AbstractIt is well known that Bartlett adjustment yields an improvement on the chi-squared approximations to the likelihood ratio test statistics. However, it is not possible to obtain such an improvement for some test statistics. Typical examples are the score test statistic and Hotelling'sT2-statistic. The purpose of the present paper is to give a general method for improving on the chi-squared approximation. The method suggested is based on a monotone transformation
This thesis deals with a general class of transformation models that contains many important semipar...
In this paper, we propose a likelihood ratio test statistic for the monotone rank estimators on the ...
In many problems, a sensible estimator of a possibly multivariate monotone function may fail to be m...
AbstractIt is well known that Bartlett adjustment yields an improvement on the chi-squared approxima...
AbstractSuppose that a nonnegative statistic T is asymptotically distributed as a chi-squared distri...
Suppose that a statistic $S$ is asymptotically distributed as a distribution function $G(x)$ as some...
AbstractThe Bartlett-type adjustment is a higher-order asymptotic method for improving the chi-squar...
AbstractIn logistic regression models, we consider the deviance statistic (the log likelihood ratio ...
This paper derives transformations for multivariate statistics that eliminate asymptotic skewness, e...
AbstractFor testing the hypothesis of equality of two covariances (Σ1 and Σ2) of two p-dimensional m...
Abstract. Suppose that a statistic S is asymptotically distributed as a distri-bution function G(x) ...
In this thesis we examine the derivation of asymptotic expansion approximations to the cumulative di...
This paper proposes an empirical likelihood inference method for monotone index models. We construct...
Suppose a random variable has a density belonging to a one parameter family which has strict monoton...
Cordeiro & Ferrari (1991) use the asymptotic expansion of Harris (1985) for the moment generating fu...
This thesis deals with a general class of transformation models that contains many important semipar...
In this paper, we propose a likelihood ratio test statistic for the monotone rank estimators on the ...
In many problems, a sensible estimator of a possibly multivariate monotone function may fail to be m...
AbstractIt is well known that Bartlett adjustment yields an improvement on the chi-squared approxima...
AbstractSuppose that a nonnegative statistic T is asymptotically distributed as a chi-squared distri...
Suppose that a statistic $S$ is asymptotically distributed as a distribution function $G(x)$ as some...
AbstractThe Bartlett-type adjustment is a higher-order asymptotic method for improving the chi-squar...
AbstractIn logistic regression models, we consider the deviance statistic (the log likelihood ratio ...
This paper derives transformations for multivariate statistics that eliminate asymptotic skewness, e...
AbstractFor testing the hypothesis of equality of two covariances (Σ1 and Σ2) of two p-dimensional m...
Abstract. Suppose that a statistic S is asymptotically distributed as a distri-bution function G(x) ...
In this thesis we examine the derivation of asymptotic expansion approximations to the cumulative di...
This paper proposes an empirical likelihood inference method for monotone index models. We construct...
Suppose a random variable has a density belonging to a one parameter family which has strict monoton...
Cordeiro & Ferrari (1991) use the asymptotic expansion of Harris (1985) for the moment generating fu...
This thesis deals with a general class of transformation models that contains many important semipar...
In this paper, we propose a likelihood ratio test statistic for the monotone rank estimators on the ...
In many problems, a sensible estimator of a possibly multivariate monotone function may fail to be m...