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