Электронная книга: Eugene Demidenko «Mixed Models. Theory and Applications with R»
|
Praise for the First Edition“This book will serve to greatly complement the growing number of texts dealing with mixed models, and I highly recommend including it in one’s personal library.” —Journal of the American Statistical Association Mixed modeling is a crucial area of statistics, enabling the analysis of clustered and longitudinal data. Mixed Models: Theory and Applications with R, Second Edition fills a gap in existing literature between mathematical and applied statistical books by presenting a powerful examination of mixed model theory and application with special attention given to the implementation in R. The new edition provides in-depth mathematical coverage of mixed models’ statistical properties and numerical algorithms, as well as nontraditional applications, such as regrowth curves, shapes, and images. The book features the latest topics in statistics including modeling of complex clustered or longitudinal data, modeling data with multiple sources of variation, modeling biological variety and heterogeneity, Healthy Akaike Information Criterion (HAIC), parameter multidimensionality, and statistics of image processing. Mixed Models: Theory and Applications with R, Second Edition features unique applications of mixed model methodology, as well as: Comprehensive theoretical discussions illustrated by examples and figures Over 300 exercises, end-of-section problems, updated data sets, and R subroutines Problems and extended projects requiring simulations in R intended to reinforcematerial Summaries of major results and general points of discussion at the end of each chapter Open problems in mixed modeling methodology, which can be used as the basis for research or PhD dissertations Ideal for graduate-level courses in mixed statistical modeling, the book is also an excellentreference for professionals in a range of fields, including cancer research, computer science, and engineering. Издательство: "John Wiley&Sons Limited"
ISBN: 9781118593066 электронная книга Купить за 10733.4 руб и скачать на Litres |
Другие книги схожей тематики:
| Автор | Книга | Описание | Год | Цена | Тип книги |
|---|---|---|---|---|---|
| Ricardo Maronna A. | Robust Statistics. Theory and Methods (with R) | A new edition of this popular text on robust statistics, thoroughly updated to include new and improved methods and focus on implementation of methodology using the increasingly popular open-source… — John Wiley&Sons Limited, электронная книга Подробнее... | 10302.26 | электронная книга | |
| Brown Helen Dawes | Applied Mixed Models in Medicine | A fully updated edition of this key text on mixed models, focusing on applications in medical research The application of mixed models is an increasingly popular way of analysing medical data… — John Wiley&Sons Limited, электронная книга Подробнее... | 8030.82 | электронная книга | |
| Guttman Irwin | Statistics and Probability with Applications for Engineers and Scientists | Introducing the tools of statistics and probability from the ground up An understanding of statistical tools is essential for engineers and scientists who often need to deal with data analysis over… — John Wiley&Sons Limited, электронная книга Подробнее... | 11316.87 | электронная книга | |
| Alan Agresti | Foundations of Linear and Generalized Linear Models | A valuable overview of the most important ideas and results in statistical modeling Written by a highly-experienced author, Foundations of Linear and Generalized Linear Models is a clear and… — John Wiley&Sons Limited, электронная книга Подробнее... | 9652.07 | электронная книга | |
| Der-San Chen | Applied Integer Programming. Modeling and Solution | An accessible treatment of the modeling and solution of integer programming problems, featuring modern applications and software In order to fully comprehend the algorithms associated with integer… — John Wiley&Sons Limited, электронная книга Подробнее... | 11504.83 | электронная книга | |
| Douglas Montgomery C. | Introduction to Linear Regression Analysis | Praise for the Fourth Edition«As with previous editions, the authors have produced a leading textbook on regression.» —Journal of the American Statistical Association A comprehensive and… — John Wiley&Sons Limited, электронная книга Подробнее... | 11660.14 | электронная книга |
См. также в других словарях:
Theory of multiple intelligences — Human intelligence Abilities and Traits Abstract thought Communication · Creativity Emotional Intelligence Kn … Wikipedia
Mixed anomaly — In theoretical physics, a mixed anomaly is an example of an anomaly: it is an effect of quantum mechanics usually a one loop diagram that implies that the classically valid general covariance and gauge symmetry of a theory of general relativity… … Wikipedia
probability theory — Math., Statistics. the theory of analyzing and making statements concerning the probability of the occurrence of uncertain events. Cf. probability (def. 4). [1830 40] * * * Branch of mathematics that deals with analysis of random events.… … Universalium
Dynamical systems theory — is an area of applied mathematics used to describe the behavior of complex dynamical systems, usually by employing differential equations or difference equations. When differential equations are employed, the theory is called continuous dynamical … Wikipedia
Mathematics and Physical Sciences — ▪ 2003 Introduction Mathematics Mathematics in 2002 was marked by two discoveries in number theory. The first may have practical implications; the second satisfied a 150 year old curiosity. Computer scientist Manindra Agrawal of the… … Universalium
Attachment theory — … Wikipedia
