We extend to score, Wald and difference test statistics the scaled and adjusted corrections to goodness-of-fit test statistics developed in Satorra and Bentler (1988a,b). The theory is framed in the general context of multisample analysis of moment structures, under general conditions on the distribution of observable variables. Computational issues, as well as the relation of the scaled and corrected statistics to the asymptotic robust ones, is discussed. A Monte Carlo study illustrates the comparative performance in finite samples of corrected score test statistics
This article promotes the use of modern test theory in testing situations where sum scores for binar...
Abstract: Problem statement: Most of the statistical procedures heavily depend on normality assumpti...
This article considers the problem of testing many moment inequalities where the number of moment in...
A family of scaling corrections aimed to improve the chi-square approximation of goodness-of-fit te...
AbstractAsymptotic chi-squared test statistics for testing the equality of moment vectors are develo...
Asymptotic chi-squared test statistics for testing the equality of moment vectors are developed. The...
Smooth tests of goodness of fit may be constructed by defining an order k alternative to the hypothe...
Asymptotic chi-squared test statistics for testing the equality of moment vectors are developed. The...
In moment structure analysis with nonnormal data, asymptotic valid inferences require the computati...
Abstract. This paper considers the problem of testing many moment inequalities where the number of m...
The following material is focused on the statistical inference of moment structure models. Although ...
Abstract This paper considers the problem of testing a finite number of moment inequalities. We prop...
In this paper there are at first described classical goodness-of-fit tests - the Pear- son's χ2 test...
Likelihood ratio, score, and Wald tests statistics are asymptotically equivalent. This statement is ...
In this thesis we introduce, implement and compare several multivariate goodness-of-fit tests. First...
This article promotes the use of modern test theory in testing situations where sum scores for binar...
Abstract: Problem statement: Most of the statistical procedures heavily depend on normality assumpti...
This article considers the problem of testing many moment inequalities where the number of moment in...
A family of scaling corrections aimed to improve the chi-square approximation of goodness-of-fit te...
AbstractAsymptotic chi-squared test statistics for testing the equality of moment vectors are develo...
Asymptotic chi-squared test statistics for testing the equality of moment vectors are developed. The...
Smooth tests of goodness of fit may be constructed by defining an order k alternative to the hypothe...
Asymptotic chi-squared test statistics for testing the equality of moment vectors are developed. The...
In moment structure analysis with nonnormal data, asymptotic valid inferences require the computati...
Abstract. This paper considers the problem of testing many moment inequalities where the number of m...
The following material is focused on the statistical inference of moment structure models. Although ...
Abstract This paper considers the problem of testing a finite number of moment inequalities. We prop...
In this paper there are at first described classical goodness-of-fit tests - the Pear- son's χ2 test...
Likelihood ratio, score, and Wald tests statistics are asymptotically equivalent. This statement is ...
In this thesis we introduce, implement and compare several multivariate goodness-of-fit tests. First...
This article promotes the use of modern test theory in testing situations where sum scores for binar...
Abstract: Problem statement: Most of the statistical procedures heavily depend on normality assumpti...
This article considers the problem of testing many moment inequalities where the number of moment in...