๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

On the estimation of prediction errors in linear regression models

โœ Scribed by Ping Zhang


Publisher
Springer Japan
Year
1993
Tongue
English
Weight
410 KB
Volume
45
Category
Article
ISSN
0020-3157

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Nonnegative quadratic estimation of the
โœ S. Gnot; G. Trenkler ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› Springer Netherlands ๐ŸŒ English โš– 354 KB

In this paper, the problem of nonnegative quadratic estimation of the mean squared errors of minimax estimators of/3 in the linear regression model E(y) = X/3, Var(y) = cr2I is discussed. An explicit formula for the admissible nonnegative minimum biased estimator is given. Some applications to one-w

Estimation of quantized linear errors-in
โœ Vikram Krishnamurthy ๐Ÿ“‚ Article ๐Ÿ“… 1995 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 627 KB

We present an estimation algorithm for dynamic shock-error models (DSEM) given l-bit quantized noisy measurements of the input and output. The algorithm is called the binary series estimation algorithm (BSEA). BSEA is computationally inexpensive, since it involves counting the number of occurrences

On Parameter Estimation for Semi-linear
โœ Cui Hengjian; Li Rongcai ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 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