Probability and statistics Books

Transform your approach to digital defense by discovering the profound beauty in scientific principles that govern modern security.In an era where cyber threats evolve exponentially while defenses...

An Introductory Guide to Quantitative Data Analysis and Interpretation using SPSS 30 is a comprehensive guide to quantitative analysis. It integrates knowledge of research methods, data analysis, and...

This book contains hundreds of engaging, class-tested finance exercises (and detailed solutions) that test student understanding of the material. Many are educational in their own right—for example,...

Free Random Variables: Free Distributions Dictated by the Semicircular Law is particularly concerned with operators which are not self-adjoint, but whose free distributions are dictated by the...

Highlighting critical issues surrounding network infrastructures, this book offers innovative methods and parameters for modelling, analysing, enhancing reliability and safety, and addressing...

Through the lens of critical thinking and creative analogy, this book skillfully blends mainstream perspectives with bold, thought-provoking personal insights, offering readers a fresh and engaging...

This book is an invaluable resource for all researchers interested in understanding practical applications of longitudinal regression methods. This book aims to equip readers with practical...

At last, a tic-tac-toe computer that needs no electrical power! Tic Tac Test: Beat the Book at Noughts and Crosses is an interactive book that will test your logic skills. The computer will sometimes...

Traditional approaches focused on significance tests have often been difficult for linguistics researchers to visualise. Statistics in Corpus Linguistics Research: A New Approach breaks significance...

Transform your approach to digital defense by discovering the profound beauty in scientific principles that govern modern security.In an era where cyber threats evolve exponentially while defenses...

This book is an introduction to Python for intermediate learners. It allows readers to take a slow and steady approach to building upon their understanding of Python code. While there are many books,...

The field of time series analysis has undergone a remarkable transformation since the publication of the seventh edition of this book. While classical statistical models such as autoregressive...

In Statistics as Principled Argument, first published in 1995, Robert P. Abelson exposes the often-overlooked problems in quantitative data interpretation, and the challenge of presenting the data in...

Every Coin Has Two Sides: An Introduction to Causal Inference in Pharmaceutical Statistics introduces basic and advanced statistical inference methods and causal inference methods relevant to...

This book is an engaging and insightful exploration of cause-and-effect relationships in clinical research. It begins with the foundational principles of causal inference, traces the historical...

This book explores the mathematics behind the casino game of blackjack or 21, with consideration given to a number of game variations that have, at times, found favor in casinos or in casual play...

The book contains hundreds of engaging, class-tested statistics exercises (and detailed solutions) that test students’ understanding of the material. Many are educational in their own right—for...

Uncertainty is a part of every decision we make, from the everyday to the high-stakes, from personal choices to professional strategy. The Art of Making Decisions Under Uncertainty offers a clear,...

Mathematical Foundations of Blockchains is a two-volume work on blockchains. Blockchain is a novel paradigm for a distributed ledger. Volume 1 is on the fundamentals of blockchains and consists of an...

This book is an introduction to Python for intermediate learners. It allows readers to take a slow and steady approach to building upon their understanding of Python code. While there are many books,...

This book is a concise, beginner's introduction to medical research written for biomedical researchers, medical students, young faculty and clinicians who would like a readable guide to the research...

The field of time series analysis has undergone a remarkable transformation since the publication of the seventh edition of this book. While classical statistical models such as autoregressive...

Markov Processes provides a bridge from an undergraduate probability course to a course in stochastic processes. The text is designed to be understandable to students who have taken an undergraduate...

This book is intended to equip the reader with concept knowledge on multilinear regression methods, and develop technical skills while solving problems with the R programming language. The goal is...

Practical Probability and Reliability Methods for Civil and Environmental Engineering sets out useful probabilistic methods and their efficient implementations across civil engineering, including...

This book provides an overview of AI’s historical development while understanding the cultural and scientific foundations that make today’s AI possible. Through easy-to-understand explanations of...

This book discusses the multifaceted nature of organizational excellence and proceeds to consider the roles played by data, technological advances leading to innovation and value-based leadership in...

In The Mind of Complex Numbers and the Subject in Analyses, Raul Moncayo uses the complex plane to evaluate analytic outcomes. Moncayo’s approach provides a study of the process and outcomes of...

Uncertainty is a part of every decision we make, from the everyday to the high-stakes, from personal choices to professional strategy. The Art of Making Decisions Under Uncertainty offers a clear,...

Today, more than ever, Department Chairs need to be equipped with strategies to lead their departments to success in research. The Strategic Department Chair: Leading for Academic Research Success...

Statistics in Survey Sampling offers a comprehensive and rigorous introduction to the principles and practices of survey sampling. Bridging the gap between statistical theory and real-world data...

Borel Games are multiplayer games with infinite horizon and general payoff functions. These types of games, first introduced by Gale and Stewart (1953), were studied within descriptive set theory in...

Today, more than ever, Department Chairs need to be equipped with strategies to lead their departments to success in research. The Strategic Department Chair: Leading for Academic Research Success...

This book is a comprehensive guide to exploratory data analysis (EDA), providing readers with the tools, techniques, and knowledge needed to conduct effective and thorough data exploration...

Convex Analysis in Polynomial Spaces with Applications is intended to serve a broad audience of undergraduate and graduate students, junior and senior researchers, and as a general self-study guide...

Since the publication of the second edition of Richard Plant’s bestselling textbook Spatial Data Analysis in Ecology and Agriculture Using R, the methodology of spatial data analysis and the suite of...

Bridging feminist theory and cutting-edge statistics, this book introduces multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) and expands it into a contextual...

Complex systems—characterized by self-organization, emergence, and profound non-linearity—govern everything from global financial markets to ecological stability. Navigating this complexity requires...

Pattern Theory is a groundbreaking exploration of the concept of pattern across a range of disciplines, including science, neuroscience, psychology, and social sciences.This book examines the meaning...

The volume explores a wide-range of applications of computer vision in the field of healthcare. Computer vision, an interdisciplinary field that combines image processing, pattern recognition, and...

Designed Experiments for Science and Engineering is a versatile and overarching toolkit that explores various methods of designing experiments for over 20 disciplines in science and engineering...

This textbook for advanced undergraduate and graduate students provides a clear and practical guide to the principles and methods for structuring and solving complex problems that include multiple,...

This book presents a practical approach for researchers seeking to analyse patient data over time. It serves as a comprehensive guide, utilising the R programming language to analyse complex datasets...

Statistical mechanics provides a framework for relating the properties of macroscopic systems (large collections of atoms, such as in a solid) to the microscopic properties of its parts. However,...

This book aims to serve as a comprehensive resource that equips readers with the knowledge and practical skills needed to navigate the intricacies of fuzzy set theory, t-norms, and their integration...

This book provides a comprehensive exploration of generalization in deep learning, focusing on both theoretical foundations and practical strategies. It delves deeply into how machine learning...

The book is a unique blend of quantitative research and statistical analysis using R. Lucidly written, it covers a range of statistical techniques applicable to cross-sectional data in the backdrop...

This book is a concise hands-on guide that provides students a useful tool for a systematic approach to scientific inquiry.Science Theory for Engineers and Physicists provides a basic understanding...