๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Estimation in partially linear models

โœ Scribed by R.L. Eubank; E.L. Kambour; J.T. Kim; K. Klipple; C.S. Reese; M. Schimek

Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
361 KB
Volume
29
Category
Article
ISSN
0167-9473

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โœฆ Synopsis

Order n algorithms are developed for computing the estimated mean vector, regression coefficients, standard errors and smoothing parameter selection criteria for Speckman smoothing spline estimators in partially linear models. A difference type variance estimator is proposed and shown to be x/-~-consistent.

๐Ÿ“œ SIMILAR VOLUMES

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โœ Qihua Wang ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 217 KB

Consider the partial linear models of the form Y=X { ;+ g(T)+e, where the p-variate explanatory X is erroneously measured, and both T and the response Y are measured exactly. Let X be the surrogate variable for X with measurement error. Let the primary data set be that containing independent observa