The empirical characteristic function (ECF) has been in use in statistical inference for nearly fifty years now. We provide an overview of testing procedures based on the ECF within certain statistical models. Specifically our emphasis is on recent developments of ECF procedures for goodness-of-fit testing for parametric families of distributions with structured data, and for the two-sample and the k-sample problem
The use of goodness-of-fit test statistics for discrete or categorical data is widespread throughout...
We introduce a family of statistics, based on the empirical moment generating function, for testing...
<p>Empirical cumulative distribution function (ECDF) of the -values under the null for binary trait....
ABSTRACT. We review the most recent developments in the area of testing by the empirical characteris...
summary:Test procedures are constructed for testing the goodness-of-fit in parametric regression mod...
Bibliography: pages 36-38.Much research has been done recently on the application of the empirical c...
The empirical characteristic function is considered as a tool for large sample testing of a hypothes...
The goodness-of-fit test of Towhidi and Salmanpour (2007), which is based on the empirical character...
AbstractIn this paper, we take the characteristic function approach to goodness-of-fit tests. It has...
The goodness-of-fit test of Towhidi and Salmanpour (2007), which is based on the empirical character...
First of all, we would like to congratulate the author for writing this interesting and timely revie...
Lévy processes have been receiving increasing attention in financial modeling. One distinctive featu...
For a long time, the goodness of fit (GOF) tests have been one of the main objects of the theory of ...
Let us start with a random sample X1, . . . , Xn that is independent and identically distributed and...
The term Goodness–of–Fit (Gof) was introduced by Pearson at the beginning of the last century and re...
The use of goodness-of-fit test statistics for discrete or categorical data is widespread throughout...
We introduce a family of statistics, based on the empirical moment generating function, for testing...
<p>Empirical cumulative distribution function (ECDF) of the -values under the null for binary trait....
ABSTRACT. We review the most recent developments in the area of testing by the empirical characteris...
summary:Test procedures are constructed for testing the goodness-of-fit in parametric regression mod...
Bibliography: pages 36-38.Much research has been done recently on the application of the empirical c...
The empirical characteristic function is considered as a tool for large sample testing of a hypothes...
The goodness-of-fit test of Towhidi and Salmanpour (2007), which is based on the empirical character...
AbstractIn this paper, we take the characteristic function approach to goodness-of-fit tests. It has...
The goodness-of-fit test of Towhidi and Salmanpour (2007), which is based on the empirical character...
First of all, we would like to congratulate the author for writing this interesting and timely revie...
Lévy processes have been receiving increasing attention in financial modeling. One distinctive featu...
For a long time, the goodness of fit (GOF) tests have been one of the main objects of the theory of ...
Let us start with a random sample X1, . . . , Xn that is independent and identically distributed and...
The term Goodness–of–Fit (Gof) was introduced by Pearson at the beginning of the last century and re...
The use of goodness-of-fit test statistics for discrete or categorical data is widespread throughout...
We introduce a family of statistics, based on the empirical moment generating function, for testing...
<p>Empirical cumulative distribution function (ECDF) of the -values under the null for binary trait....