We first consider confidence intervals for a normal percentile, an exponential percentile and a uniform percentile. Then we develop confidence intervals for a difference of percentiles from two independent normal populations, two independent exponential populations and two independent uniform populations. In our study, we mainly focus on the maximum likelihood to develop our confidence intervals. The efficiency of this method is examined via coverage rates obtained in a simulation study done with the statistical software R
Confidence intervals must be robust in having nominal and actual probability coverage in close agree...
The confidence interval estimate of percentile and its applications were studied. The three methods ...
“The purpose of this thesis is to briefly review various properties which may be desirable for a sys...
Percentiles are used everyday in descriptive statistics and data analysis. In real life, many quanti...
In this study, we propose confidence intervals and their bootstrap versions for the difference of va...
Motivated by the recent work of Herbert, Hayen, Macaskill and Walter [Interval estimation for the di...
Comparison of the means of two normal populations is a simpler problem when the variance (if unknown...
In this paper we gave an Edgeworth expansion for the studentized difference of two binomial proporti...
The coefficient of variation (CV) is a helpful quantity to describe the variation in evaluating resu...
Analytical methods for interval estimation of differences between variances have not been described....
Four different bootstrap methods for estimating confidence intervals (CIs) for a coefficient alpha d...
We construct several explicit asymptotic two-sided confidence intervals (CIs) for the difference bet...
This paper considers several confidence intervals for estim ating the population coefficient of va...
Comparing two proportions through the difference is a basic problem in statistics and has applicatio...
Comparing individual confidence intervals of two population means is an incorrect procedure for dete...
Confidence intervals must be robust in having nominal and actual probability coverage in close agree...
The confidence interval estimate of percentile and its applications were studied. The three methods ...
“The purpose of this thesis is to briefly review various properties which may be desirable for a sys...
Percentiles are used everyday in descriptive statistics and data analysis. In real life, many quanti...
In this study, we propose confidence intervals and their bootstrap versions for the difference of va...
Motivated by the recent work of Herbert, Hayen, Macaskill and Walter [Interval estimation for the di...
Comparison of the means of two normal populations is a simpler problem when the variance (if unknown...
In this paper we gave an Edgeworth expansion for the studentized difference of two binomial proporti...
The coefficient of variation (CV) is a helpful quantity to describe the variation in evaluating resu...
Analytical methods for interval estimation of differences between variances have not been described....
Four different bootstrap methods for estimating confidence intervals (CIs) for a coefficient alpha d...
We construct several explicit asymptotic two-sided confidence intervals (CIs) for the difference bet...
This paper considers several confidence intervals for estim ating the population coefficient of va...
Comparing two proportions through the difference is a basic problem in statistics and has applicatio...
Comparing individual confidence intervals of two population means is an incorrect procedure for dete...
Confidence intervals must be robust in having nominal and actual probability coverage in close agree...
The confidence interval estimate of percentile and its applications were studied. The three methods ...
“The purpose of this thesis is to briefly review various properties which may be desirable for a sys...