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  • Advances in Applied Operations Research and Analytics for Business Intelligence : Proceedings of International Conference on Emerging Trends in Business Analytics & Management Sciences 2024, Volume 1 - Pankaj Dutta
    Advances in Applied Operations Research and Analytics for Business Intelligence
    Proceedings of International Conference on Emer...
    Pankaj Dutta, Sudeep Bapat, Dipak Jana, Anil Kumar and Naoufel Cheikhrouhou
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  • Statistical Methods and Analyses for Optimization Algorithms and Artificial Intelligence : An Intuitive Guide and Practical Steps of Learning from Data - Abdul Hanif Halim
    Statistical Methods and Analyses for Optimization Algorithms and Artificial Intelligence
    An Intuitive Guide and Practical Steps of Learn...
    Abdul Hanif Halim and Swagatam Das
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  • Modeling in Life Sciences and Ecology : Machine Learning and Dynamical Systems - Jingli Ren
    Modeling in Life Sciences and Ecology
    Machine Learning and Dynamical Systems
    Jingli Ren and Yiwen Tao
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  • Technological Progress on Variable Rate Fertilization : Biomedical and Life Sciences (R0) - Yinyan Shi
    Technological Progress on Variable Rate Fertilization
    Biomedical and Life Sciences (R0)
    Yinyan Shi, Xiaochan Wang, Man Chen, Lei Wang and Zhao Zhang
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  • Pattern Recognition and Computer Vision : 8th Chinese Conference, PRCV 2025, Shanghai, China, October 15-18, 2025, Proceedings, Part XVI - Josef Kittler
    Pattern Recognition and Computer Vision
    8th Chinese Conference, PRCV 2025, Shanghai, Ch...
    Josef Kittler, Hongkai Xiong, Jian Yang, Xilin Chen and Weishi Zheng
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  • Dose-Exposure-Response Modeling : Methods and Practical Implementation - Jixian Wang
    Dose-Exposure-Response Modeling
    Methods and Practical Implementation
    Jixian Wang
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  • Time Series : A Data Analysis Approach Using R - Robert H. Shumway
    Time Series
    A Data Analysis Approach Using R
    Robert H. Shumway and David S. Stoffer
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  • Initialization and Diversity in Optimization Algorithms - Diego Oliva
    Initialization and Diversity in Optimization Algorithms
    Diego Oliva, Marco Antonio Perez Cisneros, Bernardo Morales-Castañeda and Mario A. Navarro Velázquez
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  • Practical Data Mining with AI for Social Scientists : Social Sciences (R0) - Andrei P. Kirilenko
    Practical Data Mining with AI for Social Scientists
    Social Sciences (R0)
    Andrei P. Kirilenko
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  • Metareasoning for Robots : Adapting in Dynamic and Uncertain Environments - Jeffrey W. Herrmann
    Metareasoning for Robots
    Adapting in Dynamic and Uncertain Environments
    Jeffrey W. Herrmann
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  • Neural Information Processing : 32nd International Conference, ICONIP 2025, Okinawa, Japan, November 20-24, 2025, Proceedings, Part V - Tadahiro Taniguchi
    Neural Information Processing
    32nd International Conference, ICONIP 2025, Oki...
    Tadahiro Taniguchi, Chi Sing Andrew Leung, Tadashi Kozuno, Junichiro Yoshimoto and Kenji Doya
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  • Data Science and Big Data Analytics : Proceedings of IDBA 2025, Volume 1 - Durgesh Mishra
    Data Science and Big Data Analytics
    Proceedings of IDBA 2025, Volume 1
    Durgesh Mishra, Xin She Yang, Aynur Unal and Dharm Singh Jat
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  • Permutation Statistical Methods : Tests of Differences - Janis E Johnston
    Permutation Statistical Methods
    Tests of Differences
    Janis E Johnston, Kenneth J. Berry and Michael A. Long
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  • Foundations of Artificial Intelligence in Finance : Insights for Practitioners with Applications and Case Studies - Syed Hasan Jafar
    Foundations of Artificial Intelligence in Finance
    Insights for Practitioners with Applications an...
    Syed Hasan Jafar, Hemachandran K, Donkor Nawaah and Raul Villamarin Rodriguez
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  • Statistics in Environmental Monitoring and Assessment - Shin' ichi Okamoto
    Statistics in Environmental Monitoring and Assessment
    Shin' ichi Okamoto and Nguyen Thi Kim Oanh
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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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  • Bayesian Statistical Methods : With Applications to Machine Learning - Brian J. Reich
    Bayesian Statistical Methods
    With Applications to Machine Learning
    Brian J. Reich and Sujit K. Ghosh
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  • Recent Advances in Computational Methods in Science and Technology : Volume 1 - Sukhpreet Kaur
    Recent Advances in Computational Methods in Science and Technology
    Volume 1
    Sukhpreet Kaur, Amanpreet Kaur and Manish Kumar
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  • Recent Advances in Computational Methods in Science and Technology : Volume 2 - Sukhpreet Kaur
    Recent Advances in Computational Methods in Science and Technology
    Volume 2
    Sukhpreet Kaur, Amanpreet Kaur and Manish Kumar
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  • Statistics for Textile and Apparel - Jamakhandi Hayavadana
    Statistics for Textile and Apparel
    Jamakhandi Hayavadana
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  • Analytic Methods in Sports : Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports - Thomas A Severini
    Analytic Methods in Sports
    Using Mathematics and Statistics to Understand ...
    Thomas A Severini
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  • Trends in Sustainable Computing and Machine Intelligence : Proceedings of ICTSM 2025 - Surekha Lanka
    Trends in Sustainable Computing and Machine Intelligence
    Proceedings of ICTSM 2025
    Surekha Lanka, Antonio Sarasa Cabezuelo and Alexandru Tugui
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  • Proceedings of World Conference on Artificial Intelligence: Advances and Applications : WCAIAA 2025, Volume 4 - Ashish Kumar Tripathi
    Proceedings of World Conference on Artificial Intelligence: Advances and Applications
    WCAIAA 2025, Volume 4
    Ashish Kumar Tripathi, Apu Kumar Saha and Vivek Shrivastava
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  • Managing Project Complexity and Risk with Systems Engineering : Mathematics and Statistics (R0) - Robert F. Bordley
    Managing Project Complexity and Risk with Systems Engineering
    Mathematics and Statistics (R0)
    Robert F. Bordley
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  • Pattern Recognition and Computer Vision : 8th Chinese Conference, PRCV 2025, Shanghai, China, October 15-18, 2025, Proceedings, Part XIII - Josef Kittler
    Pattern Recognition and Computer Vision
    8th Chinese Conference, PRCV 2025, Shanghai, Ch...
    Josef Kittler, Hongkai Xiong, Jian Yang, Xilin Chen and Weishi Zheng
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  • AI Meets Strategy : A Product Manager's Guide to Leading Innovation - Anshuman Srivastava
    AI Meets Strategy
    A Product Manager's Guide to Leading Innovation
    Anshuman Srivastava, Abhinav Garg and Anshuman Mishra
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  • Pattern Recognition and Computer Vision : 8th Chinese Conference, PRCV 2025, Shanghai, China, October 15-18, 2025, Proceedings, Part II - Josef Kittler
    Pattern Recognition and Computer Vision
    8th Chinese Conference, PRCV 2025, Shanghai, Ch...
    Josef Kittler, Hongkai Xiong, Jian Yang, Xilin Chen and Weishi Zheng
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  • Pattern Recognition and Computer Vision : 8th Chinese Conference, PRCV 2025, Shanghai, China, October 15-18, 2025, Proceedings, Part XV - Josef Kittler
    Pattern Recognition and Computer Vision
    8th Chinese Conference, PRCV 2025, Shanghai, Ch...
    Josef Kittler, Hongkai Xiong, Jian Yang, Xilin Chen and Weishi Zheng
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  • Implementing R for Statistics - Muhammad Imran
    Implementing R for Statistics
    Muhammad Imran, Michail Tsagris, Farrukh Jamal and Christophe Chesneau
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  • Business Statistics Abridged : Australia and New Zealand : 8th Edition - Eliyathamby A Selvanathan
    Business Statistics Abridged
    Australia and New Zealand : 8th Edition
    Eliyathamby A Selvanathan and Saroja Selvanathan
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  • Partial Truths : How Fractions Distort Our Thinking - James C. Zimring
    Partial Truths
    How Fractions Distort Our Thinking
    James C. Zimring
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  • Guide to Multiple Regression - Samia Challal
    Guide to Multiple Regression
    Samia Challal
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  • Advances in Latent Class Analysis : A Festschrift in Honor of C. Mitchell Dayton - Gregory R. Hancock
    Advances in Latent Class Analysis
    A Festschrift in Honor of C. Mitchell Dayton
    Gregory R. Hancock, Jeffrey R. Harring and George B. Macready
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  • Statistical Theories of Mental Test Scores - Frederic M. Lord
    Statistical Theories of Mental Test Scores
    Frederic M. Lord and Melvin R. Novick
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  • Statistics and Data Handling for Biologists : A Student's Guide - Neil Millar
    Statistics and Data Handling for Biologists
    A Student's Guide
    Neil Millar
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  • Big Data Analysis : Theory and Technology - Senlin Luo
    Big Data Analysis
    Theory and Technology
    Senlin Luo and Limin Pan
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  • Improbable Destinies : How Predictable is Evolution? - Jonathan Losos
    Improbable Destinies
    How Predictable is Evolution?
    Jonathan Losos
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  • Foundations of Multiple Regression and Analysis of Variance - Lynn Roy LaMotte
    Foundations of Multiple Regression and Analysis of Variance
    Lynn Roy LaMotte
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  • Business Statistics : Australia and New Zealand - Eliyathamby A Selvanathan
    Business Statistics
    Australia and New Zealand
    Eliyathamby A Selvanathan and Saroja Selvanathan
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  • R for Data Science : Import, Tidy, Transform, Visualize, and Model Data - Hadley Wickham
    R for Data Science
    Import, Tidy, Transform, Visualize, and Model Data
    Hadley Wickham, Mine Çetinkaya-Rundel and Garrett Grolemund
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  • Metaheuristic Optimization via Memory and Evolution : Tabu Search and Scatter Search - Cesar Rego
    Metaheuristic Optimization via Memory and Evolution
    Tabu Search and Scatter Search
    Cesar Rego and ?Bahram Alidaee
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  • Handbook of Religion and Social Institutions - Helen Rose Ebaugh
    Handbook of Religion and Social Institutions
    Helen Rose Ebaugh
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  • Handbook of Combinatorial Optimization : Supplement Volume B - DingZhu Du
    Handbook of Combinatorial Optimization
    Supplement Volume B
    DingZhu Du and ?Panos M. Pardalos
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  • Mining Sequential Patterns from Large Data Sets - Wei Wang
    Mining Sequential Patterns from Large Data Sets
    Wei Wang and Jiong Yang
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  • Optimization and Control with Applications - Liqun Qi
    Optimization and Control with Applications
    Liqun Qi, ?Kok Lay Teo and ?Xiao Qi Yang
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  • The Schur Complement and Its Applications - Fuzhen Zhang
    The Schur Complement and Its Applications
    Fuzhen Zhang
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  • Stochastic Linear Programming : Models, Theory, and Computation - Peter Kall
    Stochastic Linear Programming
    Models, Theory, and Computation
    Peter Kall and János Mayer
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  • Pseudosolution of Linear Functional Equations : Parameters Estimation of Linear Functional Relationships - Alexander S. Mechenov
    Pseudosolution of Linear Functional Equations
    Parameters Estimation of Linear Functional Rela...
    Alexander S. Mechenov
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  • Exploring Probability in School : Challenges for Teaching and Learning - Graham A. Jones
    Exploring Probability in School
    Challenges for Teaching and Learning
    Graham A. Jones
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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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  • Theory of Stochastic Differential Equations with Jumps and Applications : Mathematical and Analytical Techniques with Applications to Engineering - Rong SITU
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    Mathematical and Analytical Techniques with App...
    Rong SITU
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  • Radiation Toxicity : A Practical Medical Guide - William Small
    Radiation Toxicity
    A Practical Medical Guide
    William Small
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  • Metaheuristics:  : Progress as Real Problem Solvers - Toshihide Ibaraki
    Metaheuristics:
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    Toshihide Ibaraki, ?Koji Nonobe and ?Mutsunori Yagiura
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  • Advanced BDD Optimization - Rudiger Ebendt
    Advanced BDD Optimization
    Rudiger Ebendt, Görschwin Fey and Rolf Drechsler
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  • Data Mining and Knowledge Discovery Handbook : A Complete Guide for Research Scientists and Practitioners - Oded Maimon
    Data Mining and Knowledge Discovery Handbook
    A Complete Guide for Research Scientists and Pr...
    Oded Maimon and ?Lior Rokach
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  • Essays and Surveys in Global Optimization - Charles Audet
    Essays and Surveys in Global Optimization
    Charles Audet, ?Pierre Hansen and ?Giles Savard
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  • Graph Theory and Combinatorial Optimization - David Avis
    Graph Theory and Combinatorial Optimization
    David Avis, ?Alain Hertz and ?Odile Marcotte
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  • Probability, Statistics and Modelling in Public Health - M.S. Nikulin
    Probability, Statistics and Modelling in Public Health
    M.S. Nikulin, ?Daniel Commenges and ?Catherine HuberCarol
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  • Quantitative Health Risk Analysis Methods : Modeling the Human Health Impacts of Antibiotics Used in Food Animals - Louis Anthony Cox Jr.
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    Louis Anthony Cox Jr.
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  • Inference for Change Point and Post Change Means After a CUSUM Test - Yanhong Wu
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    Yanhong Wu
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  • Discrete-Time Markov Chains : Two-Time-Scale Methods and Applications - G. George Yin
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    G. George Yin and Qing Zhang
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  • Abstraction, Refinement and Proof for Probabilistic Systems - Annabelle McIver
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    Annabelle McIver and Charles Carroll Morgan
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  • Statistical and Computational Inverse Problems - Jari Kaipio
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    Jari Kaipio and E. Somersalo
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  • Permutation, Parametric, and Bootstrap Tests of Hypotheses : A Practical Guide to Resampling Methods for Testing Hypotheses - Phillip I. Good
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    A Practical Guide to Resampling Methods for Tes...
    Phillip I. Good
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  • Regression Methods in Biostatistics : Linear, Logistic, Survival, and Repeated Measures Models - Eric Vittinghoff
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    Eric Vittinghoff, David V. Glidden, Stephen C. Shiboski and Charles E. McCulloch
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  • Probability : A Graduate Course - Allan Gut
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    Allan Gut
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  • Nearest Neighbor Search:  : A Database Perspective - Apostolos N. Papadopoulos
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    Apostolos N. Papadopoulos and Yannis Manolopoulos
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  • Modern Portfolio Optimization with NuOPT™, S-PLUS®, and S+Bayes™ - Bernd Scherer
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    Bernd Scherer and R. Douglas Martin
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  • Average-Cost Control of Stochastic Manufacturing Systems - Suresh P. Sethi
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    Suresh P. Sethi, Han-Qin Zhang and Qing Zhang
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  • Statistical and Inductive Inference by Minimum Message Length - C. S. Wallace
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    C. S. Wallace
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  • Statistical Methods in Molecular Evolution - Rasmus Nielsen
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    Rasmus Nielsen
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  • Screening : Methods for Experimentation in Industry, Drug Discovery, and Genetics - Angela Dean
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    Angela Dean and ?Susan Lewis
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  • Developing Statistical Software in Fortran 95 - David R. Lemmon
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    David R. Lemmon and Joseph L. Schafer
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  • Stochastic Finance - Albert N. Shiryaev
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    Albert N. Shiryaev, ?Maria do Rosário Grossinho and ?Paulo E. Oliveira
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  • The Basics of S-PLUS - Andreas Krause
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    Andreas Krause and Melvin Olson
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