For normally distributed populations, we obtain confidence bounds on a ratio of two coefficients of variation, provide a test for the equality of k coefficients of variation, and provide confidence bounds on a coefficient of variation shared by k populations
The asymptotic distribution for the ratio of sample variances in two independent populations is est...
Confidence statements about location (or scale) parameters associated with k populations, which may ...
The main objective of this thesis is to determine asymptotic distribution of sample correlation coef...
For normally distributed populations, we obtain confidence bounds on a ratio of two coefficients of ...
This paper presents three confidence intervals for the coefficient of variation in a normal distribu...
In this paper we proposed two new confidence intervals for the normal population mean with known coe...
Two tests are derived for the hypothesis that the coefficients of variation of k normal populations ...
Inference for the coefficient of variation in normal distributions is considered. An explicit estima...
One of the most accessible and useful statistical tools for comparing independent populations in dif...
In this paper we proposed the new confidence interval for the normal population mean with known coef...
The natural parameter space is known to be bounded in many real applications such as engineering, sc...
Basic inferential methods for analysing coefficients of variation in normally distributed data are s...
In a number of situations, for example in biology, psychology and neurosciences, researchers are int...
The coefficient of variation is useful to measure and compare the dispersion of the data when differ...
In this paper, we propose two new confidence intervals for the inverse of a normal mean with a known...
The asymptotic distribution for the ratio of sample variances in two independent populations is est...
Confidence statements about location (or scale) parameters associated with k populations, which may ...
The main objective of this thesis is to determine asymptotic distribution of sample correlation coef...
For normally distributed populations, we obtain confidence bounds on a ratio of two coefficients of ...
This paper presents three confidence intervals for the coefficient of variation in a normal distribu...
In this paper we proposed two new confidence intervals for the normal population mean with known coe...
Two tests are derived for the hypothesis that the coefficients of variation of k normal populations ...
Inference for the coefficient of variation in normal distributions is considered. An explicit estima...
One of the most accessible and useful statistical tools for comparing independent populations in dif...
In this paper we proposed the new confidence interval for the normal population mean with known coef...
The natural parameter space is known to be bounded in many real applications such as engineering, sc...
Basic inferential methods for analysing coefficients of variation in normally distributed data are s...
In a number of situations, for example in biology, psychology and neurosciences, researchers are int...
The coefficient of variation is useful to measure and compare the dispersion of the data when differ...
In this paper, we propose two new confidence intervals for the inverse of a normal mean with a known...
The asymptotic distribution for the ratio of sample variances in two independent populations is est...
Confidence statements about location (or scale) parameters associated with k populations, which may ...
The main objective of this thesis is to determine asymptotic distribution of sample correlation coef...