Notes on two sample tests for partially correlated (paired) data
We provide several methods to compare two Gaussian distributed means in the two sample
location problems under the assumption of partially dependent observations. Simulation …
location problems under the assumption of partially dependent observations. Simulation …
Inference on overlap coefficients under the Weibull distribution: Equal shape parameter
O Al-Saidy, HM Samawi, MF Al-Saleh - ESAIM: Probability and …, 2005 - cambridge.org
In this paper we consider three measures of overlap, namely Matusia's measure ρ, Morisita's
measure λ and Weitzman's measure Δ. These measures are usually used in quantitative …
measure λ and Weitzman's measure Δ. These measures are usually used in quantitative …
A nonparametric test of symmetry based on the overlapping coefficient
In this paper, we introduce a new nonparametric test of symmetry based on the empirical
overlap coefficient using kernel density estimation. Our investigation reveals that the new …
overlap coefficient using kernel density estimation. Our investigation reveals that the new …
Inference on overlapping coefficients in two exponential populations using ranked set sampling
HM Samawi, MF Al-Saleh - Communications for Statistical …, 2008 - koreascience.kr
We consider using ranked set sampling methods to draw inference about the three well-
known measures of overlap, namely Matusita's measure $\rho $, Morisita's measure …
known measures of overlap, namely Matusita's measure $\rho $, Morisita's measure …
On Inference of Overlapping Coefficients in Two Lomax Populations Using Different Sampling Methods
This paper investigates point and interval estimation for some well-known measures of
overlap. Two types of sampling procedures, namely, Simple Random Sample and Ranked …
overlap. Two types of sampling procedures, namely, Simple Random Sample and Ranked …
On estimation of overlapping measures for exponential populations under progressive first failure censoring
Overlapping coefficient is a direct measure of similarity between two distributions which is
recently becoming very useful in many fields of applications including microarray analysis …
recently becoming very useful in many fields of applications including microarray analysis …
Nonparametric overlap coefficient estimation using ranked set sampling
Ranked set sampling is used to produce a nonparametric kernel estimator of the overlap
measure. Some asymptotic properties of the kernel estimator of overlap measure are …
measure. Some asymptotic properties of the kernel estimator of overlap measure are …
Mean functional estimation with non-ignorable missing data using influential exponential tilting resampling approach
Inference with incomplete data, especially non-ignorable, is one of the challenging tasks in
data analysis. Moreover, it is well known that results obtained from incomplete data are …
data analysis. Moreover, it is well known that results obtained from incomplete data are …
Model parameters estimation with non-ignorable missing data using influential exponential tilting resampling approach
This paper proposes to extend [1] mean functional estimation method based on the
influential exponential tilting resampling approach (ITRA) to address non-ignorable missing …
influential exponential tilting resampling approach (ITRA) to address non-ignorable missing …
On the inference of partially correlated data with applications to public health issues
Correlated or matched data is frequently collected under many study designs in applied
sciences such as the social, behavioral, economic, biological, medical, epidemiologic …
sciences such as the social, behavioral, economic, biological, medical, epidemiologic …