JMSS Cover
Frequency: Continuous
ISSN: 1549-3644 (Print)
ISSN: 1558-6359 (Online)
Research Article Open Access

The Estimation of Logistic Probability Model of Binomial Data: Simulation Comparison

Zaki. J. Al- Sarraf, Faris M. Al- Athari and Hilmi F. Kittani

Abstract

Properties of various types of estimators of the regression coefficients in linear logistic regression models were considered. The estimators include those based on maximum likelihood, minimum chi-square and weighted least squares. The results of a large scale simulation investigation evaluating the moment properties of the estimators are presented for the case of logistic model with a single explanatory variable.

Journal of Mathematics and Statistics
Volume 4 No. 2, 2008, 108-111

DOI: https://doi.org/10.3844/jmssp.2008.108.111

Submitted On: 4 August 2008 Published On: 30 June 2008

How to Cite: Al- Sarraf, Z. J., Al- Athari, F. M. & Kittani, H. F. (2008). The Estimation of Logistic Probability Model of Binomial Data: Simulation Comparison . Journal of Mathematics and Statistics, 4(2), 108-111. https://doi.org/10.3844/jmssp.2008.108.111

Open AccessCopyright: © 2008 Zaki. J. Al- Sarraf, Faris M. Al- Athari and Hilmi F. Kittani. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

  • 3,430 Views
  • 1,924 Downloads
  • 0 Citations

Download

Keywords

  • Maximum likelihood
  • newton- raphson approach
  • weighted least squares