Thistextbook is devoted to the general asymptotic theory of statistical experiments. Local asymptotics for statistical models in the sense of local asymptotic (mixed) normality or local asymptotic quadraticity make up the core of the book. Numerous examples deal with classical i…
"Richly illustrated in color, Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition provides a clear and rigorous description of powerful analysis techniques and algorithms for mining and interpreting biological information. Omitting tedious detai…
"The purpose of this handbook is to provide an accessible and comprehensive compendium of Monte Carlo techniques and related topics. It contains a mix of theory (summarized), algorithms (pseudo and actual), and applications. Since the audience is broad, the theory is kept to a m…
"The purpose of this handbook is to provide an accessible and comprehensive compendium of Monte Carlo techniques and related topics. It contains a mix of theory (summarized), algorithms (pseudo and actual), and applications. Since the audience is broad, the theory is kept to a m…
Dig deep into the data with a hands-on guide to machine learning Machine Learning: Hands-On for Developers and Technical Professionals provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical …
"The rising star and face of the new field "science of the individual" draws from the latest psychological and sociological research to show that success is found in individual strengths and weaknesses that don't fit along any average curve--a powerful manifesto for change in th…
Stochastic processes occur in a large number of fields in sciences and engineering, so they need to be understood by applied mathematicians, engineers and scientists alike. This work is ideal for a first course introducing the reader gently to the subject matter of stochastic pr…
"An eye-opening and engrossing look at rare moments, why they occur, and how they shape our world In The Improbability Principle, the renowned statistician David J. Hand unveils his groundbreaking argument that extraordinarily rare events are in fact commonplace. Weaving togethe…
"This book aims to provide a broad introduction to computational aspects of actuarial science, in the R environment. We assume that the reader is either learning, or is familiar with actuarial science. It can be seen as a companion to standard textbooks on actuarial science. Thi…
"This book focuses on the fundamental principles behind scientific methods. The author uses concrete examples and illustrations to introduce and explain principles. He also uses analogies to connect different methods or problems to arrive at a general principle or common notion.…
1001 practice statistics problems with answers and solution explanations.
"This second edition of Hilbe's Negative Binomial Regression is a substantial enhancement to the popular first edition. The only text devoted entirely to the negative binomial model and its many variations, nearly every model discussed in the literature is addressed. The theoret…
"Presenting a unique interface between statistics and financial/actuarial topics, this second edition provides a solid background for students preparing for a career in actuarial science. It explores novel research areas and adds more problems, along with a new solutions section…
Quickly and Easily Write Dynamic Documents Suitable for both beginners and advanced users, Dynamic Documents with R and knitr, Second Edition makes writing statistical reports easier by integrating computing directly with reporting. Reports range from homework, projects, exams, …
