๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Parameter changes at unknown times in non-linear regression

โœ Scribed by Venkata K. Jandhyala; Jamal A. Al-Saleh

Publisher
John Wiley and Sons
Year
1999
Tongue
English
Weight
156 KB
Volume
10
Category
Article
ISSN
1180-4009

No coin nor oath required. For personal study only.

โœฆ Synopsis

Introducing the change-point problem for the non-linear regression model, we derive Bayes-type statistics for tests of parameter changes at unknown times in the non-linear parameters. We then establish asymptotic distribution theory, mainly, for the two-sided statistics. Throughout the paper, we emphasize the speciยฎc case of an exponential type non-linear regression model. The methodology is illustrated through data on pre-school boys' weight/height ratio.

๐Ÿ“œ SIMILAR VOLUMES

Autoregressive models for describing non
Autoregressive models for describing non-linear changes in biological parameters fitted using BUGS
โœ A. P. Mander; M. D. Hughes; S. J. Sharp; C. J. Lamm ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 183 KB ๐Ÿ‘ 1 views

Many biological processes give outcome data which show a curvilinear association with time which tends to an asymptote. We show how autoregressive models can be used to describe this association within individual subjects. We also present a Bayesian approach implemented using statistical software, B