Techniques of Population Analysis

Download or Read eBook Techniques of Population Analysis PDF written by George W. Barclay and published by Macmillan College. This book was released on 1958-01-01 with total page 31 pages. Available in PDF, EPUB and Kindle.
Techniques of Population Analysis
Author :
Publisher : Macmillan College
Total Pages : 31
Release :
ISBN-10 : 0023059001
ISBN-13 : 9780023059001
Rating : 4/5 (01 Downloads)

Book Synopsis Techniques of Population Analysis by : George W. Barclay

Book excerpt:


Techniques of Population Analysis Related Books

Techniques of Population Analysis
Language: en
Pages: 31
Authors: George W. Barclay
Categories:
Type: BOOK - Published: 1958-01-01 - Publisher: Macmillan College

DOWNLOAD EBOOK

Bayesian Population Analysis Using WinBUGS
Language: en
Pages: 556
Authors: Marc Kéry
Categories: Computers
Type: BOOK - Published: 2012 - Publisher: Academic Press

DOWNLOAD EBOOK

Bayesian statistics has exploded into biology and its sub-disciplines, such as ecology, over the past decade. The free software program WinBUGS, and its open-so
Population Viability Analysis
Language: en
Pages: 594
Authors: Steven R. Beissinger
Categories: Nature
Type: BOOK - Published: 2002-05-04 - Publisher: University of Chicago Press

DOWNLOAD EBOOK

Many of the world's leading conservation and population biologists evaluate what has become a key tool in estimating extinction risk and evaluating potential re
Bayesian Analysis for Population Ecology
Language: en
Pages: 457
Authors: Ruth King
Categories: Mathematics
Type: BOOK - Published: 2009-10-30 - Publisher: CRC Press

DOWNLOAD EBOOK

Emphasizing model choice and model averaging, this book presents up-to-date Bayesian methods for analyzing complex ecological data. It provides a basic introduc
Advanced Techniques of Population Analysis
Language: en
Pages: 258
Authors: S.S. Halli
Categories: Business & Economics
Type: BOOK - Published: 1992-03-31 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Utilizing the most recent developments in statistical modeling as applied to population studies, the authors interpret results obtained from available software