𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Estimating Parameters of a Sine Wave by Separable Nonlinear Least Squares Fitting

✍ Scribed by Kui Fu Chen


Book ID
114631832
Publisher
IEEE
Year
2010
Tongue
English
Weight
127 KB
Volume
59
Category
Article
ISSN
0018-9456

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Analysis of circadian rhythms by fitting
✍ D.S. Hickey; J.L. Kirkland; S.B. Lucas; M. Lye πŸ“‚ Article πŸ“… 1984 πŸ› Elsevier Science 🌐 English βš– 547 KB

A method that fits a least squares sine curve to both point and averaged time series data is described. The method includes a full regression analysis and extends the current "cosinor" approach. Developments include estimation of the linear trend and fitting secondary wave forms.

Nonlinear weighted least squares estimat
✍ Darija MarkoviΔ‡; Dragan JukiΔ‡; Mirta BenΕ‘iΔ‡ πŸ“‚ Article πŸ“… 2009 πŸ› Elsevier Science 🌐 English βš– 598 KB

This paper is concerned with the parameter estimation problem for the three-parameter Weibull density which is widely employed as a model in reliability and lifetime studies. Our approach is a combination of nonparametric and parametric methods. The basic idea is to start with an initial nonparametr