✦ LIBER ✦

A goodness of fit test for the Poisson distribution based on the empirical generating function

✍ Scribed by L. Baringhaus; N. Henze

Publisher: Elsevier Science
Year: 1992
Tongue: English
Weight: 422 KB
Volume: 13
Category: Article
ISSN: 0167-7152
DOI: 10.1016/0167-7152(92)90033-2

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Goodness-of-Fit Tests for a Multivariate

Goodness-of-Fit Tests for a Multivariate Distribution by the Empirical Characteristic Function

✍ Yanqin Fan 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 422 KB

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 function approach suggested in Parzen (1979), our approach is applicable to both univariate and multivariate data; Secon

Testing the goodness of fit of the multi

Testing the goodness of fit of the multinomial distribution based on graphical representation

✍ Kazumasa Wakimoto; Yoshimasa Odaka; Lee-jung Kang 📂 Article 📅 1987 🏛 Elsevier Science 🌐 English ⚖ 453 KB

Assessing the influence of individual ob

Assessing the influence of individual observations on a goodness-of-fit test based on nonparametric regression

✍ Jeffrey S. Simonoff; Chih-Ling Tsai 📂 Article 📅 1991 🏛 Elsevier Science 🌐 English ⚖ 580 KB

A Kolmogorov - Smirnov goodness-of-fit t

A Kolmogorov - Smirnov goodness-of-fit test for the two-parameter weibull distribution when the parameters are estimated from the data

✍ F.G Parsons; P.H Wirsching 📂 Article 📅 1982 🏛 Elsevier Science 🌐 English ⚖ 240 KB

Approximating the distribution of an ext

Approximating the distribution of an extreme value statistic based on estimated from a generating function

✍ William P. McCormick; Jack H. Reeves 📂 Article 📅 1987 🏛 Elsevier Science 🌐 English ⚖ 492 KB

A note on scale estimates based on the e

A note on scale estimates based on the empirical characteristic function and their application to test for normality

✍ A.H. Welsh 📂 Article 📅 1984 🏛 Elsevier Science 🌐 English ⚖ 234 KB