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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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Emphasizing the need for knowledge of modern finance theory in portfolio management, this text explains why theory shoul......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 Springer Handbook gathers the broad mix of theoretical and applied reliability knowledge needed for engineers, anal......more
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
Produce statistical summaries, visualizations of your data, and more with the new edition of this beginner-friendly guid......more
Statistical Methods in Diagnostic Medicine provides a comprehensive account of statistical methods for the design and an......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
How the rich and powerful use math to exploit you, and what you can do to beat them at their own game Everything we do t......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
Taking a very practical, hand-on approach, this book introduces the use of Monte Carlo methods for solving practical pro......more
This book presents some new models and methods in the context of dynamical portfolio optimization. It encapsulates the a......more
The first two themes are refined, updated presentations of ideas introduced in the author’s earlier works, The Search fo......more
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 book is the result of a collaboration between researchers from occupant behaviour and statistical modelling. It pre......more
This extensive revision of the 2007 book ’Random Graph Dynamics, ’ covering the current state of mathematical research i......more
This is a thoroughly revised and updated edition of the earlier research monograph Topics in Circular Statistics by the ......more
This book offers the theory of causal analysis and its applications. The authors have developed this book in relation it......more
This book delves into scalable Bayesian statistical methods designed to tackle the challenges posed by big data. It expl......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
If you know how to program, you have the skills to turn data into knowledge, using the tools of probability and statisti......more
This book offers an extensive exploration of foundation models, guiding readers through the essential concepts and advan......more
Untangle statistics and make correct, dependable conclusions Psychology Statistics For Dummies, 2nd Edition makes statis......more
R Companion to Epidemiology: Study Design and Data Analysis is a companion volume to the classic textbook by Mark Woodwa......more
R Companion to Epidemiology: Study Design and Data Analysis is a companion volume to the classic textbook by Mark Woodwa......more
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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
As the pharmaceutical industry navigates this new era of technological innovation, the integration of AI, big data, and ......more
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 professional book is one of the first book publications providing a comprehensive overview of how artificial intell......more
Over the last 30 years the practice and use of game theory has changed dramatically, yet textbooks continue to present g......more
Nonregular factorial designs are a class of factorial designs that enable researchers to study simultaneously the effect......more
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