The gamma distribution is often used as a model for positively skewed distributions. The median is better than the mean as the representative of the 'average' in such situations. Literature is available for inference concerning the mean of a gamma distribution, but the literature concerning the median of a gamma distribution is rare. In this paper we present a method for constructing confidence intervals for the median of a gamma distribution. The method involves inverting the likelihood ratio test to obtain 'large sample' confidence intervals. A difficulty arises as it is not possible to write the likelihood function in terms of the median. In this paper we propose a method to avoid this difficulty. The method works well even for moderatel...
The Gamma test is a fast non-parametric algorithm for estimating the noise variance in an input/outp...
This study was motivated by the question which type of confidence interval (CI) one should use to su...
Interval estimation of the scale parameter of the gamma distribution using grouped data is considere...
The gamma distribution is often used as a model for positively skewed distributions. The median is b...
The gamma distribution is often used as a model for positively skewed distributions. The median is b...
The gamma distribution is often used as a model for positively skewed distributions. The median is b...
Inferential methods for constructing an upper confidence limit for an upper percentile and for findi...
The skew-normal model is a class of distributions that extends the Gaussian family by including a sk...
The skew-normal model is a class of distributions that extends the Gaussian family by including a sk...
The skew-normal model is a class of distributions that extends the Gaussian family by including a sk...
The two parameter gamma distribution with mean [mu] and shape [tau] is widely used in reliability an...
The objective of this study is to compare interval estimation methods for population means of positi...
This thesis proposes some confidence intervals for the mean of a positively skewed distribution. The...
The skew normal model is a class of distributions that extends the Gaussian family by including a s...
The skew normal model is a class of distributions that extends the Gaussian family by including a s...
The Gamma test is a fast non-parametric algorithm for estimating the noise variance in an input/outp...
This study was motivated by the question which type of confidence interval (CI) one should use to su...
Interval estimation of the scale parameter of the gamma distribution using grouped data is considere...
The gamma distribution is often used as a model for positively skewed distributions. The median is b...
The gamma distribution is often used as a model for positively skewed distributions. The median is b...
The gamma distribution is often used as a model for positively skewed distributions. The median is b...
Inferential methods for constructing an upper confidence limit for an upper percentile and for findi...
The skew-normal model is a class of distributions that extends the Gaussian family by including a sk...
The skew-normal model is a class of distributions that extends the Gaussian family by including a sk...
The skew-normal model is a class of distributions that extends the Gaussian family by including a sk...
The two parameter gamma distribution with mean [mu] and shape [tau] is widely used in reliability an...
The objective of this study is to compare interval estimation methods for population means of positi...
This thesis proposes some confidence intervals for the mean of a positively skewed distribution. The...
The skew normal model is a class of distributions that extends the Gaussian family by including a s...
The skew normal model is a class of distributions that extends the Gaussian family by including a s...
The Gamma test is a fast non-parametric algorithm for estimating the noise variance in an input/outp...
This study was motivated by the question which type of confidence interval (CI) one should use to su...
Interval estimation of the scale parameter of the gamma distribution using grouped data is considere...