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Information Journal Paper

Title

THE EFFECT OF WEIGHT FUNCTION ON THE ESTIMATION OF REGRESSION PARAMETERS UNDER WEIGHTED SAMPLING

Pages

  281-297

Abstract

 In WEIGHTED SAMPLING as a generalization of random sampling, every observation, y, is recorded with probably proportional to a non-negative function of y. In this paper, the normal regression model is investigated under the WEIGHTED SAMPLING for a common WEIGHT FUNCTION. Parameters of the model are estimated for known and unknown weight parameters. Using simulation, efficiency of estimators is studied when they have not closed forms. As an application, the data of number of visited patients by specialist doctors in Social Security Organization of Ahvaz in Iran (SSOAI) are analyzed.

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    APA: Copy

    TARHANI, MAHTAB, & ALAVI, SEYED MOHAMMAD REZA. (2017). THE EFFECT OF WEIGHT FUNCTION ON THE ESTIMATION OF REGRESSION PARAMETERS UNDER WEIGHTED SAMPLING. JOURNAL OF STATISTICAL SCIENCES, 10(2 ), 281-297. SID. https://sid.ir/paper/124158/en

    Vancouver: Copy

    TARHANI MAHTAB, ALAVI SEYED MOHAMMAD REZA. THE EFFECT OF WEIGHT FUNCTION ON THE ESTIMATION OF REGRESSION PARAMETERS UNDER WEIGHTED SAMPLING. JOURNAL OF STATISTICAL SCIENCES[Internet]. 2017;10(2 ):281-297. Available from: https://sid.ir/paper/124158/en

    IEEE: Copy

    MAHTAB TARHANI, and SEYED MOHAMMAD REZA ALAVI, “THE EFFECT OF WEIGHT FUNCTION ON THE ESTIMATION OF REGRESSION PARAMETERS UNDER WEIGHTED SAMPLING,” JOURNAL OF STATISTICAL SCIENCES, vol. 10, no. 2 , pp. 281–297, 2017, [Online]. Available: https://sid.ir/paper/124158/en

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