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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Pradhan, B.K. (2010)
Bulletin of the Malaysian Mathematical Sciences Society. Second Series
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Senapati, S.C., Sahoo, L.N. (2006)
Bulletin of the Malaysian Mathematical Sciences Society. Second Series
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Al-Nasser, Amjad D., Radaideh, Ahmed (2008)
International Journal of Open Problems in Computer Science and Mathematics. IJOPCM
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B. Kiregyera (1984)
Metrika
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P.C. Gupta, V.D. Naik (1991)
Metrika
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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...
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...
Artur Bryk (2012)
Applicationes Mathematicae
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We consider a fixed-design regression model with long-range dependent errors which form a moving average or Gaussian process. We introduce an artificial randomization of grid points at which observations are taken in order to diminish the impact of strong dependence. We estimate the variance of the errors using the Rice estimator. The estimator is shown to exhibit weak (i.e. in probability) consistency. Simulation results confirm this property for moderate and large sample sizes when...
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...
Sahoo, L.N., Senapati, S.C., Dalabehera, M. (2004)
Bulletin of the Malaysian Mathematical Sciences Society. Second Series
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Ross, Sheldon M. (1994)
Journal of Applied Mathematics and Stochastic Analysis
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D. Adhvaryu, P.C. Gupta (1983)
Metrika
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Christine H. Müller (2004)
Discussiones Mathematicae Probability and Statistics
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We give a review on the properties and applications of M-estimators with redescending score function. For regression analysis, some of these redescending M-estimators can attain the maximum breakdown point which is possible in this setup. Moreover, some of them are the solutions of the problem of maximizing the efficiency under bounded influence function when the regression coefficient and the scale parameter are estimated simultaneously. Hence redescending M-estimators satisfy several...