The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

A test for normality based on the empirical characteristic function Page 1 Miscellanea 723
Biometrika (1983), 70, 3, pp. 723-6 Printed in Great Britain A test for normality based on the …

This book is mainly about goodness-of-fit testing, particularly about tests for the one-and the
two-and K-sample problems. In the one-sample problem we need to test the hypothesis that …

The standardized spectral density completely describes serial dependence of a Gaussian
process. For non-Gaussian processes, however, it may become an inappropriate analytic …

On the Efficiency of Empirical Characteristic Function Procedures Page 1 JR Statist. Soc. B (1981),
43, No. 1, pp. 20-27 On the Efficiency of Empirical Characteristic Function Procedures By …

The empirical characteristic function (CF) is the Fourier transform of the sample distribution
function. The values of its real and imaginary parts at some real number t are merely sample …

In this paper, we take the characteristic function approach to goodness-of-fit tests. It has
several advantages over existing methods: First, unlike the popular comparison density …

The goodness-of-fit test using the empirical characteristic function proposed by Koutrouvelis
(1980) is extended to the case where parameters must be estimated. The proposed test …

SUMMARY A test of exponentiality is proposed which is consistent for alternatives with
monotone failure rate. Derived as a weighted integral of the difference between the …

A preeminent expert in the field explores new and exciting methodologies in the ever-
growing field of robust statistics Used to develop data analytical methods, which are …