A conditional limit construction of the normal probability density

DOI10.1007/BF02481122zbMath0588.62026OpenAlexW2003428653MaRDI QIDQ1073484

B. George

Publication date: 1985

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02481122

zbMATH Keywords

maximum entropyKullback-Leibler informationuniform random variableslimit of conditional probability densitiesnormal probability density

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Central limit and other weak theorems (60F05) Characterization and structure theory of statistical distributions (62E10)

Related Items (1)

On the conditional probability density functions of multivariate uniform random vectors and multivariate normal random vectors

Cites Work

• A conditional law of large numbers
• Maximum entropy and conditional probability
• On Information and Sufficiency
• A Measure of Asymptotic Efficiency for Tests of a Hypothesis Based on the sum of Observations
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