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A Bayesian Superpopulation Approach to Inference for Finite..:

Jones, Geoffrey ; Johnson, Wesley O.
Journal of Agricultural, Biological, and Environmental Statistics. 21 (2016) 2 - p. 314-327 , 2016

Link: https://www.jstor.org/stable/26451865

RT Journal
T1 <Title>A Bayesian Superpopulation Approach to Inference for Finite Populations Based on Imperfect Diagnostic Outcomes</Title>

UL https://suche.suub.uni-bremen.de/peid=jstor-26451865&Exemplar=1&LAN=DE
				
A1 Jones, Geoffrey
A1 Johnson, Wesley O.
PB Springer Science+Business Media, LLC
YR 2016
SN 1085-7117
K1 Behavioral sciences
K1 Psychology
K1 Cognitive psychology
K1 Cognitive processes
K1 Thought processes
K1 Reasoning
K1 Inference
K1 Health sciences
K1 Medical conditions
K1 Infections
K1 Social sciences
K1 Population studies
K1 Demography
K1 Population distributions
K1 Biological sciences
K1 Ecology
K1 Animal ecology
K1 Animal communities
K1 Herds
K1 Medical diagnosis
K1 Diagnostic methods
K1 Medical diagnostic tests
K1 Health and wellness
K1 Public health
K1 Epidemiology
K1 Health outcomes
K1 Mathematics
K1 Applied mathematics
K1 Statistics
K1 Applied statistics
K1 Descriptive statistics
K1 Statistical sampling
K1 Sampling methods
K1 Data sampling
K1 Statistical distributions
K1 Normal distribution curve
K1 Sampling distributions
K1 Measures of variability
K1 Sample size
JF Journal of Agricultural, Biological, and Environmental Statistics
VO 21
IS 2
SP 314
OP 327
LK http://dx.doi.org/https://www.jstor.org/stable/26451865
DO https://www.jstor.org/stable/26451865
SF ELIB - SuUB Bremen

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