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