Journal article
A Simple Justification of the Iterative Fitting Procedure for Generalized Linear Models
The American statistician, Vol.48(4), pp.288-289
11/01/1994
DOI: 10.1080/00031305.1994.10476082
Abstract
The extension of classical linear models to generalized linear models has had an important unifying impact on the exposition, teaching, and practice of statistical modeling. This article gives a new and simple justification of the commonly used iteratively reweighted least squares procedure for obtaining maximum likelihood parameter estimates.
Details
- Title: Subtitle
- A Simple Justification of the Iterative Fitting Procedure for Generalized Linear Models
- Creators
- Stephen L. Hillis - University of IowaCharles S. Davis - University of Iowa
- Resource Type
- Journal article
- Publication Details
- The American statistician, Vol.48(4), pp.288-289
- Publisher
- Taylor & Francis Group
- DOI
- 10.1080/00031305.1994.10476082
- ISSN
- 0003-1305
- eISSN
- 1537-2731
- Language
- English
- Date published
- 11/01/1994
- Academic Unit
- Radiology; Biostatistics
- Record Identifier
- 9984318802002771
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