An Information-Theoretic Alternative to Maximum Likelihood Estimation Method in Ultrastructural Measurement Error Model
Abstract
Keywords
References
- Al-Nasser, A. Measuring Customer Satisfaction: An Information - Theoretic Approach (Lambert Academic Publishing AG & Co. KG., Germany, 2010).
- Al-Nasser, A. Entropy type estimator to simple linear measurement error models, Austrian Journal of Statistics 34 (3), 283–294, 2005.
- Al-Nasser, A. Estimation of multiple linear functional relationships, Journal of Modern Applied Statistical Methods 3 (1), 181–186, 2004.
- Al-Nasser, A. Customer satisfaction measurement models: Generalized maximum entropy approach, Pakistan Journal of Statistics 19 (2), 213–226, 2003.
- Caputo, M and Paris, Q. Comparative statics of the generalized maximum entropy estimator of the general linear model, European Journal of Operational Research 185 (1), 195–203, 2008.
- Carroll, R. J., Ruppert, D. and Stefanski, L. A. Measurement Error in Nonlinear Models (Chapman and Hall, London, 1995).
- Cheng, C. -L. and Van Ness, J. W. Statistical Regression with Measurement Error (Arlond, New York, 1999).
- Ciavolino, E and Al-Nasser, A. Comparing generalized maximum entropy and partial least squares methods for structural equation models, Journal of Nonparametric Statistics 21 (8), 1017–1036, 2009.
Details
Primary Language
Turkish
Subjects
-
Journal Section
-
Authors
Amjad D. Al-nasser
This is me
Publication Date
March 1, 2011
Submission Date
May 12, 2014
Acceptance Date
-
Published in Issue
Year 2011 Volume: 40 Number: 3