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United States Department of Agriculture

Agricultural Research Service

Title: COMPARING CORRELATED PARAMETER ESTIMATES FOR NONLINEAR PET MODEL)

Author
item Wu, J
item Parkhurst, A
item Eskridge, K
item Travnicek, D
item Brown Brandl, Tami
item Eigenberg, Roger
item Hahn, G
item Nienaber, John - Jack
item Mader, T
item Spiers, D

Submitted to: Meeting Abstract
Publication Type: Proceedings
Publication Acceptance Date: 4/1/2003
Publication Date: 4/27/2003
Citation: WU, J., PARKHURST, A., ESKRIDGE, K., TRAVNICEK, D., BROWN BRANDL, T.M., EIGENBERG, R.A., HAHN, G.L., NIENABER, J.A., MADER, T., SPIERS, D. COMPARING CORRELATED PARAMETER ESTIMATES FOR NONLINEAR PET MODEL. MEETING ABSTRACT. 2003.

Interpretive Summary:

Technical Abstract: The nonlinear PET model based on Newton's law of cooling can be used to estimate body temperature in cattle, Tb, challenged by hot cyclic chamber temperatures, Ta. The PET model has four biologically meaningful parameters: kappa, the thermal constant, delta, the difference between Tb and adjusted Ta; gamma, the proportion of variance in Tb comparable to variance in Ta; Tb initial, the body temperature at time zero. The two parameters gamma and delta are highly correlated in the current version of the model. This study looks at other ways to parameterize the PET model in an effort to reduce the correlation between parameters and improve nonlinear behaviors, such as parameter-effect curvature, bias, excess variance, and skewness.

Last Modified: 05/22/2017
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