Multinomial approximations for nonparametric experiments which minimize the maximal loss of Fisher information

DOI10.1007/BF00319548zbMath0663.62060OpenAlexW1967631130MaRDI QIDQ1114266

Stephan Luckhaus, Wilhelm Sauermann

Publication date: 1989

Published in: Probability Theory and Related Fields (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf00319548

zbMATH Keywords

conditional expectationLebesgue measuregroupingasymptotic directions for sequences of local alternativesloss of Fisher-information

Mathematics Subject Classification ID

Theory of statistical experiments (62B15) Minimax procedures in statistical decision theory (62C20) Nonparametric inference (62G99)

Related Items

Deficiency distance between multinomial and multivariate normal experiments

Cites Work

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