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  • Elementary Numerical Mathematics for Programmers and Engineers : Compact Textbooks in Mathematics - Agnes Baran
    Elementary Numerical Mathematics for Programmers and Engineers
    Compact Textbooks in Mathematics
    Agnes Baran and Gisbert Stoyan
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  • Humanities Data in R : Exploring Networks, Geospatial Data, Images, and Text - Lauren Tilton
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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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  • Introduction to Probability and Statistics for Data Science : with R - Steven E. Rigdon
    Introduction to Probability and Statistics for Data Science
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    Steven E. Rigdon, Ronald D. Fricker, Jr and Douglas C. Montgomery
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    Coherence
    In Signal Processing and Machine Learning
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    Essentials of Excel VBA, Python, and R
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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 - Alistair Young
    Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers
    14th International Workshop, STACOM 2023, Held ...
    Alistair Young, Qian Tao, Oscar Camara, Maxime Sermesant and Esther Puyol-Anton
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  • Manifold Learning : Model Reduction in Engineering - David Ryckelynck
    Manifold Learning
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    David Ryckelynck, Nissrine Akkari and Fabien Casenave
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  • Reflections on the Foundations of Probability and Statistics : Essays in Honor of Teddy Seidenfeld - Fabio Gagliardi Cozman
    Reflections on the Foundations of Probability and Statistics
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    Fabio Gagliardi Cozman, Thomas Augustin and Gregory Wheeler
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  • A Practical Guide to Data Analysis Using R : An Example-Based Approach - John H. Maindonald
    A Practical Guide to Data Analysis Using R
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  • Randomized Response Techniques : Certain Thought-Provoking Aspects - Arijit Chaudhuri
    Randomized Response Techniques
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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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    Discrete Choice Analysis with R
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    Antonio Paez and Genevieve Boisjoly
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  • Hierarchical Archimedean Copulas : SpringerBriefs in Applied Statistics and Econometrics - Jan Gorecki
    Hierarchical Archimedean Copulas
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    Jan Gorecki and Ostap Okhrin
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  • Bayesian Social Science Statistics : From the Very Beginning - Jeff Gill
    Bayesian Social Science Statistics
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  • Bayesian Social Science Statistics : From the Very Beginning - Jeff Gill
    Bayesian Social Science Statistics
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  • Explorations in Monte Carlo Methods : Undergraduate Texts in Mathematics - Franklin Mendivil
    Explorations in Monte Carlo Methods
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    Learning Analytics Methods and Tutorials
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    Sustainable Statistical and Data Science Methods and Practices
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  • Matrix Algebra : Theory, Computations and Applications in Statistics - James E. Gentle
    Matrix Algebra
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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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    Fundamentals of Predictive Analytics with JMP, Third Edition
    Ron Klimberg
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    Introductory Applied Statistics
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    The Fundamentals of People Analytics
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    Algorithmic Decision Making with Python Resources
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    The Fundamentals of People Analytics
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    MATLAB and Simulink Crash Course for Engineers
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    Shallow and Deep Learning Principles
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  • Introduction to Statistics and Data Analysis : With Exercises, Solutions and Applications in R - Christian Heumann
    Introduction to Statistics and Data Analysis
    With Exercises, Solutions and Applications in R
    Christian Heumann, Shalabh and Michael Schomaker
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    Business Analytics
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    Statistical Methods and Analyses for Medical Devices
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    Robust Statistics Through the Monitoring Approach
    Applications in Regression
    Aldo Corbellini, Valentin Todorov, Marco Riani, Domenico Perrotta and Anthony C. Atkinson
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  • Metamodeling Techniques to Aid in the Aggregation Process of Large Hierarchical Simulation Models - June F.D. Rodriguez
    Metamodeling Techniques to Aid in the Aggregation Process of Large Hierarchical Simulation Models
    June F.D. Rodriguez
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    An Introduction to Web Mining
    with Applications in R
    Ulrich Matter
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    Tensor Decompositions for Data Science
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    Prompting Causal Events
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    Supervised and Unsupervised Statistical Data Analysis
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  • Elements of Network Science : Theory, Methods and Applications in Stata, R and Python - Antonio Zinilli
    Elements of Network Science
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    MATLAB Roadmap to Applications
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    Math Refresher Workbook for Adults Returning to School
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    Basics of SIMULINK for Engineers
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    UNDERSTANDING INFORMATION AND ITS ROLE AS A TOOL
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    Survey Researcher's SPSS Cookbook, The, Pearson Original Edition
    Manning, Mark & Munro, Don
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    The SPSS Book
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    Statistical Analytics for Health Data Science with SAS and R Set
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    Reskilling and Upskilling in the Age of AI
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    Create and Export Tables Using Stata
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    How to Use SPSS (R) 10ed
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    An excursion into Markov chains
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  • Quantum Computing Algorithms : Discover how a little math goes a long way - Barry Burd
    Quantum Computing Algorithms
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    Foundations of Bayesian Statistics for Data Scientists
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    Foundations of Bayesian Statistics for Data Scientists
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