The \(\lambda\)-divergence and the \(\lambda\)-mutual information: Estimation in the stratified sampling
DOI10.1016/0377-0427(93)90086-QzbMath0786.62005MaRDI QIDQ2367490
Domingo Morales, Leandro Pardo, M. Luisa Menendez, Miguel Salicrú
Publication date: 16 August 1993
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
goodness of fittesting for independencesample estimatestesting for homogeneityasymptotic sample distributionindependence among stratastratified random sampling with proportional allocationlambda-divergencelambda-mutual information
Asymptotic distribution theory in statistics (62E20) Sampling theory, sample surveys (62D05) Statistical aspects of information-theoretic topics (62B10)
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Cites Work
- A Mathematical Theory of Communication
- Asymptotic study of the sample mutual information in the stratified sampling
- A note on the estimation of the mutual information in the stratified sampling
- Divergence statistics: sampling properties and multinomial goodness of fit and divergence tests
- The asymptotic distributions of estimators of the amount of transmitted information
- A note on stratification and gain in precision in estimating diversity from large samples
- Some statistical inferences regarding population diversity in terms of the hypoentropy measure
- On diversity measures based on entropy functions
- On Information and Sufficiency
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