𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Bahadur–Kiefer representations for GM-estimators in linear Markov models with errors in variables

✍ Scribed by KamalC. Chanda

Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
105 KB
Volume
42
Category
Article
ISSN
0167-7152

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

On Parameter Estimation for Semi-linear
On Parameter Estimation for Semi-linear Errors-in-Variables Models
✍ Cui Hengjian; Li Rongcai 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 425 KB

This paper studies a semi-linear errors-in-variables model of the form Y i = x$ i ;+ g(T i )+e i , X i =x i +u i (1 i n). The estimators of parameters ;, \_ 2 and of the smooth function g are derived by using the nearest neighbor-generalized least square method. Under some weak conditions, it is sho

A new consistent estimator for linear er
A new consistent estimator for linear errors-in-variables models
✍ S. Baran 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 804 KB

new estimator for linear errors-in-variables models is considered that is baaed on the Fourier transform of a weight function. The consistency of the estimator is verified. Examples and simulation results are aleo presented.

Estimation of Partial Linear Error-in-Va
Estimation of Partial Linear Error-in-Variables Models with Validation Data
✍ Qihua Wang 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 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