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Two Other Syntaxes for Richly Parameterized Models
| Content Provider | Scilit |
|---|---|
| Author | Hodges, James S. |
| Copyright Year | 2016 |
| Description | This book uses mixed linear models as a syntax for richly parameterized linear models. At least two other systems have been proposed, one based on Gaussian Markov random fields, proposed by Rue & Held (2005), and another proposed by Lee et al. (2006), which might be viewed as extending mixed linear models although the analytic approach is somewhat different. This chapter gives a brief overview of these two syntaxes and their associated analytic approaches, to contrast them with mixed linear models and to give interested readers a place to begin. Each alternative approach is treated briefly, so it may seem that I've given undue emphasis to their controversial aspects. However, this is inevitable in a brief overview and disgruntled readers might recall that I've been more critical of mixed-linear-model theory and methods than any other treatment I've ever seen. Section 7.1 gives a schematic comparison of the three competing syntaxes; this is followed by a section for each alternative syntax. Book Name: Richly Parameterized Linear Models |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2010-0-48470-1&isbn=9780429062124&doi=10.1201/b16019-16&format=pdf |
| Ending Page | 210 |
| Page Count | 10 |
| Starting Page | 201 |
| DOI | 10.1201/b16019-16 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2016-04-19 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Richly Parameterized Linear Models Language Studies Mixed Linear Models Parameterized |
| Content Type | Text |
| Resource Type | Chapter |
