This book provides a thorough understanding of distribution theory and data analysis using statistical software to solve......more

This book deals with two main topics. The first is a theory that aims to unify the many interpretations of probability p......more

Robust statistics is the study of designing estimators that perform well even when the dataset significantly deviates fr......more

This book covers an extensive class of models involving inhomogeneous Poisson processes and deals with their identificat......more

This book presents the foundations of using analytics from the laboratory, social media platforms, and the web. The auth......more

Successfully navigating the data-driven economy presupposes a certain understanding of the technologies and methods to g......more

Stochastic elasticity is a fast developing field that combines nonlinear elasticity and stochastic theories in order to ......more

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Patents and other intellectual property (IP) rights are increasingly part of cross-border trade in their own rights. Pat......more

Basic Gambling Mathematics: The Numbers Behind the Neon, Second Edition explains the mathematics involved in analyzing g......more

R for Quantitative Chemistry is an exploration of how the R language can be applied to a wide variety of problems in wha......more

Basic Gambling Mathematics: The Numbers Behind the Neon, Second Edition explains the mathematics involved in analyzing g......more

Make data-driven, informed decisions and enhance your statistical expertise in Python by turning raw data into meaningfu......more

This book illustrates a number of asymptotic and analytic approaches applied for the study of random evolutionary system......more

This book delivers a user guide reference for researchers seeking to build their capabilities in conducting discrete cho......more

More data has been produced in the 21st century than all of human history combined. Yet, are we making better decisions ......more

Bayesian Nonparametrics for Causal Inference and Missing Data provides an overview of flexible Bayesian nonparametric (B......more

M-STATISTICS A comprehensive resource providing new statistical methodologies and demonstrating how new approaches work ......more

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This edited book is the first one written in English that deals comprehensively with behavior metrics. The term "behavio......more

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This open access book offers an introduction to mixed generalized linear models with applications to the biological scie......more

This is the first technical book that considers tests as public tools and examines how to engineer and process test data......more

This book introduces the reader to data science using R and the tidyverse. No prerequisite knowledge is needed in colleg......more

This book introduces ecologists to the wonderful world of modern tools for data analysis, especially multivariate analys......more

Learn how to use the large-scale natural language processing model developed by OpenAI: ChatGPT. This book explains how ......more

R for Quantitative Chemistry is an exploration of how the R language can be applied to a wide variety of problems in wha......more

Use JSON theme files to standardize the look of Power BI dashboards and reports. This book shows how you can create them......more

This book constitutes the proceedings of the 25th International Conference on Big Data Analytics and Knowledge Discovery......more

This book presents an introduction to the main concepts of statistical physics, followed by applications to specific pro......more

Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools ar......more

Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools ar......more

An award-winning history of the Enlightenment quest to devise a mathematical model of rationality What did it mean to be......more

This book develops alternative methods to estimate the unknown parameters in stochastic volatility models, offering a ne......more

This book presents the latest developments in the theory of gradient flows in random walk spaces. A broad framework is e......more

This volume presents extensive research devoted to a broad spectrum of mathematics with emphasis on interdisciplinary as......more

This book provides a general framework for learning sparse graphical models with conditional independence tests. It incl......more

Bayesian analysis is one of the important tools for statistical modelling and inference. Bayesian frameworks and methods......more

This book is intended for anyone who is considering a career in statistics or a related field, or those at any point in ......more

This book focuses on research in linear algebra, statistics, matrices, graphs and their applications. Many chapters in t......more

This book extends the local central limit theorem to Markov chains whose state spaces and transition probabilities are a......more

This monograph studies a series of mathematical models of the evolution of a population under mutation and selection. It......more

Completely updated, this new edition uniquely explains how to assess and handle technical risk, schedule risk, and cost ......more

This book constitutes the proceedings of First International Workshop, TML4H 2023, held virtually, in May 2023. The 16 f......more

Regularization in machine learning is the wheel that assists deployment in production. This book not only provides tools......more

The book equips students with the end-to-end skills needed to do data science. That means gathering, cleaning, preparing......more

This book covers the main models within the GLM (i.e., logistic, Poisson, negative binomial, ordinal, and multinomial). ......more

This book covers the main models within the GLM (i.e., logistic, Poisson, negative binomial, ordinal, and multinomial). ......more

This book will introduce digital humanists at all levels of education to Python. It provides background and guidance on ......more

Planning and reporting solutions in many companies still suffer from poor data quality, are insufficiently integrated an......more

This book focuses on methods and models in classification and data analysis and presents real-world applications at the ......more

In an age when electronic health records (EHRs) are an increasingly important source of data, this essential textbook pr......more

In an age when electronic health records (EHRs) are an increasingly important source of data, this essential textbook pr......more

Single-Arm Phase II Survival Trial Design provides a comprehensive summary to the most commonly- used methods for single......more

This book is a concise introduction to the stochastic calculus of variations for processes with jumps. The author provid......more

Statistical inference is a powerful tool for understanding data, and this book provides a clear and accessible introduct......more

Gain a strong foundation in statistics with Claire Holly Fryer’s introductory text. From probability theory to hypothesi......more

Statistical inference is a powerful tool for understanding data, and this book provides a clear and accessible introduct......more

This comprehensive and accessible book covers all the basic statistical methods necessary for undergraduate and postgrad......more

This classic text by H. L. Rietz offers an introduction to mathematical statistics. First published in 1933, the book co......more

This comprehensive and accessible book covers all the basic statistical methods necessary for undergraduate and postgrad......more

The computational models of physical systems comprise parameters, independent and dependent variables. Since the physica......more

The book offers many ideas based on the artificial intelligence techniques, fueled by digital technologies that can be i......more

A classic text on the theory and practice of sampling methods in statistics. This book covers the fundamental principles......more

This book offers a comprehensive analysis of the behavior of sums of lognormal random variables. The authors explore the......more

This classic work provides an introduction to the theory of probability and the nature of errors. The text covers topics......more

This advanced mathematical text provides a rigorous treatment of the theory of mixtures of distributions. Drawing on a v......more

A classic text in the field of econometrics, ’Linear Regression Diagnostics’ offers a comprehensive and authoritative gu......more

Phelps presents a thorough analysis of the factors contributing to infant mortality rates in this seminal work of public......more

In this book, Harold Ordway Rugg explores the use of statistical methods in education. His clear and concise explanation......more

This book provides an essential guide to statistical analysis, with a focus on practical applications in a variety of fi......more

This book contains tables of the incomplete gamma-function computed by the staff of the Department of Applied Statistics......more

This book provides a comprehensive overview of the latest approaches to measuring business performance and the methods u......more

This book provides a detailed analysis of the accuracy of forecasts made by individual analysts across nine different in......more

This book presents fluid and diffusion approximations of a two-station mixed queueing network. The book provides an in-d......more