Conditioning on ancillary statistics and loss of information in the presence of nuisance parameters

DOI10.1016/0378-3758(89)90001-3zbMath0682.62006OpenAlexW1972205364MaRDI QIDQ1824309

Vasant P. Bhapkar

Publication date: 1989

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0378-3758(89)90001-3

zbMATH Keywords

completenessFisher information matrixconditional distributionloss of informationinformation matricespartial ancillarity

Mathematics Subject Classification ID

Foundations and philosophical topics in statistics (62A01) Parametric inference (62F99)

Related Items

NEW RESULTS FOR A CLASS OF UNIVARIATE DISTRIBUTIONS ⋮ The reduction and ancillary classification of observations ⋮ Efficient likelihood ratio tests under \(P\)-ancillarity and \(P\)-sufficiency ⋮ Completeness and optimality of marginal likelihood estimating equations ⋮ Information, ancillarity, and sufficiency in the presence of nuisance parameters ⋮ Marginal information for expectation parameters ⋮ On the loss of information in conditional maximum likelihood estimation of item parameters ⋮ A repetitive branch-and-bound procedure for minimum within-cluster sums of squares partitioning ⋮ The rules of conditional inference: Is there a universal definition of nonformation? ⋮ Loss of information in the presence of nuisance parameters and partial sufficiency ⋮ One from many: estimating a function of many parameters

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