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Cites:

Information Journal Paper

Title

A STUDY ON THE CLASS OF CHAIN RATIO–TYPE ESTIMATORS

Pages

  187-199

Abstract

 This paper considers the problem of estimating the population mean ybar of the STUDY VARIATE y using information on different parameters such as population mean (X), coefficient of variation (Cx), kurtosis (b2(x)), standard deviation (Sx) of the AUXILIARY VARIATE x and on the correlation coefficient, r, between the STUDY VARIATE y and the AUXILIARY VARIATE x through transformation. A class of estimators on the lines of Kadilar and Cingi (2003) has been defined and its properties are studied to the first degree of approximation. It has been shown that the proposed class of estimators is better than usual unbiased estimator y, RATIO ESTIMATOR y R, ratio-type estimator tR and Kadilar and Cingi (2003) estimator y C under some realistic conditions. Numerical illustration is given in support of the present study.

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  • Cite

    APA: Copy

    SINGH, HOUSILA P., & RATHOUR, ANJANA. (2010). A STUDY ON THE CLASS OF CHAIN RATIO–TYPE ESTIMATORS. JOURNAL OF STATISTICAL RESEARCH OF IRAN (JSRI), 7(2), 187-199. SID. https://sid.ir/paper/129948/en

    Vancouver: Copy

    SINGH HOUSILA P., RATHOUR ANJANA. A STUDY ON THE CLASS OF CHAIN RATIO–TYPE ESTIMATORS. JOURNAL OF STATISTICAL RESEARCH OF IRAN (JSRI)[Internet]. 2010;7(2):187-199. Available from: https://sid.ir/paper/129948/en

    IEEE: Copy

    HOUSILA P. SINGH, and ANJANA RATHOUR, “A STUDY ON THE CLASS OF CHAIN RATIO–TYPE ESTIMATORS,” JOURNAL OF STATISTICAL RESEARCH OF IRAN (JSRI), vol. 7, no. 2, pp. 187–199, 2010, [Online]. Available: https://sid.ir/paper/129948/en

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