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eBooks > Non-Fiction > Computing & I.T. > Business Applications > Mathematical & Statistical Software

Mathematical & Statistical Software

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  • All eBooks (1977)
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  • Uncertainty Theory - Baoding Liu
    Uncertainty Theory
    Baoding Liu
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  • Shape Reconstruction from Apparent Contours : Theory and Algorithms - Giovanni Bellettini
    Shape Reconstruction from Apparent Contours
    Theory and Algorithms
    Giovanni Bellettini, Valentina Beorchia, Maurizio Paolini and Franco Pasquarelli
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  • Semantics of Probabilistic Processes : An Operational Approach - Yuxin Deng
    Semantics of Probabilistic Processes
    An Operational Approach
    Yuxin Deng
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  • Getting Started with Julia : Enter the exciting world of Julia, a high-performance language for technical computing - Ivo Balbaert
    Getting Started with Julia
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    Ivo Balbaert
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  • Mastering Python for Finance : Understand, design, and implement state-of-the-art mathematical and statistical applications used in finance with Python - James Ma Weiming
    Mastering Python for Finance
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    James Ma Weiming
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  • Mastering R for Quantitative Finance : Use R to optimize your trading strategy and build up your own risk management system - Gergely Gabler
    Mastering R for Quantitative Finance
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    Gergely Gabler
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  • Data Analysis in Sport : Routledge Studies in Sports Performance Analysis - Peter O'Donoghue
    Data Analysis in Sport
    Routledge Studies in Sports Performance Analysis
    Peter O'Donoghue and Lucy Holmes
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  • Graphics Gems - Andrew S. Glassner
    Graphics Gems
    Andrew S. Glassner
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  • XML and Web Technologies for Data Sciences with R : Use R! - Deborah Nolan
    XML and Web Technologies for Data Sciences with R
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    Deborah Nolan and Duncan Temple Lang
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  • Mathematical Statistics and Limit Theorems : Festschrift in Honour of Paul Deheuvels - Marc Hallin
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    Festschrift in Honour of Paul Deheuvels
    Marc Hallin
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  • Bayesian Statistics from Methods to Models and Applications : Research from BAYSM 2014 - Sylvia Frühwirth-Schnatter
    Bayesian Statistics from Methods to Models and Applications
    Research from BAYSM 2014
    Sylvia Frühwirth-Schnatter, Angela Bitto, Gregor Kastner and Alexandra Posekany
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  • Frontiers in Statistical Quality Control 11 : Mathematics and Statistics (R0) - Sven Knoth
    Frontiers in Statistical Quality Control 11
    Mathematics and Statistics (R0)
    Sven Knoth and Wolfgang Schmid
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  • Primer to Analysis of Genomic Data Using R : Mathematics and Statistics (R0) - Cedric Gondro
    Primer to Analysis of Genomic Data Using R
    Mathematics and Statistics (R0)
    Cedric Gondro
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  • Gephi Cookbook : Over 90 hands-on recipes to master the art of network analysis and visualization with Gephi - Devangana
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    Devangana
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  • Modeling and Stochastic Learning for Forecasting in High Dimensions : Springer Nature Proceedings excluding Computer Science - Anestis Antoniadis
    Modeling and Stochastic Learning for Forecasting in High Dimensions
    Springer Nature Proceedings excluding Computer ...
    Anestis Antoniadis, Jean-Michel Poggi and Xavier Brossat
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  • Learning Predictive Analytics with Python : Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python - Ashish Kumar
    Learning Predictive Analytics with Python
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    Ashish Kumar
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  • Bitcoin Essentials : Gain insights into Bitcoin, a cryptocurrency and a powerful technology, to optimize your Bitcoin mining techniques - Albert Szmigielski
    Bitcoin Essentials
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    Albert Szmigielski
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  • Building a Recommendation System with R : Learn the art of building robust and powerful recommendation engines using R - Michele Usuelli
    Building a Recommendation System with R
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    Michele Usuelli
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  • Learning Bitcoin : Embrace the new world of fiance by leveraging the power of crypto-currencies using Bitcoin and the Blockchain - Richard Caetano
    Learning Bitcoin
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    Richard Caetano
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  • LaTeX Cookbook : Over 90 hands-on recipes for quickly preparing LaTeX documents to solve various challenging tasks - Stefan Kottwitz
    LaTeX Cookbook
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    Stefan Kottwitz
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  • A Guide to Doing Statistics in Second Language Research Using SPSS and R : Second Language Acquisition Research Series - Jenifer Larson-Hall
    A Guide to Doing Statistics in Second Language Research Using SPSS and R
    Second Language Acquisition Research Series
    Jenifer Larson-Hall
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  • R Graphs Cookbook Second Edition - Jaynal Abedin
    R Graphs Cookbook Second Edition
    Jaynal Abedin and Hrishi V. Mittal
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  • Programming Behavioral Experiments with MATLAB and Psychtoolbox : 9 Simple Steps for Students and Researchers - Erman Misirlisoy
    Programming Behavioral Experiments with MATLAB and Psychtoolbox
    9 Simple Steps for Students and Researchers
    Erman Misirlisoy
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  • Bayesian Analysis with Python : Unleash the power and flexibility of the Bayesian framework - Osvaldo Martin
    Bayesian Analysis with Python
    Unleash the power and flexibility of the Bayesi...
    Osvaldo Martin
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  • Practical Machine Learning with H2O : Powerful, Scalable Techniques for Deep Learning and AI - Darren Cook
    Practical Machine Learning with H2O
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    Darren Cook
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  • Practical Data Analysis : Pandas, MongoDB, Apache Spark, and more - Hector Cuesta
    Practical Data Analysis
    Pandas, MongoDB, Apache Spark, and more
    Hector Cuesta and Dr. Sampath Kumar
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  • Matrix Algorithms in MATLAB - Ong U. Routh
    Matrix Algorithms in MATLAB
    Ong U. Routh
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  • NumPy Essentials : Boost your scientific and analytic capabilities in no time at all by discovering how to build real-world applications with NumPy - Leo (Liang-Huan) Chin
    NumPy Essentials
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    Leo (Liang-Huan) Chin, Tanmay Dutta, Jaidev Deshpande and Shane Holloway
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  • RStudio for R Statistical Computing Cookbook : Over 50 practical and useful recipes to help you perform data analysis with R by unleashing every native RStudio feature - Andrea Cirillo
    RStudio for R Statistical Computing Cookbook
    Over 50 practical and useful recipes to help yo...
    Andrea Cirillo
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    $59.39
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  • Multiple Factor Analysis by Example Using R : Chapman & Hall/CRC The R Series - Jérôme Pagès
    Multiple Factor Analysis by Example Using R
    Chapman & Hall/CRC The R Series
    Jérôme Pagès
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  • Beyond the T-Test : Mathematics and Statistics (R0) - Scott A. Pardo
    Beyond the T-Test
    Mathematics and Statistics (R0)
    Scott A. Pardo
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  • Every Bit Counts : Posit Computing - John L. Gustafson
    Every Bit Counts
    Posit Computing
    John L. Gustafson
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  • Mastering Health Data Science Using R - Alice Paul
    Mastering Health Data Science Using R
    Alice Paul
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  • Introduction to Political Analysis in R : Chapman & Hall/CRC The R Series - H. Whitt Kilburn
    Introduction to Political Analysis in R
    Chapman & Hall/CRC The R Series
    H. Whitt Kilburn
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  • Proceedings of International Conference on Information Technology and Applications : ICITA 2024 - Abrar Ullah
    Proceedings of International Conference on Information Technology and Applications
    ICITA 2024
    Abrar Ullah and Sajid Anwar
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    $409.00
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  • BiteSize Python for Absolute Beginners : With Practice Labs, Real-World Examples, and Generative AI Assistance - Di Wu
    BiteSize Python for Absolute Beginners
    With Practice Labs, Real-World Examples, and Ge...
    Di Wu
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  • An Introduction to Applied Statistics : With Step-By-Step SPSS Instructions - Jr. Edward T. Vieira
    An Introduction to Applied Statistics
    With Step-By-Step SPSS Instructions
    Jr. Edward T. Vieira
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  • Statistics for Scientists : A Concise Guide for Data-driven Research - Umberto Michelucci
    Statistics for Scientists
    A Concise Guide for Data-driven Research
    Umberto Michelucci
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  • Theoretical Ecology : Concepts and Models with R - Ryan Chisholm
    Theoretical Ecology
    Concepts and Models with R
    Ryan Chisholm
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  • Advanced Statistical Methods in Life Science - Basavarajaiah D.M
    Advanced Statistical Methods in Life Science
    Basavarajaiah D.M and Narasimhamurthy B
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  • Deep Learning Generalization : Theoretical Foundations and Practical Strategies - Liu Peng
    Deep Learning Generalization
    Theoretical Foundations and Practical Strategies
    Liu Peng
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  • Statistical Analysis with R For Dummies - Joseph Schmuller
    Statistical Analysis with R For Dummies
    Joseph Schmuller
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  • Robust Explainable AI : Artificial Intelligence (R0) - Francesco Leofante
    Robust Explainable AI
    Artificial Intelligence (R0)
    Francesco Leofante and Matthew Wicker
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  • New Trends in Functional Statistics and Related Fields
    New Trends in Functional Statistics and Related Fields
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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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  • 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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  • Building the Future : Advanced Web Development Techniques with Flask and Python - Ladd Baby
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    Ladd Baby
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  • Truly Concurrent Process Algebra With Localities - Yong Wang
    Truly Concurrent Process Algebra With Localities
    Yong Wang
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  • Introduction to General and Generalized Linear Models : Chapman & Hall/CRC Texts in Statistical Science - Henrik Madsen
    Introduction to General and Generalized Linear Models
    Chapman & Hall/CRC Texts in Statistical Science
    Henrik Madsen and Poul Thyregod
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  • Hate Excel? Learn to Love the Software that Can Transform your Confidence and Career - Anne Walsh
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    Anne Walsh
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  • Using SAS for Data Management, Statistical Analysis, and Graphics - Ken Kleinman
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    Ken Kleinman and Nicholas J. Horton
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  • Relational Data Clustering : Models, Algorithms, and Applications - Bo Long
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    Bo Long, Zhongfei Zhang and Philip S. Yu
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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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  • 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
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    Vishesh Dhingra
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  • The Book of R, 2nd Edition : A First Course in Programming and Statistics - Tilman M. Davies
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    A First Course in Programming and Statistics
    Tilman M. Davies
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    Gabriel Otieno Okello
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  • INVENRELATION (Second Edition) : INVENRELATION - Shih-Yu Chang
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    INVENRELATION
    Shih-Yu Chang and ???
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  • Statistics, Society and Environment : 35th FNE, Cuernavaca, Mexico, September 27-29, 2023 - J. Andrés Christen
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    J. Andrés Christen, Ruth Fuentes-García, Gabriel Núñez-Antonio, Sergio Pérez and Alan Riva-Palacio
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  • Partial Differential Equations and Mathematica - Prem K. Kythe
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    Prem K. Kythe, Michael R. Schäferkotter and Pratap Puri
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    Stewart Anderson
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  • Fast Solvers for Mesh-Based Computations : Advances in Applied Mathematics - Maciej Paszynski
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    Advances in Applied Mathematics
    Maciej Paszynski
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  • Spatial Point Patterns : Methodology and Applications with R - Adrian Baddeley
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    Adrian Baddeley, Ege Rubak and Rolf Turner
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  • Elements of Matrix Modeling and Computing with MATLAB - Robert E. White
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    Robert E. White
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    David McMahon
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    Kevin J. Hastings
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  • Experimental Mathematics in Action - David Bailey
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    David Bailey, Jonathan Borwein, Neil Calkin, Russell Luke and Victor Moll
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  • Linear and Nonlinear Programming with Maple : An Interactive, Applications-Based Approach - Paul E. Fishback
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    Paul E. Fishback
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  • Regression Modeling : Methods, Theory, and Computation with SAS - Michael Panik
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    Michael Panik
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    Diran Basmadjian and Ramin Farnood
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  • Introduction to Statistical Data Analysis for the Life Sciences - Claus Thorn Ekstrom
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    Claus Thorn Ekstrom and Helle Sørensen
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    Mustafa R.S. Kulenovic and Orlando Merino
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  • Cyclic and Computer Generated Designs : Chapman & Hall/CRC Monographs on Statistics and Applied Probability - J.A. John
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    J.A. John and E.R. Williams
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  • Methodological and Applied Statistics and Demography III : SIS 2024, Short Papers, Contributed Sessions 1 - Alessio Pollice
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    Alessio Pollice and Paolo Mariani
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  • Data Clustering in C++ : An Object-Oriented Approach - Guojun Gan
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  • Mathematical Methods in Physics and Engineering with Mathematica : Chapman & Hall/CRC Applied Mathematics & Nonlinear Science - Ferdinand F. Cap
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  • Handbook of Univariate and Multivariate Data Analysis with IBM SPSS - Robert Ho
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    Robert Ho
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