رکورد قبلیرکورد بعدی

" Bayesian data analysis in ecology using linear models with R, Bugs, and Stan / "


Document Type : BL
Record Number : 622673
Doc. No : dltt
Title & Author : Bayesian data analysis in ecology using linear models with R, Bugs, and Stan /\ Fränzi Korner-Nievergelt ... [et al.]
Publication Statement : Amsterdam ;Boston :: Academic Press,, 2015
Page. NO : xii, 316 p. :: ill. ;; 23 cm
ISBN : 9780128013700
: : 0128013702
Bibliographies/Indexes : Includes bibliographical references (pages 297-307) and index
Abstract : Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods of conducting data analyses. The book provides the theoretical background in an easy-to-understand approach, encouraging readers to examine the processes that generated their data. Including discussions of model selection, model checking, and multi-model inference, the book also uses effect plots that allow a natural interpretation of data. Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN introduces Bayesian software, using R for the simple modes, and flexible Bayesian software (BUGS and Stan) for the more complicated ones. Guiding the ready from easy toward more complex (real) data analyses ina step-by-step manner, the book presents problems and solutions-including all R codes-that are most often applicable to other data and questions, making it an invaluable resource for analyzing a variety of data types
Subject : Ecology-- Research-- Statistical methods
Subject : Bayesian statistical decision theory
Subject : Linear models (Statistics)
Subject : R (Computer program language)
Subject : Bayes Theorem
Subject : Linear Models
Dewey Classification : ‭577.01519542‬
LC Classification : ‭QH541.15.S72‬‭K67 2015‬
Added Entry : Korner-Nievergelt, Fränzi
: von Felten, Stefanie
: Roth, Tobias
: Almasi, Bettina
: Guélat, Jérôme
: Korner-Nievergelt, Pius
کپی لینک

پیشنهاد خرید
پیوستها
Search result is zero
نظرسنجی
نظرسنجی منابع دیجیتال

1 - آیا از کیفیت منابع دیجیتال راضی هستید؟