Likelihood-based confidence intervals for complementary poisson rate parameters with misclassified data

Kent Riggs; Dean Young; James Stamey

doi:10.1080/03610920802178405

Likelihood-based confidence intervals for complementary poisson rate parameters with misclassified data

Kent Riggs, Dean Young, James Stamey

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	159-172
Number of pages	14
Journal	Communications in Statistics - Theory and Methods
Volume	38
Issue number	2
DOIs	https://doi.org/10.1080/03610920802178405
State	Published - Jan 2009
Externally published	Yes

ASJC Scopus Subject Areas

Statistics and Probability

Keywords

Asymptotic confidence intervals
EM algorithm
Misclassification
Simulation

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10.1080/03610920802178405

Cite this

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title = "Likelihood-based confidence intervals for complementary poisson rate parameters with misclassified data",

keywords = "Asymptotic confidence intervals, EM algorithm, Misclassification, Simulation",

author = "Kent Riggs and Dean Young and James Stamey",

year = "2009",

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language = "English",

volume = "38",

pages = "159--172",

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AU - Riggs, Kent

AU - Young, Dean

AU - Stamey, James

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KW - Asymptotic confidence intervals

KW - EM algorithm

KW - Misclassification

KW - Simulation

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SP - 159

EP - 172

JO - Communications in Statistics - Theory and Methods

JF - Communications in Statistics - Theory and Methods

IS - 2

ER -

Likelihood-based confidence intervals for complementary poisson rate parameters with misclassified data

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this