Some linear models are necessarily parametric
β Scribed by Abram Kagan; Lawrence A. Shepp
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 165 KB
- Volume
- 37
- Category
- Article
- ISSN
- 0167-7152
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π SIMILAR VOLUMES
The paper deals with simple and composite hypotheses in statistical models with i.i.d. observations and with arbitrary families dominated by \_-finite measures and parametrized by vector-valued variables. It introduces ,-divergence testing statistics as alternatives to the classical ones: the genera
The linear mixed effects model with normal errors is a popular model for the analysis of repeated measures and longitudinal data. The generalized linear model is useful for data that have non-normal errors but where the errors are uncorrelated. A descendant of these two models generates a model for