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  • All eBooks (1981)
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  • Generalized Kernel Equating with Applications in R : Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences - Marie Wiberg
    Generalized Kernel Equating with Applications in R
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    Marie Wiberg, Jorge Gonzalez and Alina A. von Davier
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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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  • Analysis of Questionnaire Data with R - Bruno Falissard
    Analysis of Questionnaire Data with R
    Bruno Falissard
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  • Statistical Learning Tools for Electricity Load Forecasting : Mathematics and Statistics (R0) - Anestis Antoniadis
    Statistical Learning Tools for Electricity Load Forecasting
    Mathematics and Statistics (R0)
    Anestis Antoniadis, Jairo Cugliari, Matteo Fasiolo, Yannig Goude and Jean-Michel Poggi
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  • Introduction to Python for Science and Engineering : Series in Computational Biophysics - David J. Pine
    Introduction to Python for Science and Engineering
    Series in Computational Biophysics
    David J. Pine
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  • R Programming Unlocked : Easy Learning - Md. Sifat Hossain
    R Programming Unlocked
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    Md. Sifat Hossain and Dr. Provash Kumar Karmokar
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  • A Hands-on Introduction to Big Data Analytics - Funmi Obembe
    A Hands-on Introduction to Big Data Analytics
    Funmi Obembe
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  • Financial Data Science with SAS - Babatunde O Odusami
    Financial Data Science with SAS
    Babatunde O Odusami
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  • Randomization Tests : Statistics: A Series of Textbooks and Monographs - Eugene Edgington
    Randomization Tests
    Statistics: A Series of Textbooks and Monographs
    Eugene Edgington and Patrick Onghena
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  • Data Visualization : A Practical Introduction - Kieran Healy
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    Kieran Healy
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  • Data Visualization with Microsoft Power BI : How to Design Savvy Dashboards - Alex Kolokolov
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    Alex Kolokolov and Maxim Zelensky
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  • PRACTICAL GUIDE TO LEARN ALGORITHMS : Master Algorithmic Problem-Solving Techniques (2024 Guide for Beginners) - MARTY TWITTY
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    MARTY TWITTY
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  • The Simple Guide to SAS : From Null to Novice - Kirby Thomas
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    Kirby Thomas
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  • Adaptive Filtering Under Minimum Mean p-Power Error Criterion - Wentao Ma
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    Wentao Ma and Badong Chen
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  • Bayesian Programming : Chapman & Hall/CRC Machine Learning & Pattern Recognition - Pierre Bessiere
    Bayesian Programming
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    Pierre Bessiere, Emmanuel Mazer, Juan Ahuactzin and Kamel Mekhnacha
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  • Causality for Artificial Intelligence : From a Philosophical Perspective - Jordi Vallverdú
    Causality for Artificial Intelligence
    From a Philosophical Perspective
    Jordi Vallverdú
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  • Smart Medical Imaging for Diagnosis and Treatment Planning - Nilanjan Dey
    Smart Medical Imaging for Diagnosis and Treatment Planning
    Nilanjan Dey, Bitan Misra and Sayan Chakraborty
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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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  • Introduction to Numerical and Analytical Methods with MATLAB for Engineers and Scientists - William Bober
    Introduction to Numerical and Analytical Methods with MATLAB for Engineers and Scientists
    William Bober
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  • Statistics Applied with the R Commander : Data Analysis Is (Not) an Art - Franz Kronthaler
    Statistics Applied with the R Commander
    Data Analysis Is (Not) an Art
    Franz Kronthaler
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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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  • 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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  • MATLAB Primer - Timothy A. Davis
    MATLAB Primer
    Timothy A. Davis
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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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  • Statistical Tableau : How to Use Statistical Models and Decision Science in Tableau - Ethan Lang
    Statistical Tableau
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    Ethan Lang
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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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  • 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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  • 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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  • 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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  • Hierarchical Archimedean Copulas : Mathematics and Statistics (R0) - Jan Górecki
    Hierarchical Archimedean Copulas
    Mathematics and Statistics (R0)
    Jan Górecki and Ostap Okhrin
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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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  • 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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  • 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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  • How to Use SPSS® : A Step-By-Step Guide to Analysis and Interpretation - Brian C. Cronk
    How to Use SPSS®
    A Step-By-Step Guide to Analysis and Interpreta...
    Brian C. Cronk
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    $138.75
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  • Machine Learning Methods : Computer Science (R0) - Hang Li
    Machine Learning Methods
    Computer Science (R0)
    Hang Li, Lu Lin and Huanqiang Zeng
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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
    With Applications in R
    Dimitris Rizopoulos
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  • Bayesian Data Analysis : Chapman & Hall/CRC Texts in Statistical Science - Andrew Gelman
    Bayesian Data Analysis
    Chapman & Hall/CRC Texts in Statistical Science
    Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson and Donald B. Rubin
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  • The Digital Renaissance : Tracing the Evolution of Computers and Technology - Anu Joseph
    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
    Trajectory Optimization and Guidance Methods for Mars Entry
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    Shuang Li, Xu Liu, Xiu-qiang Jiang and Yu-ming Peng
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  • Bayesian Analysis with Python : A practical guide to probabilistic modeling - Osvaldo Martin
    Bayesian Analysis with Python
    A practical guide to probabilistic modeling
    Osvaldo Martin
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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
    Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers
    14th International Workshop, STACOM 2023, Held ...
    Oscar Camara, Esther Puyol-Antón, Maxime Sermesant, Avan Suinesiaputra and Alistair Young
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  • Diffusion Under Confinement : A Journey Through Counterintuition - Leonardo Dagdug
    Diffusion Under Confinement
    A Journey Through Counterintuition
    Leonardo Dagdug, Jason Peña and Ivan Pompa-García
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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
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    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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  • Incentive Mechanism for Mobile Crowdsensing : A Game-theoretic Approach - Youqi Li
    Incentive Mechanism for Mobile Crowdsensing
    A Game-theoretic Approach
    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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  • Machine Learning, Animated : Chapman & Hall/CRC Machine Learning & Pattern Recognition - Mark Liu
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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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  • 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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  • R语言计量金融初学指南 : Chinese Edition - Posts & Telecom Press
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  • Python Machine Learning By Example : Unlock machine learning best practices with real-world use cases - Yuxi (Hayden) Liu
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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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  • Learn R : As a Language - Pedro J. Aphalo
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  • Data Science Fundamentals with R, Python, and Open Data - Marco Cremonini
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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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  • An R Companion to Linear Statistical Models - Christopher Hay-Jahans
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  • Probability Theory : An Introduction Using R - Shailaja R. Deshmukh
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  • Modern Statistics with R : From Wrangling and Exploring Data to Inference and Predictive Modelling - Måns Thulin
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  • Grow with Python Programming : From Basics to Advanced - Mark Fliks
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  • Computational Statistics : An Introduction to R - Günther Sawitzki
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    MoonJung Cho and Wendy L. Martinez
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  • Mimetic Discretization Methods - Jose E. Castillo
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  • Lectures on the Nearest Neighbor Method : Springer Series in the Data Sciences - Gérard Biau
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    Gérard Biau and Luc Devroye
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  • Applications in Statistical Computing : From Music Data Analysis to Industrial Quality Improvement - Nadja Bauer
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  • Analysis of Large and Complex Data : Springer Nature Proceedings excluding Computer Science - Adalbert F.X. Wilhelm
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  • Hydraulically Actuated Hexapod Robots : Design, Implementation and Control - Kenzo Nonami
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    Kenzo Nonami, Ranjit Kumar Barai, Addie Irawan and Mohd Razali Daud
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  • Statistical Learning of Complex Data : Springer Nature Proceedings excluding Computer Science - Francesca Greselin
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    Francesca Greselin, Laura Deldossi, Luca Bagnato and Maurizio Vichi
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  • Magnetic Resonance Brain Imaging : Modeling and Data Analysis Using R - Jörg Polzehl
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    Jörg Polzehl and Karsten Tabelow
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  • Risk Assessment and Evaluation of Predictions : Springer Nature Proceedings excluding Computer Science - Mitchell Gail
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  • Nonlinear Mode Decomposition : Theory and Applications - Dmytro Iatsenko
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  • Computer Networks : 22nd International Conference, CN 2015, Brunow, Poland, June 16-19, 2015. Proceedings - Piotr Stera
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    Piotr Stera, Andrzej Kwiecie? and Piotr Gaj
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  • Introduction to Global Optimization Exploiting Space-Filling Curves : Mathematics and Statistics (R0) - Yaroslav D. Sergeyev
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