1988/12/01 by Jan Engel · 1 citation
Chemistry · Mathematics · #Spectroscopy and Chemometric Analyses #Advanced Statistical Methods and Models #Statistical Methods and Applications
paper · doi:10.1111/j.1467-9574.1988.tb01238.x
openalex publication_date 1988/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/05/21
In this paper a review will be given of some methods available for modelling relationships between categorical response variables and explanatory variables. These methods are all classed under the name polytomous logistic regression (PLR). Models for PLR will be presented and compared; model parameters will be tested and estimated by weighted least squares and by likelihood. Usually, software is needed for computation, and available statistical software is reported. An industrial problem is solved to some extent as an example to illustrate the use of PLR. The paper is concluded by a discussion on the various PLR‐methods and some topics that need a further study are mentioned.