Books and media reviews


The following items are currently available. There is no fee but the reviewer keeps the book, except when publishers make an ebook available for limited time.

Please contact the reviews editor Kuldeep Kumar (kkumar@bond.edu.au) to request an item.

  • Books available
    Aarons, Haydn; A Practical Introduction to Survey Design; Sage Publishing
    Achen, Christopher H.; The Statistical Analysis of Quasi-Experiments, First Edition; Wiley
    Adams, Christopher P.; Learning Microeconometrics with R; Chapman and Hall/CRC Press
    Akashi, Fumiya; Diagnostic Methods in Time Series; Springer
    Almudevar, Anthony; Theory of Statistical Inference;
    Al-Murrani, Waleed ; General, Biological and Biomedical Statistics; Troubador Publishing
    Anderson, Raymond​; Credit Intelligence and Modelling: Many Paths through the Forest of Credit Rating and Scoring; Oxford University Press
    Armstrong, David A.; Presenting Statistical Results Effectively; Sage Publishing
    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
    Beuzen, Tomas; Python Packages; Chapman & Hall/CRC Press
    Bolla, Marianna.; Multidimensional Stationary Time Series: Dimension Reduction and Prediction; Chapman &Hall/CRC Press
    Bose, Arup; Random Matrices and Non-Commutative Probability;
    Bousquet, Nicolas ; Extreme Value Theory with Applications to Natural Hazards; Springer
    Braun, Murdoch.; A First Course in Statistical Programming with R; Cambridge University Press
    Brémaud, Pierre; Probability Theory and Stochastic Processes; Springer
    Brookfield, Charlotte; Using Microsoft Excel for Social Research; Sage Publishing
    Broström, Göran; Event History Analysis 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
    Cartensen, Bendix; Epidemiology with R; Oxford University Press
    Chen, Hua Yun; Semiparametric Odds Ratio Model and Its Applications;
    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
    Comber, Lex ; Geographical Data Science and Spatial Data Analysis; Sage Publishing
    Coqueret, Guillaume; Perspectives in Sustainable Equity Investing;
    Cortez, Paulo; Modern Optimization with R; Springer
    Cui, Xinping; Handbook of Multiple Comparisons;
    Dai, Harrison.; Processing Networks; Cambridge University Press
    Davidson, James; Stochastic Limit Theory An Introduction for Econometricians; Oxford University Press
    De Brouwer, Philippe J. S.; The Big R-Book: From Data Science to Learning Machines and Big Data; Wiley
    De Uña-Álvarez, Jacobo; The Statistical Analysis of Doubly Truncated Data: With Applications in R; Wiley
    Debowski, Lukasz.; Information Theory Meets Power Laws: Stochastic Processes and Language Models; Wiley
    Denis, Daniel J.; Applied Univariate, Bivariate, and Multivariate Statistics Using Python: A Beginner's Guide to Advanced Data Analysis; Wiley
    DeVellis, Robert F.  ; Scale Development: Theory and Applications; Sage Publishing
    Dikta, Gerhard; Bootstrap Methods With Applications in R; Springer
    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
    Dinov, Evo; Data Science – Time Complexity, Inferential Uncertainty, and Spacekime Analytics; De Gruyter
    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
    Engelhardt, Nina; Modernism, Fiction and Mathematics; Edinburgh University Press
    Essington, Timothy; Introduction to Quantitative Ecology: Mathematical and Statistical Modelling for Beginners; Oxford University Press
    Faraway, Julian J.; Linear Models with Python; Chapman and Hall/CRC Press
    Filipiak, Katarzyna; Multivariate, Multilinear and Mixed Linear Models; Springer
    Finch, Holmes; Applied Regularization Methods for the Social Sciences; 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
    Fraser, Christophe; Grassly, Nicholas C.; Infectious Disease Epidemiology; Oxford University Press
    Friendly, Michael; A History of Data Visualization and Graphic Communication; Harvard University Press
    Gamerman, Dani; Building a Platform for Data-Driven Pandemic Prediction: From Data Modelling to Visualisation - The CovidLP Project; Chapman & Hall/CRC Press
    Garcia Ceja, Enrique; Behavior Analysis with Machine Learning Using R;
    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
    Gorard, Stephen; How to Make Sense of Statistics; Sage Publishing
    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
    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
    Hagiwara, Junichiro; Time Series Analysis for the State-Space Model with R/Stan; Springer
    Heard, Nick; An Introduction to Bayesian Inference, Methods and Computation; Springer
    Hector, Andrew; The New Statistics with R; Oxford University Press
    Hector Andy; The New Statistics with R An Introduction for Biologists; Oxford University Press
    Helsper, Ellen; The Digital Disconnect; Sage Publishing
    Hesamian, Gholamreza; Fuzzy Statistical Inferences Based on Fuzzy Random Variables; Chapman & Hall/CRC 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
    Hirschauer, Norbert ; “Fundamentals of Statistical Inference – What is the Meaning of Random Error” that will be published  in the “SpringerBriefs in Applied Statistics and Econometrics” (SBASE), ; Springer Briefs (SBASE)                              
    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; Chapman & Hall/CRC Press
    Jansen, Maarten; Wavelets from a Statistical Perspective; Chapman & Hall/CRC Press
    Johnson, Alicia A.; Bayes Rules!: An Introduction to Applied Bayesian Modeling; Chapman & Hall/CRC Press
    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
    Korosteleva, Olga; Stochastic Processes with R: An Introduction; Chapman & Hall/CRC Press
    Krishna Kumar Mohbey; Predictive Analytics Using Statistics and Big Data: Concepts and Modeling; Bentham Publications.
    Kronthaler, Franz; Data Analysis with RStudio; Springer
    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
    Leemis, Larry; Learning Base R Second Edition
    Li, Gang; Simultaneous Global New Drug Development: Multi-Regional Clinical Trials after ICH E17;
    Li, Jin; Spatial Predictive Modelling with R; Chapman & Hall/CRC Press
    Lighton, John R. B.; Measuring Metabolic Rates; Oxford University Press
    Limnios, Nikolaos.; Statistical Methods and Modeling of Seismogenesis; Wiley
    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
    Martens, David; Data Science Ethics Concepts, Techniques, and Cautionary Tales; Oxford University Press
    Mateu, Jorge; Geostatistical Functional Data Analysis; Wiley
    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
    McLevey, John; Doing Computational Social Science; Sage Publishing
    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
    Michel, René, von Martens, Tobias, and Schnakenburg, Igor.; Targeting Uplift: an Introduction to Net Scores; Springer
    Mo, Wenhui; Reliability Calculations with the Stochastic Finite Element; Bentham Publications.
    Mohbey, KK(ed).; Predictive Analytics Using Statistics and Big Data: Concepts and Modeling; Bentham Publications
    Monaghan, Lee; Key Concepts in Medical Sociology; Sage Publishing
    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
    Niewiadomska-Bugaj, Magdalena; Probability and Statistical Inference, 3rd Edition; Wiley
    Nishiyama, Yoichi; Martingale Methods in Statistics;
    Nolan, Deborah; Communicating with Data: The Art of Writing for Data Science; Oxford University Press
    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
    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
    Pradhan, Vivek; Confidence Intervals for Discrete Data in Clinical Research;
    Pourmohamad, Tony ; Bayesian Optimization with Application to Computer Experiments; Springer
    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
    Quirk, Thomas J. ; Excel 2019 for Environmental Sciences Statistics; Springer
    Quirk, Thomas J.; Excel 2019 for Marketing 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;
    Rivera, Roberto ; Principles of Managerial Statistics and Data Science; Wiley
    Roos, J. Micah; Confirmatory Factor Analysis; Sage Publishing
    Sahu, Sujit; Bayesian Modeling of Spatio-Temporal Data with R; 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
    Sarka, Dejan; Advanced Analytics with Transact-SQL; Springer
    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
    Seif El-Nasr, Magy ; Game Data Science; Oxford University Press
    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
    Taback, Nathan; Design and Analysis of Experiments and Observational Studies using R; Chapman & Hall/CRC Press
    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, Amos Owen; Shadow Trades-The Dark Side of Global Business; Sage Publishing
    Thompson Klein, Julie; Beyond Interdisciplinarity; Oxford University Press
    Thornett, Michael; Mean Likelihood Theory; Self publication
    Tille, Yves; Sampling and Estimation from Finite Populations; Wiley
    Touchon, Justin; Applied Statistics with R: A Practical Guide for the Life Sciences; Oxford University Press
    Trivedy, Kelly; Little Quick Fix: Plan Your Research Project; Sage Publishing
    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  
    Walters, Lee; Conditionals, Paradox, and Probability: Themes from the Philosophy of Dorothy Edgington; Oxford University Press
    Wang, You-Gan; Analysis of Longitudinal Data with Examples; Chapman & Hall/CRC Press              
    Wang, William; Quantitative Methodologies and Process for Safety Monitoring and Ongoing Benefit Risk Evaluation;
    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
    Wywiał, Janusz L. ; Sampling Designs Dependent on Sample Parameters of Auxiliary Variables; Springer
    Xiong, Momiao; Artificial Intelligence and Causal Inference; Chapman & Hall/CRC Press
    Yi, Grace Y.; Handbook of Measurement Error Models; Chapman & Hall/CRC Press
    Yu, Qingzhao; Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS; 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 November 2021.