilu Habte
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  • Skew-Normal Model Theories and Their Applications - Rendao Ye
    Skew-Normal Model Theories and Their Applications
    Rendao Ye, Wenyan Zhu, Yue Qi and Kun Luo
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  • Data Science : A First Introduction with Python - Tiffany Timbers
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    Tiffany Timbers, Trevor Campbell, Melissa Lee, Joel Ostblom and Lindsey Heagy
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  • R Programming : Statistical Data Analysis in Research - Kingsley Okoye
    R Programming
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    Kingsley Okoye and Samira Hosseini
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  • Developments in Statistical Modelling : Springer Nature Proceedings excluding Computer Science - Jochen Einbeck
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    Jochen Einbeck, Hyeyoung Maeng, Emmanuel Ogundimu and Konstantinos Perrakis
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  • Mimetic Discretization Methods - Jose E. Castillo
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    Jose E. Castillo and Guillermo F. Miranda
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  • Producing High-Quality Figures Using SAS/GRAPH and ODS Graphics Procedures - Charlie Chunhua Liu
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  • Temporal Data Mining - Theophano Mitsa
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  • Joint Models for Longitudinal and Time-to-Event Data : With Applications in R - Dimitris Rizopoulos
    Joint Models for Longitudinal and Time-to-Event Data
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  • Audit Analytics : Data Science for the Accounting Profession - J. Christopher Westland
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  • Principles of Psychological Assessment : With Applied Examples in R - Isaac T. Petersen
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  • Bayesian Analysis with Python : A practical guide to probabilistic modeling - Osvaldo Martin
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    A practical guide to probabilistic modeling
    Osvaldo Martin
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  • Bayesian Data Analysis : Chapman & Hall/CRC Texts in Statistical Science - Andrew Gelman
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  • The Digital Renaissance : Tracing the Evolution of Computers and Technology - Anu Joseph
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  • Trajectory Optimization and Guidance Methods for Mars Entry : Engineering (R0) - Shuang Li
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    Shuang Li, Xu Liu, Xiu-qiang Jiang and Yu-ming Peng
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  • IBM SPSS Statistics 29 Step by Step : A Simple Guide and Reference - Darren George
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  • Excel 2024 : Mastering Charts, Functions, Formula and Pivot Table in Excel 2024 as a Beginner with Step by Step GuideMastering Charts, Functions, Formula and Pivot Table in Excel 2024 as a Beginner with Step by Step Guide - Thomas Reynolds
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  • Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers : 14th International Workshop, STACOM 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Revised Selected Papers - Oscar Camara
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  • Diffusion Under Confinement : A Journey Through Counterintuition - Leonardo Dagdug
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