Efficient exponential regression with exact fiducial limits to fit cardiac pressure data

被引:5
作者
Langer, SFJ
机构
[1] Institute of Physiology, Free University Berlin, D-14195 Berlin
关键词
regression analysis; non-linear regression; curve-fitting; algorithms; computer program; myocardial contraction;
D O I
10.1016/S0169-2607(97)01802-6
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Many observations in the biological field can adequately be fitted to an exponential regression equation, commonly in the form y = alpha + beta e(gamma x). However, the exact confidential limits of the parameters remain a problem. An algorithm to solve this problem is proposed here and tested with experimental data obtained from ventricular pressure measurements in isolated working small animal hearts. A subroutine based on this algorithm is written in Borland's Turbo-Pascal but easily portable to other languages. (C) 1997 Elsevier Science Ireland Ltd.
引用
收藏
页码:57 / 64
页数:8
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