Bayesian Hierarchical Models For Ecological Data
Download and Read Bayesian Hierarchical Models For Ecological Data full books in PDF, ePUB, and Kindle. Read online free Bayesian Hierarchical Models For Ecological Data ebook anywhere anytime directly on your device. We cannot guarantee that every ebooks is available!
Introduction to Hierarchical Bayesian Modeling for Ecological Data
Author | : Eric Parent |
Publisher | : CRC Press |
Total Pages | : 427 |
Release | : 2012-08-21 |
Genre | : Mathematics |
ISBN | : 1584889209 |
Download Introduction to Hierarchical Bayesian Modeling for Ecological Data Book in PDF, Epub and Kindle
Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian Modeling for Ecological Data gives readers a flexible and effective framework to learn about complex ecological processes from various sources of data. It also helps readers get started on building their own statisti
Introduction to Hierarchical Bayesian Modeling for Ecological Data Related Books
Language: en
Pages: 427
Pages: 427
Type: BOOK - Published: 2012-08-21 - Publisher: CRC Press
Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian Modeling for Ecological Da
Language: en
Pages: 463
Pages: 463
Type: BOOK - Published: 2008-10-15 - Publisher: Elsevier
A guide to data collection, modeling and inference strategies for biological survey data using Bayesian and classical statistical methods. This book describes a
Language: en
Pages: 0
Pages: 0
Type: BOOK - Published: 2023 - Publisher:
Language: en
Pages: 634
Pages: 634
Type: BOOK - Published: 2020-10-06 - Publisher: Princeton University Press
The environmental sciences are undergoing a revolution in the use of models and data. Facing ecological data sets of unprecedented size and complexity, environm
Language: en
Pages: 315
Pages: 315
Type: BOOK - Published: 2015-08-04 - Publisher: Princeton University Press
Bayesian modeling has become an indispensable tool for ecological research because it is uniquely suited to deal with complexity in a statistically coherent way