The purpose of the present study was to assess the probability of coverage and interval length of selected statistical techniques that have a higher finite sample breakdown point than the mean and appropriate levels of probability of coverage when using Bradley’s (1978) criterion. The techniques were examined using real education and psychology datasets (Sawilowsky & Fahoome, 2003, Sawilowsky & Blair, 1992). Welch’s test exhibited appropriate coverage for the smooth symmetric, mass at zero, digit preference, and extreme bimodal distributions. Yuen’s technique performed well under an extreme bimodal distribution. Results concerning the Maritz-Jarrett and the McKean-Schrader techniques are also presented
The squared multiple semipartial correlation coefficient is the increase in the squared multiple cor...
Wald-z asymptotic methods, with and without a continuity correction, have less than nominal coverage...
Confidence intervals for the mean of one sample and the difference in means of two independent sampl...
Coverage for Welch’s technique was less than the confidence-level when size was inversely proportion...
The probability coverage of intervals involving robust estimates of effect size based on seven proce...
Confidence intervals must be robust in having nominal and actual probability coverage in close agree...
This study constructed a quadratic-based interval estimator for binomial proportion p. The modified ...
The median confidence interval is useful for one parameter families, such as the exponential distrib...
The performances of confidence interval (CI) estimates of mean for skewed distributions are compared...
Wardell (1997) provided a method for constructing confidence intervals on a proportion that modifies...
“The purpose of this thesis is to briefly review various properties which may be desirable for a sys...
We revisit the problem of interval estimation of a binomial proportion. The erratic behavior of the ...
A combination of hypothesis testing and confidence interval construction is often used in social and...
When outcome data in a clinical trial are clustered and binary, such as in a trial estimating the sp...
It is good scientific practice to the report an appropriate estimate of effect size and a confidence...
The squared multiple semipartial correlation coefficient is the increase in the squared multiple cor...
Wald-z asymptotic methods, with and without a continuity correction, have less than nominal coverage...
Confidence intervals for the mean of one sample and the difference in means of two independent sampl...
Coverage for Welch’s technique was less than the confidence-level when size was inversely proportion...
The probability coverage of intervals involving robust estimates of effect size based on seven proce...
Confidence intervals must be robust in having nominal and actual probability coverage in close agree...
This study constructed a quadratic-based interval estimator for binomial proportion p. The modified ...
The median confidence interval is useful for one parameter families, such as the exponential distrib...
The performances of confidence interval (CI) estimates of mean for skewed distributions are compared...
Wardell (1997) provided a method for constructing confidence intervals on a proportion that modifies...
“The purpose of this thesis is to briefly review various properties which may be desirable for a sys...
We revisit the problem of interval estimation of a binomial proportion. The erratic behavior of the ...
A combination of hypothesis testing and confidence interval construction is often used in social and...
When outcome data in a clinical trial are clustered and binary, such as in a trial estimating the sp...
It is good scientific practice to the report an appropriate estimate of effect size and a confidence...
The squared multiple semipartial correlation coefficient is the increase in the squared multiple cor...
Wald-z asymptotic methods, with and without a continuity correction, have less than nominal coverage...
Confidence intervals for the mean of one sample and the difference in means of two independent sampl...