The mutual information. Estimation in the sampling without replacement
María Angeles Gil, Rigoberto Perez, Pedro Gil (1987)
Kybernetika
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Displaying similar documents to “The mutual information estimation in the sampling with replacement”
The mutual information. Estimation in the sampling without replacement
On some strategies using auxiliary information for estimating finite population mean.
L. N. Sahoo, J. Sahoo, Mariano Ruiz Espejo (1998)
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This paper presents an empirical investigation of the performance of five strategies for estimating the finite population mean using parameters such as mean or variance or both of an auxiliary variable. The criteria used for the choices of these strategies are bias, efficiency and approach to normality (asymmetry).
Regression type estimators of finite population variance under multiphase sampling.
Pradhan, B.K. (2010)
Bulletin of the Malaysian Mathematical Sciences Society. Second Series
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Comparing the suitability of two factors for stratification in estimating diversity
María Angeles Gil (1991)
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Estimating income inequality in the stratified sampling from complete data. II. The asymptotic behaviour and the choice of sample size
Covadonga Caso, María Angeles Gil (1989)
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Comparison of the efficiency of drawing samples with and without replacement when the variance of the general population is unknown
I. Koźniewska (1957)
Colloquium Mathematicae
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