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150324s1987 xx |||||o 00| ||eng c |
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|a (DE-627)JST052581241
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|a (JST)2345476
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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| 100 |
1 |
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|a Cox, D. R.
|e verfasserin
|4 aut
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| 245 |
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|a Parameter Orthogonality and Approximate Conditional Inference
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|c 1987
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|a Text
|b txt
|2 rdacontent
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|a Computermedien
|b c
|2 rdamedia
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|a Online-Ressource
|b cr
|2 rdacarrier
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|a We consider inference for a scalar parameter ψ in the presence of one or more nuisance parameters. The nuisance parameters are required to be orthogonal to the parameter of interest, and the construction and interpretation of orthogonalized parameters is discussed in some detail. For purposes of inference we propose a likelihood ratio statistic constructed from the conditional distribution of the observations, given maximum likelihood estimates for the nuisance parameters. We consider to what extent this is preferable to the profile likelihood ratio statistic in which the likelihood function is maximized over the nuisance parameters. There are close connections to the modified profile likelihood of Barndorff-Nielsen (1983). The normal transformation model of Box and Cox (1964) is discussed as an illustration.
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| 650 |
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4 |
|a Asymptotic Theory
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| 650 |
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4 |
|a Conditional Inference
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| 650 |
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|a Likelihood Ratio Test
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| 650 |
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|a Normal Transformation Model
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| 650 |
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4 |
|a Nuisance Parameters
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| 650 |
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4 |
|a Orthogonal Parameters
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| 650 |
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4 |
|a Mathematics
|x Pure mathematics
|x Linear algebra
|x Orthogonality
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| 650 |
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4 |
|a Behavioral sciences
|x Psychology
|x Cognitive psychology
|x Cognitive processes
|x Thought processes
|x Reasoning
|x Inference
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| 650 |
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4 |
|a Mathematics
|x Applied mathematics
|x Analytics
|x Analytical estimating
|x Maximum likelihood estimation
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| 650 |
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4 |
|a Mathematics
|x Applied mathematics
|x Statistics
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| 650 |
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4 |
|a Mathematics
|x Mathematical procedures
|x Approximation
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| 650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Descriptive statistics
|x Measures of variability
|x Statistical variance
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| 650 |
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4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Statistical models
|x Parametric models
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| 650 |
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4 |
|a Mathematics
|x Mathematical values
|x Mathematical variables
|x Mathematical independent variables
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| 650 |
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4 |
|a Mathematics
|x Pure mathematics
|x Probability theory
|x Random variables
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| 650 |
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4 |
|a Information science
|x Information analysis
|x Data analysis
|x Regression analysis
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| 655 |
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|a research-article
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| 700 |
1 |
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|a Reid, N.
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t Journal of the Royal Statistical Society. Series B (Methodological)
|d Royal Statistical Society, 1948
|g 49(1987), 1, Seite 1-39
|w (DE-627)30219746X
|w (DE-600)1490719-7
|x 00359246
|7 nnns
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| 773 |
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|g volume:49
|g year:1987
|g number:1
|g pages:1-39
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|u https://www.jstor.org/stable/2345476
|3 Volltext
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|d 49
|j 1987
|e 1
|h 1-39
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