The asymptotic formula for the variance of a percentile estimate is inversely proportional to the square of the probability density function evaluated at that percentile. In this note we show, for small and moderate sample sizes, that the estimate of the variance can have a moderate to large coefficient of variation even when the form of the density is known. When the density must be estimated empirically, the coefficient of variation increases substantially. We conclude that the estimate of the variance should not be used in either confidence interval estimation or hypothesis testing except for very large sample sizes.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/25275/1/0000718.pd
Quantiles and percentiles represent useful statistical tools for describing the distribution of resu...
The variance ratio test statistic, which is based on k-period differences of the data, is commonly u...
summary:A linear model with approximate variance components is considered. Differences among approxi...
Abstract: The asymptotic formula for the variance of a percentile stimate is inversely proportional ...
Percentiles are used everyday in descriptive statistics and data analysis. In real life, many quanti...
Confidence intervals must be robust in having nominal and actual probability coverage in close agree...
Planning a study using the General Linear Univariate Model often involves sample size calculation ba...
International audienceWe show that, in the random coefficients logit model, standard inference proce...
The coefficient of variation (CV), defined as the ratio of the standard deviation to the mean, is of...
<p>The jackknife estimation of variance for the median, using the original measurement scale, has be...
The coefficient of variation (CV) is a helpful quantity to describe the variation in evaluating resu...
The confidence interval estimate of percentile and its applications were studied. The three methods ...
We first consider confidence intervals for a normal percentile, an exponential percentile and a unif...
We develops a general theory for variance function estimation in regression. Most methods in common ...
Proportion estimators are quite frequently used in many application areas. The conventional proporti...
Quantiles and percentiles represent useful statistical tools for describing the distribution of resu...
The variance ratio test statistic, which is based on k-period differences of the data, is commonly u...
summary:A linear model with approximate variance components is considered. Differences among approxi...
Abstract: The asymptotic formula for the variance of a percentile stimate is inversely proportional ...
Percentiles are used everyday in descriptive statistics and data analysis. In real life, many quanti...
Confidence intervals must be robust in having nominal and actual probability coverage in close agree...
Planning a study using the General Linear Univariate Model often involves sample size calculation ba...
International audienceWe show that, in the random coefficients logit model, standard inference proce...
The coefficient of variation (CV), defined as the ratio of the standard deviation to the mean, is of...
<p>The jackknife estimation of variance for the median, using the original measurement scale, has be...
The coefficient of variation (CV) is a helpful quantity to describe the variation in evaluating resu...
The confidence interval estimate of percentile and its applications were studied. The three methods ...
We first consider confidence intervals for a normal percentile, an exponential percentile and a unif...
We develops a general theory for variance function estimation in regression. Most methods in common ...
Proportion estimators are quite frequently used in many application areas. The conventional proporti...
Quantiles and percentiles represent useful statistical tools for describing the distribution of resu...
The variance ratio test statistic, which is based on k-period differences of the data, is commonly u...
summary:A linear model with approximate variance components is considered. Differences among approxi...