The Box-Cox Transformation and Non-Iterative Estimation Methods for Ordinal Log-Linear Models
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Publication:2802817
DOI10.1111/anzs.12007zbMath1336.62004OpenAlexW2085385060MaRDI QIDQ2802817
Publication date: 27 April 2016
Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/1959.13/1051992
Box-Cox transformationlinear-by-linear associationNewton's unidimensional methodordinal log-linear model
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Cites Work
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- The order-restricted association model: two estimation algorithms and issues in testing
- A Single General Method for the Analysis of Cross-Classified Data: Reconciliation and Synthesis of Some Methods of Pearson, Yule, and Fisher, and Also Some Methods of Correspondence Analysis and Association Analysis
- Log-Linear Models for Frequency Tables with Ordered Classifications
- Simple Correspondence Analysis: A Bibliographic Review
- AN EVALUATION OF NON‐ITERATIVE METHODS FOR ESTIMATING THE LINEAR‐BY‐LINEAR PARAMETER OF ORDINAL LOG‐LINEAR MODELS
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