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Fills a void in the literature for how to do PCA and CA with R, a wildly popular and open source software All analyses u......more
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This book provides a comprehensive reference for solving scientific problems with the generalized linear geostatistical ......more
Condensed and reorganized, this comprehensive second edition covers most of the statistical methods used in the field an......more
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Data science is a fast-emerging field of study and research. It mainly leverages integrated data analytics platforms, an......more
Data science is a fast-emerging field of study and research. It mainly leverages integrated data analytics platforms, an......more
The purpose of the book is to present the Malliavin-Skorohod calculus for additive processes, that is, processes with in......more
Welcome to the first book to explore the powerful tools within Power BI that can enhance and improve your analytical dat......more
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This second edition has a unique approach that provides a broad and wide introduction into the fascinating area of proba......more
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This unique book presents a broad range of data on geometry and topology of long-distance liquid transport networks in n......more
Stochastic analysis is a complex field, and this book aims to provide a detailed coverage of it. The book is intended to......more
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An introduction to a new paradigm in social, technological, and scientific discourse, this book presents an overview of ......more
This book provides an introduction to the theoretical development and practical methodology of the so-called science-bas......more
The book will cover a range of cases where statistical analyses helped document human rights problems, determine the val......more
This book focuses on current research and methodologies developed for re-engineering cancer clinical trials and also for......more
This book illustrates how the choice of relevant data collection and data analysis techniques is critical for a sound an......more
This text focuses on the parts of stochastic theory that are particularly relevant to applications. It begins with a des......more
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The book is devoted to contemporary variance reduction methods for Monte Carlo and Markov Chain (MCMC) with Machine Lear......more
Why are there more poor people with small bank accounts than rich people with big bank accounts? Why are there more smal......more
Why are there more poor people with small bank accounts than rich people with big bank accounts? Why are there more smal......more
Produce statistical summaries, visualizations of your data, and more with the new edition of this beginner-friendly guid......more
It remains very difficult to find books appropriate for teaching Bayesian methods to science graduate students. This boo......more
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There are many methods for multiple testing adjustment and questions arise concerning when they should be used and how t......more
This companion volume to Artificial Intelligence for Everyone offers a comprehensive exploration of AI analytics, cateri......more
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Taking a very practical, hand-on approach, this book introduces the use of Monte Carlo methods for solving practical pro......more
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There is an increasing prevalence of large and complex datasets within the social sciences, and notably criminology in r......more
A "fascinating, witty, and perspective-shifting" (Oliver Burkeman, New York Times bestselling author) tour of Bayes’s th......more
Recent breakthroughs in volatility modelling have brought fractional stochastic calculus to a groundbreaking position. R......more
Be prepared for exam day with Barron’s. Trusted content from AP experts! Barron’s AP Statistics Premium, 2026 includes i......more
This is a thoroughly revised and updated edition of the earlier research monograph Topics in Circular Statistics by the ......more
This book is the result of a collaboration between researchers from occupant behaviour and statistical modelling. It pre......more
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A fully updated and expanded edition of the essential primer on Bayesian modeling for ecologists Uniquely suited to deal......more
An accessible guide to understanding statistics using simulations, with examples from a range of scientific disciplines ......more
An accessible guide to understanding statistics using simulations, with examples from a range of scientific disciplines ......more
This book offers an extensive exploration of foundation models, guiding readers through the essential concepts and advan......more
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A practical guide to reproducible and high impact mass spectrometry data analysis R Programming for Mass Spectrometry te......more
This book, a follow-up of Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis where the......more
This book introduces the principles and foundations of advanced statistical methods for designing experiments and testin......more
This book introduces the principles and foundations of advanced statistical methods for designing experiments and testin......more
This professional book is one of the first German-language publications to provide a comprehensive overview of how artif......more
Over the last 30 years the practice and use of game theory has changed dramatically, yet textbooks continue to present g......more
This book presents some new models and methods in the context of dynamical portfolio optimization. It encapsulates the a......more
This book introduces a novel paradigm for machine learning and data mining called predictive clustering, which covers a ......more
Untangle statistics and make correct, dependable conclusions Psychology Statistics For Dummies, 2nd Edition makes statis......more
The Effect: An Introduction to Research Design and Causality is about research design, specifically concerning research ......more
The Effect: An Introduction to Research Design and Causality is about research design, specifically concerning research ......more
Inferring latent structure and causality is crucial for understanding underlying patterns and relationships hidden in th......more
This book proposes some novel models based on the autoregressive and moving average structures under various distributio......more
In applications of stochastic calculus, there are phenomena that cannot be analyzed through the classical Itô theory. It......more
In applications of stochastic calculus, there are phenomena that cannot be analyzed through the classical Itô theory. It......more
Students cultivate learning techniques in school that emphasize procedural problem solving and rote memorization. This l......more
Students cultivate learning techniques in school that emphasize procedural problem solving and rote memorization. This l......more
The book presents a general mathematical framework able to detect and to characterize, from a morphological and statisti......more
Due to the popularity of artificial intelligence today, scientists and practitioners tend to ignore the achievements of ......more
This book is a guide to statistical genetics analyses with R. The focus will be on conveying concepts and theories, whil......more
Single volume reference on using various aspects of data science to evaluate, understand, and solve business problems A ......more
In today’s healthcare landscape, there is a pressing need for quantitative methodologies that include the patients’ pers......more
In today’s healthcare landscape, there is a pressing need for quantitative methodologies that include the patients’ pers......more
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