On two methods of unbiased estimation in two-phase sampling using two auxiliary variables.
Sahoo, L.N., Senapati, S.C., Dalabehera, M. (2004)
Bulletin of the Malaysian Mathematical Sciences Society. Second Series
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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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Alex Costa, Albert Satorra, Eva Ventura (2009)
SORT
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M.D. Ugarte, T. Goicoa, A.F. Militino, M. Sagaseta-López (2009)
SORT
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Senapati, S.C., Sahoo, L.N. (2006)
Bulletin of the Malaysian Mathematical Sciences Society. Second Series
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M. Dalabehera, L. N. Sahoo (1994)
Qüestiió
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In this paper, we compare six almost unbiased ratio estimators with respect to bias and efficiency for (i) finite populations, and (ii) infinite populations in which the joint distribution of the characters under study is bivariate normal.
HousiLA P. SINGH AND M. RUIZ ESPEJO (1999)
Revista de la Real Academia de Ciencias Exactas Físicas y Naturales
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Alex Costa, Albert Satorra, Eva Ventura (2006)
SORT
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A national survey designed for estimating a specific population quantity is sometimes used for estimation of this quantity also for a small area, such as a province. Budget constraints do not allow a greater sample size for the small area, and so other means of improving estimation have to be devised. We investigate such methods and assess them by a Monte Carlo study. We explore how a complementary survey can be exploited in small area estimation. We use the context of the Spanish Labour...
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 (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,...
P.C. Gupta, V.D. Naik (1991)
Metrika
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Nicholas T. Longford (2008)
SORT
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The one-way analysis of variance is a staple of elementary statistics courses. The hypothesis test of homogeneity of the means encourages the use of the selected-model based estimators which are usually assessed without any regard for the uncertainty about the outcome of the test. We expose the weaknesses of such estimators when the uncertainty is taken into account, as it should be, and propose synthetic estimators as an alternative.