Add to ORKGThree measures of overlap, namely Matusita’s measureρ , Morisita’s measure λ and Weitzman’s measure Δ are investigated in this article for two exponential populations with different means. It is well that the estimators of those measures of overlap are biased. The bias is of these estimators depends on the unknown overlap parameters. There are no closed-form, exact formulas, for those estimators variances or their exact sampling distributions. Monte Carlo evaluations are used to study the bias and precision of the proposed overlap measures. Bootstrap method and Taylor series approximation are used to construct confidence intervals for the overlap measures
Every day cognitive and experimental researchers attempt to find evidence in support of their hypoth...
overlapping is an R package for estimating the overlapping area of two or more kernel density estima...
This paper proposes a convenient measure of the degree of distributional overlap, both parametric an...
Three measures of overlap, namely Matusita’s measureρ , Morisita’s measure λ and Weitzman’s measure ...
We consider using ranked set sampling methods to draw inference about the three well-known measures ...
Overlapping coefficient is a direct measure of similarity between two distributions which is recentl...
We consider using ranked set sampling methods to draw inference about the three well-known measures ...
In this paper we consider three measures of overlap, namely Matusia's measure ρ, Morisita's measure ...
Abstract. In this paper we consider three measures of overlap, namelyMatusia’s measure ρ, Morisita’s...
This paper investigates point and interval estimation for some well-known measures of overlap. Two t...
The overlap coefficient () measures the similarity between two distributions through the overlapping...
This is a preprint of an article whose final version has been published in Quantitative and Qualitat...
Comparing individual confidence intervals of two population means is an incorrect procedure for dete...
In non-inferiority testing, the decision of whether a proposed treatment is non-inferior to a refere...
Variants of Cohen’s d, in this instance dt and dadj, has the largest influence on U1 measures used w...
Every day cognitive and experimental researchers attempt to find evidence in support of their hypoth...
overlapping is an R package for estimating the overlapping area of two or more kernel density estima...
This paper proposes a convenient measure of the degree of distributional overlap, both parametric an...
Three measures of overlap, namely Matusita’s measureρ , Morisita’s measure λ and Weitzman’s measure ...
We consider using ranked set sampling methods to draw inference about the three well-known measures ...
Overlapping coefficient is a direct measure of similarity between two distributions which is recentl...
We consider using ranked set sampling methods to draw inference about the three well-known measures ...
In this paper we consider three measures of overlap, namely Matusia's measure ρ, Morisita's measure ...
Abstract. In this paper we consider three measures of overlap, namelyMatusia’s measure ρ, Morisita’s...
This paper investigates point and interval estimation for some well-known measures of overlap. Two t...
The overlap coefficient () measures the similarity between two distributions through the overlapping...
This is a preprint of an article whose final version has been published in Quantitative and Qualitat...
Comparing individual confidence intervals of two population means is an incorrect procedure for dete...
In non-inferiority testing, the decision of whether a proposed treatment is non-inferior to a refere...
Variants of Cohen’s d, in this instance dt and dadj, has the largest influence on U1 measures used w...
Every day cognitive and experimental researchers attempt to find evidence in support of their hypoth...
overlapping is an R package for estimating the overlapping area of two or more kernel density estima...
This paper proposes a convenient measure of the degree of distributional overlap, both parametric an...