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  • 标题:Statistical Estimation of Surface Heat Control and Exchange in Endotherms
  • 本地全文:下载
  • 作者:Barbara Henning ; Benilton de Sá Carvalho ; José Luiz Boldrini
  • 期刊名称:Open Journal of Statistics
  • 印刷版ISSN:2161-718X
  • 电子版ISSN:2161-7198
  • 出版年度:2018
  • 卷号:08
  • 期号:01
  • 页码:220-239
  • DOI:10.4236/ojs.2018.81013
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:In this paper, we combine polynomial functions, Generalized Estimating Equations, and bootstrap-based model selection to test for signatures of linear or nonlinear relationships between body surface temperature and ambient temperature in endotherms. Linearity or nonlinearity is associated with the absence or presence of cutaneous vasodilation and vasoconstriction, respectively. We obtained experimental data on body surface temperature variation from a mammalian model organism as a function of ambient temperature using infrared thermal imaging. The statistical framework of model estimation and selection successfully detected linear and nonlinear relationships between body surface temperature and ambient temperature for different body regions of the model organism. These results demonstrate that our statistical approach is instrumental to assess the complexity of thermoregulation in endotherms.
  • 关键词:Gracilinanus microtarsus;Infrared Thermography;Thermal Window;Thermoregulation in Homeothermic Endotherms;Vasomotor Adjustment
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