NDLI: A BETA-BINOMIAL MODEL FOR ESTIMATING THE SIZE OF A HETEROGENEOUS POPULATION

Content Provider	Scilit
Author	Yip, Paul S. F. Xi, Liqun Arnold, Richard Hayakawa, Yu
Copyright Year	2005
Description	Journal: Australian & New Zealand Journal of Statistics
Related Links	http://onlinelibrary.wiley.com/doi/10.1111/j.1467-842X.2005.00395.x/pdf
Ending Page	308
Page Count	10
Starting Page	299
ISSN	13691473
e-ISSN	1467842X
DOI	10.1111/j.1467-842x.2005.00395.x
Journal	Australian & New Zealand Journal of Statistics
Issue Number	3
Volume Number	47
Language	English
Publisher	Wiley-Blackwell
Publisher Date	2005-09-01
Access Restriction	Open
Subject Keyword	Journal: Australian & New Zealand Journal of Statistics Cybernetical Science Capture‐recapture Conditional Maximum Likelihood Estimate Maximum Likelihood Estimate Metropolis‐hastings Algorithm
Content Type	Text
Resource Type	Article
Subject	Statistics and Probability Statistics, Probability and Uncertainty

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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A BETA-BINOMIAL MODEL FOR ESTIMATING THE SIZE OF A HETEROGENEOUS POPULATION