Tell your friends about this item:
Recursive Residuals Estimation for Seiv Models: Kalman Filter Method
Hicham Beldjillali
Recursive Residuals Estimation for Seiv Models: Kalman Filter Method
Hicham Beldjillali
This book is concerned with a special method of estimation called recursive residuals that is applied for one of the forms of measurement error models, namely Structural Errors-in-Variables model. Kalman Filter technique is used to estimate the highlighted model, where Maximum Likelihood Estimation (under normality) is used to provide initial values. There are five proposed methods for initial value of latent variable which are recommended for specific conditions. Cumulative sum (CUSUM), that is a sensitive control chart tool, is involved to control the model fitting and to check the model assumption. Finally, real data applications are shown for environmental and economic domains.
Media | Books Paperback Book (Book with soft cover and glued back) |
Released | March 1, 2013 |
ISBN13 | 9783659359231 |
Publishers | LAP LAMBERT Academic Publishing |
Pages | 128 |
Dimensions | 150 × 8 × 225 mm · 199 g |
Language | English |
See all of Hicham Beldjillali ( e.g. Paperback Book )