Choosing the best ϕ-divergence goodness-of-fit statistic in multinomial sampling for loglinear models with linear constraints

Title:

Choosing the best ϕ-divergence goodness-of-fit statistic in multinomial sampling for loglinear models with linear constraints

Creator:

Martin, Nirian and Pardo, Leandro

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:642adaae-4d3a-418c-944a-2312239699aa
uuid:642adaae-4d3a-418c-944a-2312239699aa

Subject:

loglinear models, multinomial sampling, restricted maximum likelihood estimator, goodness-of-fit, Ir-divergence measure, and Rényi´s divergence measure

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

In this paper we present a simulation study to analyze the behavior of the ϕ-divergence test statistics in the problem of goodness-of-fit for loglinear models with linear constraints and multinomial sampling. We pay special attention to the Rényi's and Ir-divergence measures.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Coverage:

[711]-722

Source:

Kybernetika | 2006 Volume:42 | Number:6

Harvested from:

CDK

Metadata only:

false