A Class of Regression Type Estimators in Survey Sampling

• Autorzy: Govind Charan Misra , Subhash Kumar Yadav , Alok Kumar Shukla
• Języki publikacji: EN

Abstrakty

EN

A class of linear regression models has been proposed for the estimation of population mean and total when information regarding auxiliary variate is available in survey sampling using regression method of estimation by introducing a new auxiliary variable z, which may also be a function of the auxiliary variable x. The proposed model leads to reduction in mean squared error as compared to ordinary regression method of estimation. The improvement has been demonstrated over ordinary regression estimator and also on ratio estimator with the help of an empirical example. (original abstract)

Słowa kluczowe

PL

Regresja liniowa; Estymatory; Badania reprezentacyjne

EN

Linear regression; Estimators; Sampling survey

• Czasopismo: Statistics in Transition
• Rocznik: 2011
• Tom: 12
• Numer: nr 3
• Strony: 579-586

Twórcy

autor

Govind Charan Misra

• D. A-V. College

autor

Subhash Kumar Yadav

• Dr R M L Avadh University

autor

Alok Kumar Shukla

• D. A-V. College

Bibliografia

• COCHRAN, W.G. (1999). Sampling Techniques, John Wiley & Sons.
• DES RAJ (1972). The design of sampling surveys, McGraw-Hill, New York.
• EKPENYONG, E. J., OKONNAH, M.I. and JOHN, ED. (2008), Polynomial (Non-linear) Regression.
• Method for Improved Estimation Based on Sampling, Journal of Applied Sciences, 8(8), 1597- 1599.
• MISRA, G.C., SHUKLA, A.K. AND YADAV, S.K. (2009). A Comparison of Regression Methods for Improved Estimation in Sampling, Journal of reliability and statistical studies, Vol. 2, Issue2, 85-90.
• SUKHATME, P.V., SUKHATME, B.V., SUKHATME, S. and ASOK, C. (1984). Sampling Theory of Surveys with Applications, Indian Society of Agricultural Statistics. Sampath, S. (2005). Sampling Theory and Methods, Narosa Publishing House, India.