Stephen A. Sedory

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In this paper, a new estimator for estimating the finite population variance of a sensitive variable based on scrambled responses collected using a randomization device is introduced. The estimator is then improved by using known auxiliary information. The estimators due to Das and Tripathi (1978: Sankhya) and Isaki (1983: JASA) are shown to be special(More)
An Empirical Likelihood Estimate of the Finite Population Correlation Coefficient Sarjinder Singh a , Stephen A. Sedory a & Jong-min Kim b a Department of Mathematics , Texas A&M University-Kingsville , Kingsville , TX , USA b Statistics Discipline, Division of Science and Mathematics , University of Minnesota-Morris , Morris , MN , USA Accepted author(More)
A new stochastic randomized response model is introduced that is useful for estimating the population mean of a sensitive quantitative variable. The proposed stochastic randomized response model is an extension of the stochastic randomized response model from a qualitative sensitive variable to a quantitative variable found in Singh (2002). The stochastic(More)
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