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  • Chapman & Hall/CRC Texts in Statistical Science : Chapman & Hall/Crc Texts in Statistical Science - Patrick Brown
    Chapman & Hall/CRC Texts in Statistical Science
    Chapman & Hall/Crc Texts in Statistical Science
    Patrick Brown
    Hardcover
    January 2027 Release
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  • Stationary Processes and Discrete Parameter Markov Processes : Graduate Texts in Mathematics
    Stationary Processes and Discrete Parameter Markov Processes
    Graduate Texts in Mathematics
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  • Learning Predictive Analytics with Python - Ashish Kumar
    Learning Predictive Analytics with Python
    Ashish Kumar
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    RStudio for R Statistical Computing Cookbook
    Andrea Cirillo
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  • Open Source Software for Statistical Analysis of Big Data : Emerging Research and Opportunities - Gao Niu
    Open Source Software for Statistical Analysis of Big Data
    Emerging Research and Opportunities
    Gao Niu and Richard S. Segall
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  • Failure At N=80 : Recreational Number Theory for the Reckless - Jason Earls
    Failure At N=80
    Recreational Number Theory for the Reckless
    Jason Earls
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  • Studies in Theoretical and Applied Statistics : SIS 2021, Pisa, Italy, June 21-25 - Nicola Salvati
    Studies in Theoretical and Applied Statistics
    SIS 2021, Pisa, Italy, June 21-25
    Nicola Salvati, Cira Perna and Stefano Marchetti
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  • Optimal Surface Fitting of Point Clouds Using Local Refinement : Application to GIS Data - Gaël Kermarrec
    Optimal Surface Fitting of Point Clouds Using Local Refinement
    Application to GIS Data
    Gaël Kermarrec, Vibeke Skytt and Tor Dokken
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  • Applied Numerical Analysis with MATLAB®/Simulink® : For Engineers and Scientists - Farzin Asadi
    Applied Numerical Analysis with MATLAB®/Simulink®
    For Engineers and Scientists
    Farzin Asadi
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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 and Trevor Hastie
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  • Modern Applied Statistics with S-PLUS - W.N. Venables
    Modern Applied Statistics with S-PLUS
    W.N. Venables and B.D. Ripley
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  • A Gentle Introduction to Group Theory - Bana Al Subaiei
    A Gentle Introduction to Group Theory
    Bana Al Subaiei and Muneerah Al Nuwairan
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  • Essentials of Excel VBA, Python, and R : Volume I: Financial Statistics and Portfolio Analysis - John Lee
    Essentials of Excel VBA, Python, and R
    Volume I: Financial Statistics and Portfolio An...
    John Lee and Cheng-Few Lee
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  • Bayesian Statistical Modeling with Stan, R, and Python - Kentaro Matsuura
    Bayesian Statistical Modeling with Stan, R, and Python
    Kentaro Matsuura
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  • Practicing R for Statistical Computing - Muhammad Aslam
    Practicing R for Statistical Computing
    Muhammad Aslam and Muhammad Imdad Ullah
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  • Getting Started in Mathematical Life Sciences : From MATLAB Programming to Computer Simulations - Makoto Sato
    Getting Started in Mathematical Life Sciences
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    Makoto Sato
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  • Measurement, Mathematics and New Quantification Theory - Shizuhiko Nishisato
    Measurement, Mathematics and New Quantification Theory
    Shizuhiko Nishisato
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  • Monte Carlo Methods in Bayesian Computation - Ming-Hui Chen
    Monte Carlo Methods in Bayesian Computation
    Ming-Hui Chen, Qi-Man Shao and Joseph G. Ibrahim
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  • Advances in Artificial Intelligence - IBERAMIA 2022 : 17th Ibero-American Conference on AI, Cartagena de Indias, Colombia, November 23-25, 2022, Procee - Ana Cristina Bicharra Garcia
    Advances in Artificial Intelligence - IBERAMIA 2022
    17th Ibero-American Conference on AI, Cartagena...
    Ana Cristina Bicharra Garcia, Mariza Ferro and Julio Cesar Rodríguez Ribón
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