Penalized likelihood estimation of a fixed-effect and a mixed-effect transfer function model
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Summary
A theorem that shows that the estimated regression parameter vector is a consistent estimate of the true regression parameter has an asymptotic normal distribution is proved and both theorems are proved while assuming mild conditions.
- Type
- dissertation
- Published
- 2006-07-01
- Cited by
- 0
- References
- 27
- Access
- Open access
- OpenAlex
- https://openalex.org/W83155822
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:115310063
Keywords
Mathematics, Frequentist inference, Statistics, Applied mathematics, Likelihood function
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- Transport of North Sea cod larvae into the Skagerrak coastal populations
- Ecological and genetic impact of Atlantic cod larval drift in the Skagerrak
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- On confidence intervals for GAMs based on penalized regression splines
- Asymptotic Statistics: U -Statistics
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