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Large-sample hypothesis tests for stratified group-testing data

Content Provider	Scilit
Author	Tebbs, Joshua M. McCann, Melinda H.
Copyright Year	2007
Description	Journal: Journal of Agricultural, Biological and Environmental Statistics Insect-vectored plant diseases impact the agricultural community each year by affecting the economic value, the quantity, and the quality of crops. Controlling the spread of disease is an important area in risk assessment, and understanding the dynamics of vector populations helps researchers to develop effective treatments. In this article, we consider an experimental design commonly used by researchers who study plant disease and examine large-sample, likelihood-based hypothesis tests that can be used to characterize disease-transmission behavior in a stratified population. Small-sample size and power results along with design considerations are provided. We illustrate our testing procedures using two real data examples and provide recommendations for plant-disease researchers in the field.
Related Links	http://link.springer.com/content/pdf/10.1198%2F108571107X250977.pdf
Ending Page	551
Page Count	18
Starting Page	534
ISSN	10857117
e-ISSN	15372693
DOI	10.1198/108571107x250977
Journal	Journal of Agricultural, Biological and Environmental Statistics
Issue Number	4
Volume Number	12
Language	English
Publisher	Informa UK Limited
Publisher Date	2007-12-01
Access Restriction	Open
Subject Keyword	Journal: Journal of Agricultural, Biological and Environmental Statistics Agricultural Economics Large Sample Hypothesis Tests Plant Disease Researchers in the Field Sample Hypothesis Risk Assessment Stratified Group
Content Type	Text
Subject	Applied Mathematics Statistics and Probability Environmental Science Agricultural and Biological Sciences Statistics, Probability and Uncertainty

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