✦ LIBER ✦

Least-squares Polynomial Estimation from

✍ Scribed by R. Caballero-Águila; A. Hermoso-Carazo; J. Linares-Pérez

Publisher: Springer US
Year: 2009
Tongue: English
Weight: 416 KB
Volume: 12
Category: Article
ISSN: 1387-5841
DOI: 10.1007/s11009-008-9117-z

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Least-squares estimation of reflectivity

Least-squares estimation of reflectivity polynomials

✍ Bjørn Ursin; Terje Dahl 📂 Article 📅 1992 🏛 Elsevier Science 🌐 English ⚖ 62 KB

Error estimates for least squares approx

Error estimates for least squares approximation by polynomials

✍ Helmut Brass 📂 Article 📅 1984 🏛 Elsevier Science 🌐 English ⚖ 156 KB

Stability and least-squares estimation

✍ A.J Berkhout 📂 Article 📅 1975 🏛 Elsevier Science 🌐 English ⚖ 161 KB

It is shown that the algorithms for the stability test of linear discrete systems and the algorithm for leastsquares estimation are closely related.

Least-squares variance component estimat

Least-squares variance component estimation

✍ P. J. G. Teunissen; A. R. Amiri-Simkooei 📂 Article 📅 2007 🏛 Springer-Verlag 🌐 English ⚖ 360 KB

Polynomial least square interval approxi

Polynomial least square interval approximation

✍ J. Rokne 📂 Article 📅 1978 🏛 Springer Vienna 🌐 English ⚖ 514 KB

Generalized least-squares parameter esti

Generalized least-squares parameter estimation from multiequation implicit models

✍ Simon L. Marshall 📂 Article 📅 2003 🏛 American Institute of Chemical Engineers 🌐 English ⚖ 242 KB 👁 2 views

## Abstract Maximum likelihood fit of nonlinear, implicit, multiple‐response models to data containing normally distributed random errors can be carried out by a combination of the Gauss‐Newton generalized nonlinear least‐square algorithm first described by Britt and Luecke in 1973, with a Fletcher