Regression to the mean is the term used to describe the effect by which individuals selected on the basis of an initial measurement which is particularly high or low compared with other members of the population have, upon remeasurement, values nearer to the population mean. For the normal distribution simple expressions for estimates of the magnitude of this effect are available. Many biological variables, however, are not normally distributed. Estimates for regression to the mean for nonnormal data are given based on Edgeworth series and saddlepoint approximations. Some key words: Edgeworth series; Regression to the mean; Saddlepoint approximation. 1
Title: Statistical inference based on saddlepoint approximations Author: Radka Sabolová Abstract: Th...
Correction of correlations diminished by range re-striction is a commonly suggested psychometric tec...
Often scientific information on various data generating processes are presented in the from of numer...
In this paper, some of the familiar transformations of r are examined for their robustness to nonnor...
Approximate distributions of the sample coefficient alpha under nonnormality as well as normality ar...
AbstractIn this paper, some of the familiar transformations of r are examined for their robustness t...
Non-normal variation across repeated measurements leads to nonlinear and heteroskedastic regression ...
We obtain saddlepoint approximations for tail probabilities of the Studentized ratio and regression ...
Saddlepoint approximations of marginal densities and tail probabilities of general nonlinear statist...
Chapter two derives saddlepoint approximations for the density and distribution of a ratio of non-ce...
Saddlepoint approximations of marginal densities and tail probabilities of general nonlinear statist...
The effect of a nonlinear regression function on the accuracy of the restriction of range correctio...
The character of nonparametric statistical methods is that they are constructed for very general sit...
Geary (Biometrika 34, 1947) has introduced a differential series for the density function of Student...
Abstract Background Regression to the mean (RTM) occurs in situations of repeated measurements when ...
Title: Statistical inference based on saddlepoint approximations Author: Radka Sabolová Abstract: Th...
Correction of correlations diminished by range re-striction is a commonly suggested psychometric tec...
Often scientific information on various data generating processes are presented in the from of numer...
In this paper, some of the familiar transformations of r are examined for their robustness to nonnor...
Approximate distributions of the sample coefficient alpha under nonnormality as well as normality ar...
AbstractIn this paper, some of the familiar transformations of r are examined for their robustness t...
Non-normal variation across repeated measurements leads to nonlinear and heteroskedastic regression ...
We obtain saddlepoint approximations for tail probabilities of the Studentized ratio and regression ...
Saddlepoint approximations of marginal densities and tail probabilities of general nonlinear statist...
Chapter two derives saddlepoint approximations for the density and distribution of a ratio of non-ce...
Saddlepoint approximations of marginal densities and tail probabilities of general nonlinear statist...
The effect of a nonlinear regression function on the accuracy of the restriction of range correctio...
The character of nonparametric statistical methods is that they are constructed for very general sit...
Geary (Biometrika 34, 1947) has introduced a differential series for the density function of Student...
Abstract Background Regression to the mean (RTM) occurs in situations of repeated measurements when ...
Title: Statistical inference based on saddlepoint approximations Author: Radka Sabolová Abstract: Th...
Correction of correlations diminished by range re-striction is a commonly suggested psychometric tec...
Often scientific information on various data generating processes are presented in the from of numer...