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  1. Journal of Agricultural, Biological, and Environmental Statistics
  2. Journal of Agricultural, Biological, and Environmental Statistics : Volume 7
  3. Journal of Agricultural, Biological, and Environmental Statistics : Volume 7, Issue 2, June 2002
  4. A single-step method for identifying individual resources
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Journal of Agricultural, Biological, and Environmental Statistics : Volume 22
Journal of Agricultural, Biological, and Environmental Statistics : Volume 21
Journal of Agricultural, Biological, and Environmental Statistics : Volume 20
Journal of Agricultural, Biological, and Environmental Statistics : Volume 19
Journal of Agricultural, Biological, and Environmental Statistics : Volume 18
Journal of Agricultural, Biological, and Environmental Statistics : Volume 17
Journal of Agricultural, Biological, and Environmental Statistics : Volume 16
Journal of Agricultural, Biological, and Environmental Statistics : Volume 15
Journal of Agricultural, Biological, and Environmental Statistics : Volume 14
Journal of Agricultural, Biological, and Environmental Statistics : Volume 13
Journal of Agricultural, Biological, and Environmental Statistics : Volume 12
Journal of Agricultural, Biological, and Environmental Statistics : Volume 11
Journal of Agricultural, Biological, and Environmental Statistics : Volume 10
Journal of Agricultural, Biological, and Environmental Statistics : Volume 9
Journal of Agricultural, Biological, and Environmental Statistics : Volume 8
Journal of Agricultural, Biological, and Environmental Statistics : Volume 7
Journal of Agricultural, Biological, and Environmental Statistics : Volume 7, Issue 4, December 2002
Journal of Agricultural, Biological, and Environmental Statistics : Volume 7, Issue 3, September 2002
Journal of Agricultural, Biological, and Environmental Statistics : Volume 7, Issue 2, June 2002
A multiple-comparisons method based on the distribution of the root node distance of a binary tree
Methods for selecting crossover designs with applications to an experiment with two factors in a split plot
Can the sample variance estimator be improved by using a covariate?
Analysis of toxicology data with covariates specific to each observation
Modeling plant growth using regression with periodically correlated errors
A single-step method for identifying individual resources
Multifactorial analysis of distance in studies of ecological community structure
Combining population density estimates in line transect sampling using the kernel method
Estimation of smolt-to-adult return percentages for Snake River Basin anadromous salmonids, 1990–1997
Bayesian estimation of survival from mark-recapture data
Survival and spatial fidelity of moufl on (Ovis gmelini): A Bayesian analysis of an age-dependent capture-recapture model
Journal of Agricultural, Biological, and Environmental Statistics : Volume 7, Issue 1, March 2002
Journal of Agricultural, Biological, and Environmental Statistics : Volume 6

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A single-step method for identifying individual resources

Content Provider Springer Nature Link
Author Dasgupta, Nairanjana Alldredge, J. Richard
Copyright Year 2002
Abstract Many methods of analysis have been used to test whether animals use resources in proportion to availability. Many of the most commonly used methods have been criticized because they ignore the induced correlation among cells in the multinomial classification table due to the unit-sum constraint. Some methods are also flawed because they assume that relocation data can be pooled across animals even though the animals may select habitats differently. We propose a method, based on the maximum of the joint chi-square, to compare habitat usage to availability for individual animals. This method is combined with a follow-up multiple comparison technique that takes account of the unit-sum constraint. We compare our proposed method to a method based on the sum of individual chi-squares and a method based on compositional analysis by analyzing data on gray partridge and ringnecked pheasant resource use. Simulation is also used to compare methods by evaluating their Type I error rates.
Starting Page 208
Ending Page 221
Page Count 14
File Format PDF
ISSN 10857117
Journal Journal of Agricultural, Biological, and Environmental Statistics
Volume Number 7
Issue Number 2
e-ISSN 15372693
Language English
Publisher Springer-Verlag
Publisher Date 2002-01-01
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Compositional analysis Experimentwise error control Goodness of fit Gray partridge Habitat use Multiple comparison Ring-necked pheasant Wald statistic Statistics for Life Sciences, Medicine, Health Sciences Agriculture Environmental Monitoring/Analysis Biostatistics
Content Type Text
Resource Type Article
Subject Applied Mathematics Statistics and Probability Environmental Science Agricultural and Biological Sciences Statistics, Probability and Uncertainty
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