Books and media Reviews

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  • Books available
    Abdelaati Daouia; Advances in Contemporary Statistics and Econometrics; Springer
    Achen, Christopher H.; The Statistical Analysis of Quasi-Experiments, First Edition; Wiley
    Adams, Christopher P.; Learning Microeconometrics with R; Chapman and Hall/CRC Press
    Agresti, Alan; Foundations of Statistics for Data Scientists: With R and Python;
    Alemayehu, Demissie; Interface between Regulation and Statistics in Drug Development; Chapman and Hall/CRC Press
    Almudevar, Anthony; Theory of Statistical Inference;
    Anderson, Raymond​; Credit Intelligence and Modelling: Many Paths through the Forest of Credit Rating and Scoring; Oxford University Press
    Aslam, Muhammad; Introduction to Statistical Process Control; Wiley
    Bailer, A.; Statistical Programming in SAS; Chapman and Hall/CRC Press
    Balakrishnan, Narayanaswamy .; Accelerated Life Testing of One-shot Devices: Data Collection and Analysis; Wiley
    Banks, David L.; Handbook of Forensic Statistics; Chapman and Hall/CRC Press
    Barbu, Vlad Stefan.; Statistical Topics and Stochastic Models for Dependent Data with Applications; Wiley
    Baum, Christopher F.; Environmental Econometrics Using Stata; Chapman &Hall/CRC Press
    Biecek, Przemyslaw.; Explanatory Model Analysis: Explore, Explain, and Examine Predictive Models; Chapman &Hall/CRC Press
    Bolla, Marianna.; Multidimensional Stationary Time Series: Dimension Reduction and Prediction; Chapman &Hall/CRC Press
    Borovkov, Ulyanov, Zhitlukh.; Asymptotic Analysis of Random Walks; Cambridge University Press
    Bose, Arup; Random Matrices and Non-Commutative Probability;
    Bowen, Claire McKay; Protecting Your Privacy in a Data-Driven World;
    Braun, Murdoch.; A First Course in Statistical Programming with R; Cambridge University Press
    Brémaud, Pierre; Probability Theory and Stochastic Processes; Springer
    Broström, Göran; Event History Analysis with R;
    Brumback, Babette A.; Fundamentals of Causal Inference: With R;
    Buchbinder, Iosif L.; Shapiro, Ilya.; Introduction to Quantum Field Theory with Applications to Quantum Gravity; Oxford University Press
    Campbell, Michael J.; Statistics at Square Two: Understanding Modern Statistical Applications in Medicine; Wiley
    Ceja, Enrique Garcia; Behavior Analysis with Machine Learning Using R;
    Chatterjee, Samprit; Handbook of Regression Analysis With Applications in R, 2nd Edition; Wiley
    Chen, Hua Yun; Semiparametric Odds Ratio Model and Its Applications;
    Chen, Xinguang, and Chen, Ding-Geng; Statistical Methods for Global Health and Epidemiology; Springer
    Christy Chuang-Stein; Quantitative Decisions in Drug Development; Springer
    Chun, Asaph Young; Administrative Records for Survey Methodology; Wiley
    Coene, John; Javascript for R; Chapman & Hall/CRC Press
    Cole, Diana; Parameter Redundancy and Identifiability; Chapman and Hall/CRC Press
    Coqueret, Guillaume; Perspectives in Sustainable Equity Investing;
    Cui, Xinping; Handbook of Multiple Comparisons;
    Curry, Edward; Introduction to Bioinformatics with R: A Practical Guide for Biologists; Chapman and Hall/CRC Press
    Dai, Harrison.; Processing Networks; Cambridge University Press
    De Brouwer, Philippe J. S.; The Big R-Book: From Data Science to Learning Machines and Big Data; Wiley
    Debowski, Lukasz.; Information Theory Meets Power Laws: Stochastic Processes and Language Models; Wiley
    Dejan Sarka; Advanced Analytics with Transact-SQL; Springer
    Denis, Daniel J.; Applied Univariate, Bivariate, and Multivariate Statistics Using Python: A Beginner's Guide to Advanced Data Analysis; Wiley
    Dimotikalis, Yannis; Applied Modeling Techniques and Data Analysis 2: Financial, Demographic, Stochastic and Statistical Models and Methods; Wiley
    Ding-Geng (Din) Chen; Statistical Regression Modeling with R; Springer
    Doganaksoy, Necip; Achieving Product Reliability: A Key to Business Success; Chapman &Hall/CRC Press
    Elliot, Andrew C. A.; What are the Chances of That?: How to Think About Uncertainty; Oxford University Press
    Emam, Moataz H.; Covariant Physics; Oxford University Press
    Faraway, Julian J.; Linear Models with Python; Chapman and Hall/CRC Press
    Fay, Colin; Engineering Production-Grade Shiny Apps; Chapman &Hall/CRC Press
    Foster, Ian; Big Data and Social Science: Data Science Methods and Tools for Research and Practice; Chapman and Hall/CRC Press
    Fowler, Jim; Practical Statistics for Nursing and Health Care, 2nd Edition; Wiley
    Franz Kronthaler; Data Analysis with RStudio; Springer
    Fraser, Christophe; Grassly, Nicholas C.; Infectious Disease Epidemiology; Oxford University Press
    Fumiya Akashi; Diagnostic Methods in Time Series; Springer
    Gamerman, Dani; Building a Platform for Data-Driven Pandemic Prediction: From Data Modelling to Visualisation - The CovidLP Project; Chapman & Hall/CRC Press
    Gerhard Dikta; Bootstrap Methods With Applications in R; Springer
    Gillard, Jonathan; A First Course in Statistical Inference; Springer
    Gilliland, Michael; Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning; Wiley
    Giné, Nickl; Mathematical Foundations of Infinite-Dimensional Statistical Models; Cambridge University Press
    Giraud, Christophe; Introduction to High-Dimensional Statistics; Chapman & Hall/CRC Press
    Glaz, Barry; Applied Statistics in Agricultural, Biological, and Environmental Sciences; Wiley
    Goad, Carla L.; SAS Programming for Elementary Statistics: Getting Started; Chapman and Hall/CRC Press
    Golden, Richard; Statistical Machine Learning: a Unified Framework; Chapman and Hall/CRC Press
    Grana, Dario; Seismic Reservoir Modeling: Theory, Examples, and Algorithms; Wiley
    Greselin, Francesca, Vichi, Maurizio, Deldossi, Laura, and Bagnato, Luca; Statistical Learning of Complex Data; Springer
    Grosser, Malte; Advanced R Solutions; Chapman & Hall/CRC Press
    Gupta, Bhisham C.; Statistical Quality Control: Using MINITAB, R, JMP and Python; Wiley
    Hans-Michael Kaltenbach; Statistical Design and Analysis of Biological Experiments; Springer
    Harrer, Mathias.; Doing Meta-Analysis with R: A Hands-On Guide; Chapman & Hall/CRC Press
    Harrison, Ewen; R for Health Data Science; Chapman and Hall/CRC Press
    He, Yulei; Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies;
    Hector, Andrew; The New Statistics with R; Oxford University Press
    Henderson, Peter A.; Southwood's Ecological Methods; Oxford University Press
    Hill, Craig A.; Big Data Meets Survey Science: A Collection of Innovative Methods; Wiley
    Hoerl, Roger W.; Statistical Thinking: Improving Business Performance, 3rd Edition; Wiley
    Hoffmann, John P.; Linear Regression Models: Applications in R; Chapman & Hall/CRC Press
    Huang, Shuai.; Data Analytics: A Small Data Approach; Chapman &Hall/CRC Press
    Huntington-Klein, Nick; The Effect: An Introduction to Research Design and Causality;
    Hvitfeldt, Emil; Supervised Machine Learning for Text Analysis in R;
    Iacus, Stefano M.; Subjective Well-Being and Social Media; Chapman & Hall/CRC Press
    Janusz L. Wywiał; Sampling Designs Dependent on Sample Parameters of Auxiliary Variables; Springer
    Junichiro Hagiwara; Time Series Analysis for the State-Space Model with R/Stan; Springer
    Katarzyna Filipiak; Multivariate, Multilinear and Mixed Linear Models; Springer
    Kenett, Ron S.; Modern Industrial Statistics: With Applications in R, MINITAB, and JMP, 3rd Edition; Wiley
    Kennedy, Ryan; Introduction to R for Social Scientists: A Tidy Programming Approach; Chapman &Hall/CRC Press
    Kim, Jae Kwang; Statistical Methods for Handling Incomplete Data;
    Kim, Kyung Mann; Handbook of Statistical Methods for Randomized Controlled Trials; Chapman & Hall/CRC Press
    Kirk, Andy; Data Visualisation: A Handbook for Data Driven Design, 2nd Edition; Sage
    Koroliouk, Dmitri.; Dynamics of Statistical Experiments; Wiley
    Krishna Kumar Mohbey; Predictive Analytics Using Statistics and Big Data: Concepts and Modeling; Bentham Publications.
    Krzysztof Jajuga; Data Analysis and Classification; Springer
    Kulas, John T.; IBM SPSS Essentials: Managing and Analyzing Social Sciences Data, 2nd Edition; Wiley
    Lawrence, Andy; Probability in Physics; Springer
    Lawson, John; An Introduction to Acceptance Sampling and SPC with R; Chapman and Hall/CRC Press
    Lê Cao, Kim-Anh; Multivariate Data Integration Using R: Methods and Applications with the mixOmics Package;
    Lee, Peter M.; Bayesian Statistics: An Introduction, 3rd Edition; Wiley
    Lee, Sang Joon; Methodologies in Biosimilar Product Development; Chapman & Hall/CRC Press
    Leemis, Larry; Mathematical Statistics; Taylor and Francis
    Leemis, Larry; Probability, 2nd Edition; Taylor and Francis 
    Li, Gang; Simultaneous Global New Drug Development: Multi-Regional Clinical Trials after ICH E17;
    Lighton, John R. B.; Measuring Metabolic Rates; Oxford University Press
    Limnios, Nikolaos.; Statistical Methods and Modeling of Seismogenesis; Wiley
    Lohr, Sharon L.; Sampling: Design and Analysis;
    Lohr, Sharon L.; SAS® Software Companion for Sampling: Design and Analysis, Third Edition;
    Longford, Nicholas T.; Statistics for Making Decisions; Chapman &Hall/CRC Press
    Lu, Yan; R Companion for Sampling: Design and Analysis, Third Edition;
    Lyubchich, Vyacheslav; Evaluating Climate Change Impacts; Chapman and Hall/CRC Press
    Makrides, Andreas; Data Analysis and Applications 3: Computational, Classification, Financial, Statistical and Stochastic Methods; Wiley
    Malinovskii, Vsevolod; Risk Measures and Insurance Solvency Benchmarks  Fixed-Probability Levels in Renewal Risk Models; Chapman & Hall
    Marron, J. S.; Object Oriented Data Analysis;
    Martin, Osvaldo A.; Bayesian Modeling and Computation in Python;
    Mavrakakis, Miltiadis C.; Probability and Statistical Inference: From Basic Principles to Advanced Models; Chapman &Hall/CRC Press
    McNulty, Keith.; Handbook of Regression Modeling in People Analytics: With Examples in R and Python; Chapman & Hall/CRC Press
    Meester, Slooten.; Probability and Forensic Evidence; Cambridge University Press
    Mehmetoglu, Mehmet.; Structural Equation Modelling with Partial Least Squares Using Stata and R; Chapman and Hall/CRC Press
    Michael Friendly.; A History of Data Visualization and Graphic Communication; Harvard University Press
    Michel, René, von Martens, Tobias, and Schnakenburg, Igor.; Targeting Uplift: an Introduction to Net Scores; Springer
    Mohbey, KK(ed).; Predictive Analytics Using Statistics and Big Data: Concepts and Modeling; Bentham Publications
    Morrison.; Uncertainty Analysis for Engineers and Scientists; Cambridge University Press
    Mueller, John Paul.; Data Science Programming All-in-One For Dummies; Wiley
    Mukhopadhyay, Nitis.; Gini Inequality Index: Methods and Applications; Chapman &Hall/CRC Press
    Murray, Dennis L.; Population Ecology in Practice; Wiley
    Myers, Chelsea.; Project-Based R Companion to Introductory Statistics; Chapman and Hall/CRC Press
    Nelson, Michael; Statistics in Nutrition and Dietetics; Wiley
    Nick Heard; An Introduction to Bayesian Inference, Methods and Computation; Springer
    Nicolas Bousquet; Extreme Value Theory with Applications to Natural Hazards; Springer
    Niewiadomska-Bugaj, Magdalena; Probability and Statistical Inference, 3rd Edition; Wiley
    Nina Engelhardt; Modernism, Fiction and Mathematics; Edinburgh University Press
    Nishiyama, Yoichi; Martingale Methods in Statistics;
    Oakland, John S., Oakland, Robert J. and Turner, Michael A.; Total Quality Management and Operational Excellence: Text with Cases, 5th edn; Routledge
    Oliveira, A. Gouveia.; Biostatistics Decoded, 2nd Edition; Wiley
    Osborne, Richard; Music by Numbers: The Use and Abuse of Statistics in the Music Industry; Wiley
    Paradis, Emmanuel; Population Genomics with R; Chapman and Hall/CRC Press
    Paulo Cortez; Modern Optimization with R; Springer
    Pav, Steven E.; The Sharpe Ratio: Statistics and Applications; Chapman & Hall/CRC Press
    Peña, Daniel; Statistical Learning for Big Dependent Data; Wiley
    Peng, Shige; Nonlinear Expectations and Stochastic Calculus under Uncertainty; Springer
    Peng, Yingwei; Cure Models: Methods, Applications, and Implementation; Chapman and Hall/CRC Press
    Petchey, Owen L.; Beckerman, Andrew P.; Cooper, Natalie; Childs, Dylan Z.; Insights from Data with R; Oxford University Press
    Peter Filzmoser; Advances in Compositional Data Analysis; Springer
    Popov.; Two-Dimensional Random Walk; Cambridge University Press
    Pradhan, Vivek; Confidence Intervals for Discrete Data in Clinical Research;
    Prado, Raquel; Time Series: Modeling, Computation, and Inference, Second Edition; Chapman & Hall/CRC Press
    Proschan, Michael A.; Statistical Thinking in Clinical Trials;
    Prügel-Bennett, Adam; The Probability Companion for Engineering and Computer Science; Cambridge University Press
    Quirk, Thomas J.; Excel 2019 for Engineering Statistics; Springer
    Rabbee, Nusrat; Biomarker Analysis in Clinical Trials with R;
    Rausand, Marvin; Risk Assessment: Theory, Methods, and Applications, 2nd Edition; Wiley
    Rausand, Marvin; System Reliability Theory: Models, Statistical Methods, and Applications, 3rd Edition; Wiley
    Ravishanker, Nalini; A First Course in Linear Model Theory;
    Rhinehart, R. Russell; Applied Engineering Statistics;
    Roberto Rivera; Principles of Managerial Statistics and Data Science; Wiley
    Rosner, Gary L.; Bayesian Thinking in Biostatistics; Chapman &Hall/CRC Press
    Saiyidi Mat Roni; Data Analysis with SPSS for Survey-based Research; Springer
    Salcedo, Jesus.; SPSS Statistics For Dummies, 4th Edition; Wiley
    Scheps, Swain; Sports Betting For Dummies; Wiley
    Schouten, Barry; Mixed-Mode Official Surveys: Design and Analysis; Chapman & Hall/CRC Press
    Scott, David W.; Statistics: A Concise Mathematical Introduction for Students, Scientists, and Engineers; Wiley
    Scutari, Marco; Bayesian Networks: With Examples in R; Chapman & Hall/CRC Press
    Seen, Stephen S.; Statistical Issues in Drug Development; Wiley
    Sethna, James P.; Statistical Mechanics: Entropy, Order Parameters, and Complexity; Oxford University Press
    Shih, Weichung Joe; Statistical Design, Monitoring, and Analysis of Clinical Trials: Principles and Methods;
    Sijtsma, Klaas.; Measurement Models for Psychological Attributes; Chapman and Hall/CRC Press
    Somnath Datta; Statistical Analysis of Microbiome Data; Springer
    Speegle, Darrin; Probability, Statistics, and Data: A Fresh Approach Using R;
    Tadesse, Mahlet; Handbook of Bayesian Variable Selection;
    Tamhane, Ajit C.; Predictive Analytics: Parametric Models for Regression and Classification Using R; Wiley
    Tartakovsky, Alexander; Sequential Change Detection and Hypothesis Testing; Chapman and Hall/CRC Press
    Thomas J. Quirk; Excel 2019 for Environmental Sciences Statistics; Springer
    Thomas J. Quirk; Excel 2019 for Marketing Statistics; Springer
    Thornett Michael; Mean Likelihood Theory; Self publication
    Tille, Yves; Sampling and Estimation from Finite Populations; Wiley
    Tony Pourmohamad; Bayesian Optimization with Application to Computer Experiments; Springer
    Urdinez, Francisco; R for Political Data Science: A Practical Guide; Chapman and Hall/CRC Press
    Walden, Andrew T. and Percival, Donald B.; Spectral Analysis for Univariate Time Series; Cambridge University Press                
    Wang, William; Quantitative Methodologies and Process for Safety Monitoring and Ongoing Benefit Risk Evaluation;
    Wenhui Mo.; Reliability Calculations with the Stochastic Finite Element; Bentham Publications.
    Whitmore, Nathan; R for Conservation and Development Projects: A Primer for Practitioners; Chapman and Hall/CRC Press
    Wiedermann, Wolfgang; Direction Dependence in Statistical Modeling: Methods of Analysis; Wiley
    Wu, Jianrong; Single-Arm Phase II Survival Trial Design; Chapman & Hall/CRC Press
    Yi, Grace Y.; Handbook of Measurement Error Models; Chapman & Hall/CRC Press
    Zakeri, Saeed; A Course in Complex Analysis; Princeton University Press
    Zhang, Hongmei; Analyzing High-Dimensional Gene Expression and DNA Methylation Data with R; Chapman and Hall/CRC Press
    Zhang, Li-Chun; Graph Sampling;
    Zhao, Yan-Gang.; Structural Reliability: Approaches from Perspectives of Statistical Moments; Wiley
    Zuccolotto, Paola; Basketball Data Science: with Applications in R; Chapman and Hall/CRC Press
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Last updated 25 September 2020.