Families of Estimators of Finite Population Variance using a Random Non-Response in Survey Sampling

Families of Estimators of Finite Population Variance using a Random Non-Response in Survey Sampling

In this paper, a family of estimators for the finite population variance investigated by Srivastava and Jhajj (1980) is studied under two different situations of random non-response considered by Tracy and Osahan (1994). Asymptotic expressions for the biases and mean squared errors of members of the proposed family are obtained; in addition, an asymptotic optimum estimator(AOE) is also identifi...

Improved ratio-type estimators of finite population variance using quartiles

In this paper we have proposed some ratio-type estimators of finite population variance using known values of parameters related to an auxiliary variable such as quartiles with their properties in simple random sampling. The suggested estimators have been compared with the usual unbiased and ratio estimators and the estimators due to [2], [12, 13, 14] and [3]. An empirical study is also carried...

Non-response in Sampling from a Dichotomous Finite Population Non-response in Sampling from a Dichotomous Finite Population (^223^66)

Estimating Variance of the Sample Mean in Two-phase Sampling with Unit Non-response Effect

In sample surveys, we always deal with two types of errors: Sampling error and non-sampling error. One of the most common non-sampling errors is nonresponse. This error happens when some sample units are not observed or viewed but they do not answer some of the questions. The complete prevention of this error is not possible, but it can be significantly reduced. The non-response causes bias and ...

a survey of translation of metaphors in holy quran – part 20&21

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