Confidence Intervals for the Normal Mean with Known Coefficient of Variation

In this paper we proposed two new confidence intervals for the normal population mean with known coefficient of variation. This situation occurs normally in environment and agriculture experiments where the scientist knows the coefficient of variation of their experiments. We propose two new confidence intervals for this problem based on the recent work of Searls [5] and the new method proposed in this paper for the first time. We derive analytic expressions for the coverage probability and the expected length of each confidence interval. Monte Carlo simulation will be used to assess the performance of these intervals based on their expected lengths.





References:
[1] K. Bhat and K. A. Rao, On Tests for a Normal Mean with Known Coefficient of Variation, International Statistical Review , 75 (2007), 170-182
[2] V. Brazauskas and J. Ghorai, Estimating the common parameter of
normal models with known coefficients of variation: a sensitivity study
of asymptotically efficient estimators, Journal of Statistical Computation
and Simulation, 77( 2007), 663-681
[3] R. A. Khan, A Note on Estimating the Mean of a Normal Distribution
with Known Coefficient of Variation, Journal of the American Statistical
Association, 63(1968), 1039-1041.
[4] S. Niwitpong and S. Niwitpong, Confidence interval for the difference of
two normal population means with a known ratio of variances, Applied
Mathematical Sciences , 4 (2010), 347 - 359.
[5] D. T. Searls, A Note on the Use of an Approximately Known Coefficient
of Variation, The American Statistician, 21(1967), 20-21.
[6] D. T. Searls, The Utilization of a Known Coefficient of Variation in the
Estimation Procedure, Journal of the American Statistical Association,
59(1964), 1225-1226.
[7] R.E. Walpole, R. H. Myers, S.L. Myers, K. Ye., Probability & Statistics for Engineers & Scientists, Prentice Hall, New Jersey, 2002.