International Journal of Statistics and Applied Mathematics
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2019, Vol. 4, Issue 1, Part A

Comparison of estimators of common mean of two normal populations using Monte Carlo simulation


Author(s): P Rajini, Krishna Reddy M and Jaya lakshmi C

Abstract: Estimating common mean of several normal populations with unknown variances, which may be equal or unequal is one of the interesting problems in statistical inference. Estimation of common mean based on independent samples has some unresolved problems in literature. In this paper we considered different estimators of common mean available in the literature and compared them with respect to their bias, standard error, skewness and kurtosis.

Pages: 23-28 | Views: 932 | Downloads: 25

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How to cite this article:
P Rajini, Krishna Reddy M, Jaya lakshmi C. Comparison of estimators of common mean of two normal populations using Monte Carlo simulation. Int J Stat Appl Math 2019;4(1):23-28.
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