The multiple procedure for stepwise regression analysis presented in this paper is based on traditional methods, such as F-lest and test of partial correlations. This procedure, having multiple testing character, keeps the multiple significance level at a predetermined value, at least approximately. This approach a way of dealing with, and reporting includes the dependencies among the explanatory variables, including their impact on the dependent one the procedure suggested in this paper does not introduce any new tests of call for any new distributions.Procedura wielokrotna krocząca jest oparta na tradycyjnych testach z analizy regresji takich jak testy F oraz testy korelacji cząstkowej. Nowa procedura utrzymuje wielokrotny poziom istotnoś...
The most popular multiple testing procedures are stepwise procedures based on P-values for individua...
<p>Results of multiple stepwise regression analysis for independence of factors contributing to the ...
Metoda krokowej regresji wielokrotnej pozwala wybrać funkcje o możliwie małej liczbie zmiennych niez...
<p>Stepwise multiple regression analysis using the difference between the first and second scores as...
<p>Multiple regression analyses based on the stepwise method in first-order Markov chain.</p
This paper identifies specific problems with stepwise regression, notes criticisms of stepwise metho...
In this paper we present how to apply the ideas of bootstrap and closed testing procedures on a mul...
For multivariate normal models and exponential family models a multiple testing stepwise method is o...
It is common in econometric applications that several hypothesis tests are carried out at the same t...
<p>Multiple regression analyses based on the stepwise method in second-order Markov chain.</p
Stepwise regression routines are rapidly becoming a standard leature of large-scale computer statist...
<p>Multiple regression analyses based on the stepwise method in third-order Markov chain.</p
MULTIPLE regression studies requiring subsets of predictors from a much larger pool of variables can...
We presented some properties of new procedures of multiple hypotheses testing for discrete distribu...
Step-down analysis is a multivariate technique that examines dependent variables across groups by us...
The most popular multiple testing procedures are stepwise procedures based on P-values for individua...
<p>Results of multiple stepwise regression analysis for independence of factors contributing to the ...
Metoda krokowej regresji wielokrotnej pozwala wybrać funkcje o możliwie małej liczbie zmiennych niez...
<p>Stepwise multiple regression analysis using the difference between the first and second scores as...
<p>Multiple regression analyses based on the stepwise method in first-order Markov chain.</p
This paper identifies specific problems with stepwise regression, notes criticisms of stepwise metho...
In this paper we present how to apply the ideas of bootstrap and closed testing procedures on a mul...
For multivariate normal models and exponential family models a multiple testing stepwise method is o...
It is common in econometric applications that several hypothesis tests are carried out at the same t...
<p>Multiple regression analyses based on the stepwise method in second-order Markov chain.</p
Stepwise regression routines are rapidly becoming a standard leature of large-scale computer statist...
<p>Multiple regression analyses based on the stepwise method in third-order Markov chain.</p
MULTIPLE regression studies requiring subsets of predictors from a much larger pool of variables can...
We presented some properties of new procedures of multiple hypotheses testing for discrete distribu...
Step-down analysis is a multivariate technique that examines dependent variables across groups by us...
The most popular multiple testing procedures are stepwise procedures based on P-values for individua...
<p>Results of multiple stepwise regression analysis for independence of factors contributing to the ...
Metoda krokowej regresji wielokrotnej pozwala wybrać funkcje o możliwie małej liczbie zmiennych niez...