✦ LIBER ✦

Optimal testing for additivity in multiple nonparametric regression

✍ Scribed by Felix Abramovich; Italia De Feis; Theofanis Sapatinas

Publisher: Springer Japan
Year: 2008
Tongue: English
Weight: 486 KB
Volume: 61
Category: Article
ISSN: 0020-3157
DOI: 10.1007/s10463-007-0164-y

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Optimal designs for nonparametric kernel

Optimal designs for nonparametric kernel regression

✍ Hans-Georg Müller 📂 Article 📅 1984 🏛 Elsevier Science 🌐 English ⚖ 333 KB

Two tests for heteroscedasticity in nonp

Two tests for heteroscedasticity in nonparametric regression

✍ Mario Francisco-Fernández; Juan M. Vilar-Fernández 📂 Article 📅 2008 🏛 Springer 🌐 English ⚖ 283 KB

Nonparametric Tests for Slope in Linear

Nonparametric Tests for Slope in Linear Regression Problems

✍ Dr. A. P. Gore; Mr. K. S. Madhava Rao 📂 Article 📅 1982 🏛 John Wiley and Sons 🌐 English ⚖ 459 KB 👁 2 views

Optimal designs for testing the function

Optimal designs for testing the functional form of a regression via nonparametric estimation techniques

✍ Stefanie Biedermann; Holger Dette 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 126 KB

For the problem of checking linearity in a heteroscedastic nonparametric regression model under a ÿxed design assumption, we study maximin designs which maximize the minimum power of a nonparametric test over a broad class of alternatives from the assumed linear regression model. It is demonstrated

A multiplicative bias reduction method f

A multiplicative bias reduction method for nonparametric regression

✍ Oliver Linton; Jens Perch Nielsen 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 420 KB

Testing heteroscedasticity in nonlinear

Testing heteroscedasticity in nonlinear and nonparametric regressions

✍ Xu Zheng 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 French ⚖ 179 KB