𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A fully nonparametric diagnostic test for homogeneity of variances

✍ Scribed by Lan Wang; Xiao-Hua Zhou

Publisher
John Wiley and Sons
Year
2005
Tongue
French
Weight
711 KB
Volume
33
Category
Article
ISSN
0319-5724

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

A Monte Carlo Test for Variance Homogene
A Monte Carlo Test for Variance Homogeneity in Linear Models
✍ Hans-Peter Piepho πŸ“‚ Article πŸ“… 1996 πŸ› John Wiley and Sons 🌐 English βš– 625 KB

A Monte Carlo procedure is proposed for testing homogeneity of variances in linear models. The method is applicable to a variety of common experimental designs. It is valid when errors are independently normally distributed. Under nonnormality the test is expected to behave robust in a similar fashi

The Power of a Nonparametric Test for Se
The Power of a Nonparametric Test for Seasonality
✍ Dr. Osvaldo Marrero πŸ“‚ Article πŸ“… 2007 πŸ› John Wiley and Sons 🌐 English βš– 378 KB πŸ‘ 2 views

A computer simulation study waa carried out to assess the performance of the test for seasonality of HE^ et aI. with monthly incidence rates. This test can be very powerful against an allnus1 sinusoidal pattern. The test's power agaiust a semi-annual sinusoidal pattern or against a "onepulse" patter

A Nonparametric Test for Differences in
A Nonparametric Test for Differences in the Dispersion of Dependent Samples
✍ Dr. K. Boehnke πŸ“‚ Article πŸ“… 1989 πŸ› John Wiley and Sons 🌐 English βš– 477 KB πŸ‘ 2 views

A new statistic A to test the hypothesis of a difference in the dispersion of two dependent samples of ordinal data quality is proposed. It draws on the idea of rank assignment originally forwarded by SIEGBL and TWEY (1960). No exact probability levels can be given for this statistic for the time be

A Nonparametric Test of Serial Independe
A Nonparametric Test of Serial Independence for Time Series and Residuals
✍ Kilani Ghoudi; Reg J. Kulperger; Bruno RΓ©millard πŸ“‚ Article πŸ“… 2001 πŸ› Elsevier Science 🌐 English βš– 349 KB

This paper presents nonparametric tests of independence that can be used to test the independence of p random variables, serial independence for time series, or residuals data. These tests are shown to generalize the classical portmanteau statistics. Applications to both time series and regression r