Add to ORKGIn this paper, a confidence interval is derived for the difference between the standard deviations of normal distributions using the method of variance of estimates recovery. This confidence interval was improved using the estimators of the standard deviations using ranked set sampling (RSS) instead of the standard method using simple random sampling (SRS). An evaluation of the performance of the proposed confidence interval based on RSS compared to the existing one based on SRS was conducted via a Monte Carlo simulation study. The results revealed that the proposed confidence interval based on RSS performed more efficient than the existing one based on SRS in terms of the coverage probability and average length. A confidence interval compa...
The foundation of any statistical inference depends on the collection of required data through some ...
Confidence intervals must be robust in having nominal and actual probability coverage in close agree...
The confidence interval is an important statistical estimator of population location and dispersion ...
In this paper,a confidence interval is derived for the difference between the standard deviations of...
Bayesian inference of the variance of the normal distribution is considered using moving extremes ra...
This paper investigates the performance of ten methods for constructing a confidence interval estima...
In this paper, an approximate asymptotic confidence interval for the population standard deviation (...
In this paper, different goodness of fit tests for the Rayleigh distribution are considered based on...
Inference for the system reliability R is one of the most popular problems in the areas of engineeri...
In this paper we address the problem of estimation of the variance of a normal population based on a...
Motivated by the recent work of Herbert, Hayen, Macaskill and Walter [Interval estimation for the di...
In this paper a robust estimator against outliers along with some other existing interval estimators...
In environmental and many other areas, the main focus of survey is to measureelements using an effic...
Many sampling methods have been suggested for estimating the population median. In the situation whe...
Ranked set sampling (RSS) is an advanced data collection method when the exact measurement of an obs...
The foundation of any statistical inference depends on the collection of required data through some ...
Confidence intervals must be robust in having nominal and actual probability coverage in close agree...
The confidence interval is an important statistical estimator of population location and dispersion ...
In this paper,a confidence interval is derived for the difference between the standard deviations of...
Bayesian inference of the variance of the normal distribution is considered using moving extremes ra...
This paper investigates the performance of ten methods for constructing a confidence interval estima...
In this paper, an approximate asymptotic confidence interval for the population standard deviation (...
In this paper, different goodness of fit tests for the Rayleigh distribution are considered based on...
Inference for the system reliability R is one of the most popular problems in the areas of engineeri...
In this paper we address the problem of estimation of the variance of a normal population based on a...
Motivated by the recent work of Herbert, Hayen, Macaskill and Walter [Interval estimation for the di...
In this paper a robust estimator against outliers along with some other existing interval estimators...
In environmental and many other areas, the main focus of survey is to measureelements using an effic...
Many sampling methods have been suggested for estimating the population median. In the situation whe...
Ranked set sampling (RSS) is an advanced data collection method when the exact measurement of an obs...
The foundation of any statistical inference depends on the collection of required data through some ...
Confidence intervals must be robust in having nominal and actual probability coverage in close agree...
The confidence interval is an important statistical estimator of population location and dispersion ...