A new simulation estimator of system reliability.
Ross, Sheldon M. (1994)
Journal of Applied Mathematics and Stochastic Analysis
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Ross, Sheldon M. (1994)
Journal of Applied Mathematics and Stochastic Analysis
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Sahoo, L.N., Senapati, S.C., Dalabehera, M. (2004)
Bulletin of the Malaysian Mathematical Sciences Society. Second Series
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R. Singh, H. P. Singh (1998)
Qüestiió
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In this paper we have suggested almost unbiased ratio-type and product-type estimators for estimating the population mean Y of the study variate y using information on an auxiliary variate x in systematic sampling. The variance expressions of the suggested estimators have been obtained and compared with usual unbiased estimator y*, Swain's (1964) ratio estimator y* and Shukla's product estimator y*. It has been shown that the proposed estimators are more efficient than usual unbiased...
Montserrat Herrador, Domingo Morales, María Dolores Esteban, Ángel Sánchez, Laureano Santamaría, Yolanda Marhuenda, Agustín Pérez (2008)
SORT
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The main goal of this paper is to investigate how to estimate sampling design variances of modelbased and model-assisted small area estimators in a complex survey sampling setup. For this purpose the Spanish Labour Force Survey is considered. Sample and aggregated data are taken from the Canary Islands in the second trimester of 2003 in order to obtain some small area estimators of ILO unemployment totals. Several problems arising from the application of standard small area estimation...
Alex Costa, Albert Satorra, Eva Ventura (2009)
SORT
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M. A. Gil, R. Perez, I. Martinez (1986)
RAIRO - Operations Research - Recherche Opérationnelle
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Alodat, Naser A. (2009)
International Journal of Open Problems in Computer Science and Mathematics. IJOPCM
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L. N. Sahoo, J. Sahoo, Mariano Ruiz Espejo (1998)
Qüestiió
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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).
Alex Costa, Albert Satorra, Eva Ventura (2004)
SORT
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In this article we propose small area estimators for both the small and large area parameters. When the objective is to estimate parameters at both levels, optimality is achieved by a sample design that combines fixed and proportional allocation. In such a design, one fraction of the sample is distributed proportionally among the small areas and the rest is evenly distributed. Simulation is used to assess the performance of the direct estimator and two composite small area estimators,...
A. Chaudhuri, A.K. Adhikary (1989)
Metrika
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S. Sengupta (2010)
Applicationes Mathematicae
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The problem considered is that of estimation of the size (N) of a closed population under three sampling schemes admitting unbiased estimation of N. It is proved that for each of these schemes, the uniformly minimum variance unbiased estimator (UMVUE) of N is inadmissible under square error loss function. For the first scheme, the UMVUE is also the maximum likelihood estimator (MLE) of N. For the second scheme and a special case of the third, it is shown respectively that an MLE and...