The confidence interval estimate of percentile and its applications were studied. The three methods of estimating a confidence interval were introduced. Some properties of order statistics were reviewed. The Monte Carlo Method -- used to estimate the confidence interval was the most important one among the three methods. The generation of ordered random variables and the estimation of parameters were discussed clearly. The comparison of the three methods showed that the Monte Carlo method would always work, but the K-S and the simplified methods would not
The coefficient of variation (CV) is a helpful quantity to describe the variation in evaluating resu...
Quantiles and percentiles represent useful statistical tools for describing the distribution of resu...
The confidence interval is an important statistical estimator of population location and dispersion ...
The confidence interval estimate of percentile and its applications were studied. The three methods ...
Computing a confidence interval for a population correlation coefficient is very important for resea...
Coefficient alpha (Cronbach, 1951) is a commonly used measure of reliability. Feldt (1965) and Haks...
The objective of this study is to compare interval estimation methods for population means of positi...
Percentiles are used everyday in descriptive statistics and data analysis. In real life, many quanti...
2 pages, 1 article*A Monte Carlo Study of the Small Sample Validity of Confidence Interval Estimator...
Most of steady state simulation outputs are characterized by some degree of dependency between succe...
This paper investigates the performance of ten methods for constructing a confidence interval estima...
The coefficient of variation (CV), defined as the ratio of the standard deviation to the mean, is of...
Abstract Background Percentiles are widely used as reference limits for determining the relative mag...
The likelihood ratio method is used to construct a confidence interval for a population mean when sa...
Recent efforts to improve the analysis of multivariate data have included the use of confidence inte...
The coefficient of variation (CV) is a helpful quantity to describe the variation in evaluating resu...
Quantiles and percentiles represent useful statistical tools for describing the distribution of resu...
The confidence interval is an important statistical estimator of population location and dispersion ...
The confidence interval estimate of percentile and its applications were studied. The three methods ...
Computing a confidence interval for a population correlation coefficient is very important for resea...
Coefficient alpha (Cronbach, 1951) is a commonly used measure of reliability. Feldt (1965) and Haks...
The objective of this study is to compare interval estimation methods for population means of positi...
Percentiles are used everyday in descriptive statistics and data analysis. In real life, many quanti...
2 pages, 1 article*A Monte Carlo Study of the Small Sample Validity of Confidence Interval Estimator...
Most of steady state simulation outputs are characterized by some degree of dependency between succe...
This paper investigates the performance of ten methods for constructing a confidence interval estima...
The coefficient of variation (CV), defined as the ratio of the standard deviation to the mean, is of...
Abstract Background Percentiles are widely used as reference limits for determining the relative mag...
The likelihood ratio method is used to construct a confidence interval for a population mean when sa...
Recent efforts to improve the analysis of multivariate data have included the use of confidence inte...
The coefficient of variation (CV) is a helpful quantity to describe the variation in evaluating resu...
Quantiles and percentiles represent useful statistical tools for describing the distribution of resu...
The confidence interval is an important statistical estimator of population location and dispersion ...
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