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  • Core Concepts in Data Analysis : Summarization, Correlation and Visualization - Boris Mirkin
    Core Concepts in Data Analysis
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    Boris Mirkin
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  • Differential Equations : Theory and Applications - David Betounes
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    David Betounes
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  • Applied Probability - Kenneth Lange
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    Kenneth Lange
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  • An Introduction to Modern Mathematical Computing : With Maple™ - Jonathan M. Borwein
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    Jonathan M. Borwein and Matthew P. Skerritt
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  • Introduction to Stochastic Programming - John R. Birge
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    John R. Birge and François Louveaux
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  • Statistics for Bioengineering Sciences : With MATLAB and WinBUGS Support - Brani Vidakovic
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    Brani Vidakovic
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    R for SAS and SPSS Users
    Robert A. Muenchen
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  • Excel 2010 for Educational and Psychological Statistics : A Guide to Solving Practical Problems - Thomas J Quirk
    Excel 2010 for Educational and Psychological Statistics
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    Thomas J Quirk
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  • Criminal Justice Forecasts of Risk : A Machine Learning Approach - Richard Berk
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    Richard Berk
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  • Pyomo - Optimization Modeling in Python - William E. Hart
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    William E. Hart, Carl Laird, Jean-Paul Watson and David L. Woodruff
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  • Robust Control Design with MATLAB® - Da-Wei Gu
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    Da-Wei Gu, Petko H. Petkov and Mihail M Konstantinov
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  • An Introduction to Programming and Numerical Methods in MATLAB - Steve Otto
    An Introduction to Programming and Numerical Methods in MATLAB
    Steve Otto and James P. Denier
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  • Computational Methods in Chemical Engineering with Maple - Ralph E. White
    Computational Methods in Chemical Engineering with Maple
    Ralph E. White and Venkat R. Subramanian
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  • Scientific Computing with MATLAB and Octave - Alfio Quarteroni
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    Alfio Quarteroni, Fausto Saleri and Paola Gervasio
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  • Fundamentals of Scientific Computing : Fundamentals of Scientific Computing - Bertil Gustafsson
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    Bertil Gustafsson
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  • Environmental Modeling : Using MATLAB - Ekkehard Holzbecher
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  • Programming for Engineers : A Foundational Approach to Learning C and Matlab - Aaron R. Bradley
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    Aaron R. Bradley
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  • Numerical Methods with Worked Examples : Matlab Edition - C. Woodford
    Numerical Methods with Worked Examples
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    C. Woodford and C. Phillips
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  • Econometric Analysis of Carbon Markets : The European Union Emissions Trading Scheme and the Clean Development Mechanism - Julien Chevallier
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    Julien Chevallier
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  • Magnetics, Dielectrics, and Wave Propagation with MATLAB® Codes - Carmine Vittoria
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    Carmine Vittoria
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  • Mathematica for Theoretical Physics : Classical Mechanics and Nonlinear Dynamics - Gerd Baumann
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    Gerd Baumann
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  • Using SPSS for Windows : Data Analysis and Graphics - Susan B. Gerber
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    Susan B. Gerber and Kristin Voelkl Finn
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  • Computer Algebra Recipes : An Advanced Guide to Scientific Modeling - Richard H. Enns
    Computer Algebra Recipes
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    Richard H. Enns and George C. McGuire
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  • Numerical Linear Algebra - Grégoire Allaire
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    Grégoire Allaire and Sidi Mahmoud Kaber
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  • Numerical Methods : Using MATLAB - George Lindfield
    Numerical Methods
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    George Lindfield and John Penny
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  • RF and Digital Signal Processing for Software-Defined Radio : A Multi-Standard Multi-Mode Approach - Tony J. Rouphael
    RF and Digital Signal Processing for Software-Defined Radio
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    Tony J. Rouphael
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  • Categorical Data Analysis Using SAS - Maura E. Stokes
    Categorical Data Analysis Using SAS
    Maura E. Stokes, Charles S. Davis and Gary G. Koch
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  • QoS in Packet Networks - Kun I. Park
    QoS in Packet Networks
    Kun I. Park
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  • Intuitive Probability and Random Processes using MATLAB® - Steven Kay
    Intuitive Probability and Random Processes using MATLAB®
    Steven Kay
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  • Applied Data Mining for Forecasting Using SAS - Tim Rey
    Applied Data Mining for Forecasting Using SAS
    Tim Rey, Arthur Kordon and Chip Wells
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  • Applied Statistics with SPSS - Eelko Huizingh
    Applied Statistics with SPSS
    Eelko Huizingh
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  • Discovering Statistics Using SAS - Andy Field
    Discovering Statistics Using SAS
    Andy Field and Jeremy Miles
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  • Statistics for Research : With a Guide to SPSS - George Argyrous
    Statistics for Research
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    George Argyrous
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  • Mathematical Biology : An Introduction with Maple and Matlab - Ronald W. Shonkwiler
    Mathematical Biology
    An Introduction with Maple and Matlab
    Ronald W. Shonkwiler and James Herod
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  • Generalized Collocation Methods : Solutions to Nonlinear Problems - Nicola Bellomo
    Generalized Collocation Methods
    Solutions to Nonlinear Problems
    Nicola Bellomo, Bertrand Lods, Roberto Revelli and Luca Ridolfi
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  • The Art of Semiparametrics - Stefan Sperlich
    The Art of Semiparametrics
    Stefan Sperlich, Wolfgang Härdle and Gökhan Aydinli
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  • MATLAB Guide to Finite Elements : An Interactive Approach - Peter I. Kattan
    MATLAB Guide to Finite Elements
    An Interactive Approach
    Peter I. Kattan
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  • Exploratory Data Analysis Using Fisher Information - B. Roy Frieden
    Exploratory Data Analysis Using Fisher Information
    B. Roy Frieden and Robert A. Gatenby
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  • Essentials of Mathematica : With Applications to Mathematics and Physics - Nino Boccara
    Essentials of Mathematica
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    Nino Boccara
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  • Introduction to Probability with Statistical Applications - Géza Schay
    Introduction to Probability with Statistical Applications
    Géza Schay
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  • Logistic Regression Using SAS : Theory and Application - Paul D. Allison
    Logistic Regression Using SAS
    Theory and Application
    Paul D. Allison
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  • Data Quality for Analytics Using SAS - Gerhard Svolba
    Data Quality for Analytics Using SAS
    Gerhard Svolba
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  • Beginning R : The Statistical Programming Language - Mark Gardener
    Beginning R
    The Statistical Programming Language
    Mark Gardener
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  • Maple By Example - Martha L. Abell
    Maple By Example
    Martha L. Abell
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  • Sage Beginner's Guide : Beginner's Guide - Craig Finch
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    Craig Finch
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  • SAS Interview Questions You'll Most Likely Be Asked : Job Interview Questions Series - Vibrant Publishers
    SAS Interview Questions You'll Most Likely Be Asked
    Job Interview Questions Series
    Vibrant Publishers
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  • A Course in Statistics with R - Prabhanjan Tattar
    A Course in Statistics with R
    Prabhanjan Tattar
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  • Using Stata for Quantitative Analysis - Kyle C. Longest
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    Kyle C. Longest
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  • A Guide to R for Social and Behavioral Science Statistics - Brian Joseph Gillespie
    A Guide to R for Social and Behavioral Science Statistics
    Brian Joseph Gillespie, Kathleen Charli Hibbert and William E. Wagner-Huang
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  • Mathematical Summary for Digital Signal Processing Applications with Matlab : Engineering (R0) - E. S. Gopi
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    E. S. Gopi
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  • Excel 2010 for Business Statistics : A Guide to Solving Practical Business Problems - Thomas J Quirk
    Excel 2010 for Business Statistics
    A Guide to Solving Practical Business Problems
    Thomas J Quirk
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  • Excel 2007 for Social Science Statistics : A Guide to Solving Practical Problems - Thomas J Quirk
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    A Guide to Solving Practical Problems
    Thomas J Quirk
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  • Excel 2010 for Social Science Statistics : A Guide to Solving Practical Problems - Thomas J Quirk
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    A Guide to Solving Practical Problems
    Thomas J Quirk
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  • Beyond the T-Test : Mathematics and Statistics (R0) - Scott A. Pardo
    Beyond the T-Test
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    Scott A. Pardo
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  • Research in Computational Molecular Biology : 29th International Conference, RECOMB 2025, Seoul, South Korea, April 26-29, 2025, Proceedings - Sriram Sankararaman
    Research in Computational Molecular Biology
    29th International Conference, RECOMB 2025, Seo...
    Sriram Sankararaman
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  • Elements of Network Science : Theory, Methods and Applications in Stata, R and Python - Antonio Zinilli
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    Antonio Zinilli
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  • Scaling Up with R and Apache Arrow : Bigger Data, Easier Workflows - Nic Crane
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    Nic Crane, Jonathan Keane and Neal Richardson
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    Statistical Analysis with R For Dummies
    Joseph Schmuller
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  • Robust Explainable AI : Artificial Intelligence (R0) - Francesco Leofante
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    Francesco Leofante and Matthew Wicker
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  • Humanities Data in R : Exploring Networks, Geospatial Data, Images, and Text - Taylor Arnold
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    Taylor Arnold and Lauren Tilton
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  • Bayesian Programming : Chapman & Hall/CRC Machine Learning & Pattern Recognition - Pierre Bessiere
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  • 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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  • Probability Theory : An Introduction Using R - Shailaja R. Deshmukh
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  • Financial Data Science with SAS - Babatunde O Odusami
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  • Ultimate Statistical Analysis System (SAS) for Data Analytics : Enhance Your Data Analytics Skills, Optimize Workflows, and Drive Informed Decision-Making Across the Data Landscape with SAS (English Edition) - Vishesh Dhingra
    Ultimate Statistical Analysis System (SAS) for Data Analytics
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  • Recent Trends and Future Challenges in Learning from Data : Studies in Classification, Data Analysis, and Knowledge Organization - Cristina Davino
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  • Introduction to Data Science : Data Wrangling and Visualization with R - Rafael A. Irizarry
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  • R Programming : Statistical Data Analysis in Research - Kingsley Okoye
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  • Developments in Statistical Modelling : Mathematics and Statistics (R0) - Jochen Einbeck
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    Jochen Einbeck, Hyeyoung Maeng, Emmanuel Ogundimu and Konstantinos Perrakis
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    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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