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Actuarial science / Statistical models / Regression analysis / Empirical Bayes method / Generalized linear model / Hierarchical Bayes model / Bayesian inference / Species distribution / Hyperparameter / Statistics / Bayesian statistics / Statistical inference


Hierarchical Models and Bayesian Analysis of Bird Survey Information1 John R. Sauer,2 William A. Link,2 and J. Andrew Royle2 ________________________________________ Abstract
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Document Date: 2006-02-23 07:25:16


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City

Beek-Ubbergen / Laurel / Washington DC / Montreal / New York / Washington / DC / Cambridge / Covello / /

Company

Brown / Third International Partners / Yellow / Monte Carlo / Cressie N. A. C. / John Wiley & Sons / Ardea / /

Continent

North America / /

Country

Netherlands / Mexico / United States / Canada / United Kingdom / /

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Facility

USGS Patuxent Wildlife Research Center / Pacific Southwest Research Station / /

IndustryTerm

Analytical tools / computer software makes hierarchical models / /

MarketIndex

¾ °¿ Regional / /

NaturalFeature

Cadman waterfall / M. D. waterfall / J. B. waterfall / Appalachians / D. Cadman waterfall / M. D. Cadman waterfall / M. waterfall / D. waterfall / /

OperatingSystem

Aix / Cygnus / /

Organization

USGS Patuxent Wildlife Research Center / National Biological Service / USDA Forest Service / Commission for Environmental Cooperation / U. S. Department of the Interior / U.S. Fish and Wildlife Service / U.S. Department of Agriculture / Canadian Wildlife Service / Biostatistics Unit / Forest Service / /

Person

W. R. Gilks / Ai / Magnolia Warbler / John R. Sauer / Dunn / J. Spiegelhalter / N. G. Best / A. Thomas / /

Position

D. J. / General / Governor / analyst / /

ProvinceOrState

Maryland / New Mexico / California / /

PublishedMedium

Ralph / Samson / /

Technology

BBS / simulation / /

SocialTag