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  • Theoretical Ecology : Concepts and Models with R - Ryan Chisholm
    Theoretical Ecology
    Concepts and Models with R
    Ryan Chisholm
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  • The Book of R : A First Course in Programming and Statistics - Tilman M. Davies
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    Tilman M. Davies
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  • Strategies for Peace and Prosperity - Shui Yin Lo
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  • New Trends in Functional Statistics and Related Fields
    New Trends in Functional Statistics and Related Fields
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  • Deep Learning with R, Third Edition - François Chollet
    Deep Learning with R, Third Edition
    François Chollet and Tomasz Kalinowski
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  • Computer Vision in Healthcare : Prediction, Detection and Diagnosis - Saurav Mallik
    Computer Vision in Healthcare
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    Saurav Mallik, Sandeep Kumar Mathivanan, Prabhu Jayagopal, Hong Qin and Ben Othman Soufiene
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    Samia Challal
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  • Modern Time Series with R : Practical forecasting and causal inference with tidy, reproducible workflows - Yeasmin Khandakar
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    Yeasmin Khandakar and Roman Ahmed
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  • Mathematical Foundations of Artificial Intelligence : Basics of Manifold Theory - Momiao Xiong
    Mathematical Foundations of Artificial Intelligence
    Basics of Manifold Theory
    Momiao Xiong
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  • BiteSize Python for Intermediate Learners : With Practice Labs, Real-World Examples, and ChatGPT - Di Wu
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    Di Wu
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  • Spatial Data Analysis in Ecology and Agriculture Using R - Richard E. Plant
    Spatial Data Analysis in Ecology and Agriculture Using R
    Richard E. Plant
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  • Time Series : A Data Analysis Approach Using R - Robert H. Shumway
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    Robert H. Shumway and David S. Stoffer
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  • Applied Statistics with Python : Volume II: Multivariate Models - Leon Kaganovskiy
    Applied Statistics with Python
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    Leon Kaganovskiy
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  • Statistics and Data Handling for Biologists : A Student's Guide - Neil Millar
    Statistics and Data Handling for Biologists
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    Neil Millar
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  • Statistical Rethinking : 2nd Edition - A Bayesian Course with Examples in R and STAN - Richard McElreath
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    Richard McElreath
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  • Data Science, Classification, and Artificial Intelligence for Modeling Decision Making - Javier Trejos
    Data Science, Classification, and Artificial Intelligence for Modeling Decision Making
    Javier Trejos
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  • Introduction to Theory of Computation - Bikash Kanti Sarkar; Ambuj Kumar
    Introduction to Theory of Computation
    Bikash Kanti Sarkar; Ambuj Kumar
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  • Graph Theory for Computer Science - Manikandan Rajagopal
    Graph Theory for Computer Science
    Manikandan Rajagopal, Ramkumar Sivasakthivel, Joseph Varghese Kureethara, Niranjanamurthy M. and Biswadip Basu Mallik
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  • Handbook of Heuristics : Reference Module Computer Science and Engineering - Rafael Martí
    Handbook of Heuristics
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    Rafael Martí, Panos M. Pardalos and Mauricio G.C. Resende
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  • Ideals, Varieties, and Algorithms : An Introduction to Computational Algebraic Geometry and Commutative Algebra - David A. Cox
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    David A. Cox, John Little and Donal O'Shea
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  • Prompting Causal Events : Artificial Intelligence (R0) - Jordi Vallverdú
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    Jordi Vallverdú
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  • Data Science and Machine Learning : Mathematical and Statistical Methods, Second Edition - Zdravko Botev
    Data Science and Machine Learning
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    Zdravko Botev, Dirk P. Kroese and Thomas Taimre
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  • Data Science and Big Data Analytics : Discovering, Analyzing, Visualizing and Presenting Data - EMC Education Services
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    EMC Education Services
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  • Data Points : Visualization That Means Something - Nathan Yau
    Data Points
    Visualization That Means Something
    Nathan Yau
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  • Tableau Your Data! : Fast and Easy Visual Analysis with Tableau Software - Daniel G. Murray
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    Daniel G. Murray
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  • R Projects For Dummies - Joseph Schmuller
    R Projects For Dummies
    Joseph Schmuller
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  • Base SAS Interview Questions You'll Most Likely Be Asked : Job Interview Questions Series - Vibrant Publishers
    Base SAS Interview Questions You'll Most Likely Be Asked
    Job Interview Questions Series
    Vibrant Publishers
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  • Advanced SAS Interview Questions You'll Most Likely Be Asked : Job Interview Questions Series - Vibrant Publishers
    Advanced SAS Interview Questions You'll Most Likely Be Asked
    Job Interview Questions Series
    Vibrant Publishers
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  • Statistical Analysis with R For Dummies - Joseph Schmuller
    Statistical Analysis with R For Dummies
    Joseph Schmuller
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  • Visualizing Financial Data - Julie Rodriguez
    Visualizing Financial Data
    Julie Rodriguez and Piotr Kaczmarek
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  • A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R - Samuel E. Buttrey
    A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R
    Samuel E. Buttrey and Lyn R. Whitaker
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    $101.19
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  • SAS Programming Guidelines Interview Questions You'll Most Likely Be Asked : Job Interview Questions Series - Vibrant Publishers
    SAS Programming Guidelines Interview Questions You'll Most Likely Be Asked
    Job Interview Questions Series
    Vibrant Publishers
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  • Ecological Models and Data in R - Benjamin M. Bolker
    Ecological Models and Data in R
    Benjamin M. Bolker
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  • A Survey of Computational Physics : Introductory Computational Science - José Páez
    A Survey of Computational Physics
    Introductory Computational Science
    José Páez, Cristian C. Bordeianu and Rubin Landau
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  • Engineering with Mathcad : Using Mathcad to Create and Organize your Engineering Calculations - Brent Maxfield
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    Using Mathcad to Create and Organize your Engin...
    Brent Maxfield
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  • MATLAB for Neuroscientists : An Introduction to Scientific Computing in MATLAB - Pascal Wallisch
    MATLAB for Neuroscientists
    An Introduction to Scientific Computing in MATLAB
    Pascal Wallisch, Michael E. Lusignan, Marc D. Benayoun, Tanya I. Baker and Nicholas G. Hatsopoulos
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  • Traveling Wave Analysis of Partial Differential Equations : Numerical and Analytical Methods with Matlab and Maple - Graham Griffiths
    Traveling Wave Analysis of Partial Differential Equations
    Numerical and Analytical Methods with Matlab an...
    Graham Griffiths and William E. Schiesser
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  • Matlab : A Practical Introduction to Programming and Problem Solving - Stormy Attaway
    Matlab
    A Practical Introduction to Programming and Pro...
    Stormy Attaway
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  • Environmental Data Analysis with MatLab - William Menke
    Environmental Data Analysis with MatLab
    William Menke
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  • R for SAS and SPSS Users : Implementation and Applications - Robert A. Muenchen
    R for SAS and SPSS Users
    Implementation and Applications
    Robert A. Muenchen
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  • Statistical Modeling and Analysis for Complex Data Problems - Pierre Duchesne
    Statistical Modeling and Analysis for Complex Data Problems
    Pierre Duchesne and ?Bruno Rémillard
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  • Algorithmic Learning in a Random World - Vladimir Vovk
    Algorithmic Learning in a Random World
    Vladimir Vovk, Alex Gammerman and Glenn Shafer
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  • Modern Portfolio Optimization with NuOPT™, S-PLUS®, and S+Bayes™ - Bernd Scherer
    Modern Portfolio Optimization with NuOPT™, S-PLUS®, and S+Bayes™
    Bernd Scherer and R. Douglas Martin
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  • Statistical and Inductive Inference by Minimum Message Length - C. S. Wallace
    Statistical and Inductive Inference by Minimum Message Length
    C. S. Wallace
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  • Developing Statistical Software in Fortran 95 - David R. Lemmon
    Developing Statistical Software in Fortran 95
    David R. Lemmon and Joseph L. Schafer
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  • The Basics of S-PLUS - Andreas Krause
    The Basics of S-PLUS
    Andreas Krause and Melvin Olson
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  • S+Functional Data Analysis : User's Manual for Windows ® - Douglas B. Clarkson
    S+Functional Data Analysis
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    Douglas B. Clarkson, Chris Fraley, Charles Gu and James Ramsay
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  • The Grammar of Graphics - Leland Wilkinson
    The Grammar of Graphics
    Leland Wilkinson
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  • Branch-and-Bound Applications in Combinatorial Data Analysis - Michael J. Brusco
    Branch-and-Bound Applications in Combinatorial Data Analysis
    Michael J. Brusco and Stephanie Stahl
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  • The Mathematica GuideBook for Symbolics : with 848 illustrations - Michael Trott
    The Mathematica GuideBook for Symbolics
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    Michael Trott
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  • Modern Multidimensional Scaling : Theory and Applications - I. Borg
    Modern Multidimensional Scaling
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    I. Borg and P. J. F. Groenen
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  • Space, Structure and Randomness : Contributions in Honor of Georges Matheron in the Fields of Geostatistics, Random Sets and Mathematical Morphology - Michel Bilodeau
    Space, Structure and Randomness
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    Michel Bilodeau, ?Fernand Meyer and ?Michel Schmitt
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  • Markov Chains : Models, Algorithms and Applications - Wai-Ki Ching
    Markov Chains
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    Wai-Ki Ching and Michael K. Ng
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  • Global Optimization : From Theory to Implementation - Leo Liberti
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    Leo Liberti and ?Nelson Maculan
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  • Sampling Methods : Exercises and Solutions - Pascal Ardilly
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    Pascal Ardilly and Yves Tillé
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  • Modeling Financial Time Series with S-PLUS® - Eric Zivot
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    Eric Zivot and Jiahui Wang
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    Yves Tillé
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  • Finite Mixture and Markov Switching Models : Modeling and Applications to Random Processes - Sylvia Frühwirth-Schnatter
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    Sylvia Frühwirth-Schnatter
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  • Nonparametric Functional Data Analysis : Theory and Practice - Frédéric Ferraty
    Nonparametric Functional Data Analysis
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    Frédéric Ferraty and Philippe Vieu
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  • Graphics of Large Datasets : Visualizing a Million - Antony Unwin
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    Antony Unwin, Martin Theus and Heike Hofmann
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  • Nonlinear Dimensionality Reduction - John A. Lee
    Nonlinear Dimensionality Reduction
    John A. Lee and Michel Verleysen
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  • Optical Scanning Holography with MATLAB® - Ting-Chung Poon
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    Ting-Chung Poon
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  • More Math Into LaTeX - George Grätzer
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    George Grätzer
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  • Interactive and Dynamic Graphics for Data Analysis : With R and GGobi - Dianne Cook
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  • Information Criteria and Statistical Modeling - Sadanori Konishi
    Information Criteria and Statistical Modeling
    Sadanori Konishi and Genshiro Kitagawa
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  • Bayesian Networks and Influence Diagrams : A Guide to Construction and Analysis - Uffe B. Kjærulff
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    Uffe B. Kjærulff and Anders L. Madsen
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  • Advances in Applied Mathematics and Global Optimization : In Honor of Gilbert Strang - David Y. Gao
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    David Y. Gao and Hanif D. Sherali
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  • Simulation and Inference for Stochastic Differential Equations : With R Examples - Stefano M. Iacus
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  • Analysis of Integrated and Cointegrated Time Series with R - Bernhard Pfaff
    Analysis of Integrated and Cointegrated Time Series with R
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  • Lattice : Multivariate Data Visualization with R - Deepayan Sarkar
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  • One Jump Ahead : Computer Perfection at Checkers - Jonathan Schaeffer
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  • SAS for Data Analysis : Intermediate Statistical Methods - Mervyn G. Marasinghe
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    Mervyn G. Marasinghe and William J. Kennedy
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  • Modern Multivariate Statistical Techniques : Regression, Classification, and Manifold Learning - Alan J. Izenman
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  • Mixed Effects Models and Extensions in Ecology with R : Biomedical and Life Sciences (R0) - Alain Zuur
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    Alain Zuur, Elena N. Ieno, Neil Walker, Anatoly A. Saveliev and Graham M. Smith
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  • Analog Filters using MATLAB - Lars Wanhammar
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  • Principles and Theory for Data Mining and Machine Learning - Bertrand Clarke
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    Bertrand Clarke, Ernest Fokoue and Hao Helen Zhang
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