Least squares fitting Gaussian type curve
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摘要
Given the data (pi, ti, yi), i = 1, …, m, m ⩾ 3, we give necessary and sufficient conditions which guarantee the existence of the weighted least squares estimate for a Gaussian type function. To this end, we suggest a choice of the suitable initial approximation for an iterative minimization, and give some numerical examples.
论文关键词：Gaussian function,Nonlinear least squares,Least squares estimate,Existence problem
论文评审过程：Available online 17 November 2004.
论文官网地址：https://doi.org/10.1016/j.amc.2004.06.084
