Literature DB >> 9384649

A Weibull-based score test for heterogeneity.

A C Kimber1.   

Abstract

The Weibull distribution is a natural starting point in the modelling of failure times in reliability, material strength data and many other applications that involve lifetime data. In recent years there has been a growing interest in modelling heterogeneity within this context. A natural approach is to consider a mixture, either discrete or continuous, of Weibull distributions. A judicious choice of mixing distribution yields a tractable and flexible generalization of the Weibull distribution. In this note a score test for detecting heterogeneity in this context is discussed and illustrated using some infant nutrition data.

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Year:  1996        PMID: 9384649     DOI: 10.1007/bf00128471

Source DB:  PubMed          Journal:  Lifetime Data Anal        ISSN: 1380-7870            Impact factor:   1.588


  6 in total

1.  A repeated measurements model with applications in psychology.

Authors:  A C Kimber; M J Crowder
Journal:  Br J Math Stat Psychol       Date:  1990-11       Impact factor: 3.380

2.  Assessing gamma frailty models for clustered failure time data.

Authors:  J H Shih; T A Louis
Journal:  Lifetime Data Anal       Date:  1995       Impact factor: 1.588

3.  Frailty models of manufacturing effects.

Authors:  J T Wassell; G W Kulczycki; E S Moyer
Journal:  Lifetime Data Anal       Date:  1995       Impact factor: 1.588

4.  Score test of homogeneity for survival data.

Authors:  D Commenges; P K Andersen
Journal:  Lifetime Data Anal       Date:  1995       Impact factor: 1.588

5.  American Academy of Pediatrics: Committee on Nutrition. On the feeding of supplemental foods to infants.

Authors: 
Journal:  Pediatrics       Date:  1980-06       Impact factor: 7.124

6.  Type of milk feeding in infants and young children up to 19 months of age in three socio-economic groups in Madrid.

Authors:  S A van den Boom; A C Kimber; J B Morgan
Journal:  Acta Paediatr       Date:  1993-12       Impact factor: 2.299

  6 in total
  1 in total

1.  Proportional hazards models with discrete frailty.

Authors:  Chrys Caroni; Martin Crowder; Alan Kimber
Journal:  Lifetime Data Anal       Date:  2010-01-29       Impact factor: 1.588

  1 in total

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