A link function approach to model heterogeneity of residual variances over time in lactation curve analyses

A - Papers appearing in refereed journals

Jaffrezic, F., White, I. M. S., Thompson, R. and Hill, W. G. 2000. A link function approach to model heterogeneity of residual variances over time in lactation curve analyses. Journal of Dairy Science. 83 (5), pp. 1089-1093.

AuthorsJaffrezic, F., White, I. M. S., Thompson, R. and Hill, W. G.
Abstract

Several studies with test-day models for the lactation curve show heterogeneity of residual variance over time. The most common approach is to divide the lactation length into subclasses, assuming homogeneity within these classes and heterogeneity between them. The main drawbacks of this approach are that it can lead to many parameters being estimated and that classes have to be arbitrarily defined, whereas the residual variance changes continuously over time. A methodology that overcomes these drawbacks is proposed here. A structural model on the residual variance is assumed in which the covariates are parametric functions of time. In this model, only a few parameters need to be estimated, and the residual variance is then a continuous function of time. The analysis of a sample data set illustrates this methodology.

Keywordslactation curves; random regression model; heterogeneity of variances
Year of Publication2000
JournalJournal of Dairy Science
Journal citation83 (5), pp. 1089-1093
Digital Object Identifier (DOI)doi:10.3168/jds.S0022-0302(00)74973-3
Open accessPublished as bronze (free) open access
FunderINRA
Funder project or code311
445
Project: 144035
Publisher's version
Output statusPublished
Publication dates
Print01 May 2000
Publication process dates
Accepted14 Jan 2000
Copyright licensePublisher copyright
ISSN0022-0302
PublisherElsevier Science Inc

Permalink - https://repository.rothamsted.ac.uk/item/88418/a-link-function-approach-to-model-heterogeneity-of-residual-variances-over-time-in-lactation-curve-analyses

39 total views
24 total downloads
0 views this month
0 downloads this month
Download files as zip