Return to home page
Searching: Muskingum library catalog
While many OPAL libraries have resumed lending and borrowing, some continue to operate at reduced service levels or limit in-person use to their campus community. Note that pickup services and procedures may differ between libraries. Please contact your library regarding open hours, pickup procedures, specific requests, or other assistance.
Record 1 of 2
  Previous Record Previous Item Next Item Next Record
  Reviews, Summaries, etc...
EBOOK
Author Green, Edwin James, 1954-
Title Introduction to Bayesian methods in ecology and natural resources / Edwin J. Green, Andrew O. Finley, William E. Strawderman.
Imprint Cham, Switzerland : Springer, [2020]

LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Author Green, Edwin James, 1954-
Subject Applied ecology -- Statistical methods.
Bayesian statistical decision theory.
Alt Name Finley, Andrew O.,
Strawderman, William E.,
Description 1 online resource
polychrome rdacc
Bibliography Note Includes bibliographical references.
Contents 1. Introduction -- 2. Probability Theory and Some Useful Probability Distribution -- 3. Choice of Prior Distribution -- 4. Elementary Bayesian Analyses -- 5. Hypothesis Testing and Model Choice -- 6. Linear Models -- 7. General Linear Models -- 8. Spatial Models.
Summary This book presents modern Bayesian analysis in a format that is accessible to researchers in the fields of ecology, wildlife biology, and natural resource management. Bayesian analysis has undergone a remarkable transformation since the early 1990s. Widespread adoption of Markov chain Monte Carlo techniques has made the Bayesian paradigm the viable alternative to classical statistical procedures for scientific inference. The Bayesian approach has a number of desirable qualities, three chief ones being: i) the mathematical procedure is always the same, allowing the analyst to concentrate on the scientific aspects of the problem; ii) historical information is readily used, when appropriate; and iii) hierarchical models are readily accommodated. This monograph contains numerous worked examples and the requisite computer programs. The latter are easily modified to meet new situations. A primer on probability distributions is also included because these form the basis of Bayesian inference. Researchers and graduate students in Ecology and Natural Resource Management will find this book a valuable reference.
Note Description based on online resource; title from digital title page (viewed on February 05, 2021).
ISBN 9783030607500 (electronic bk.)
303060750X (electronic bk.)
3030607496
9783030607494
ISBN/ISSN 10.1007/978-3-030-60750-0
OCLC # 1225068429
Additional Format Original 3030607496 9783030607494 (OCoLC)1193120078


If you experience difficulty accessing or navigating this content, please contact the OPAL Support Team