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240126s1980 xx |||||o 00| ||eng c |
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|a 10.2307/2982063
|2 doi
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|a (DE-627)JST052639061
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|a (JST)2982063
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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| 245 |
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|a Sampling and Bayes' Inference in Scientific Modelling and Robustness
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|c 1980
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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
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|a Scientific learning is an iterative process employing Criticism and Estimation. Correspondingly the formulated model factors into two complementary parts--a predictive part allowing model criticism, and a Bayes posterior part allowing estimation. Implications for significance tests, the theory of precise measurement and for ridge estimates are considered. Predictive checking functions for transformation, serial correlation, bad values, and their relation with Bayesian options are considered. Robustness is seen from a Bayesian viewpoint and examples are given. For the bad value problem a comparison with M estimators is made.
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|a Copyright Royal Statistical Society
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| 650 |
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|a Iterative Learning
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| 650 |
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|a Model Building
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| 650 |
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|a Inference
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| 650 |
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|a Bayes Theorem
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| 650 |
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|a Sampling Theory
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| 650 |
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|a Predictive Distribution
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| 650 |
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|a Diagnostic Check
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| 650 |
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4 |
|a Transformations
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| 650 |
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4 |
|a Serial Correlation
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| 650 |
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4 |
|a Bad Values
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| 650 |
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4 |
|a Outliers
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| 650 |
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|a Robust Estimation
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| 650 |
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4 |
|a Applied sciences
|x Research methods
|x Modeling
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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 Applied sciences
|x Research methods
|x Modeling
|x Predictive modeling
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| 650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
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| 650 |
|
4 |
|a Mathematics
|x Pure mathematics
|x Probability theory
|x Probabilities
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| 650 |
|
4 |
|a Behavioral sciences
|x Psychology
|x Cognitive psychology
|x Cognitive processes
|x Thought processes
|x Reasoning
|x Inference
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| 650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Descriptive statistics
|x Statistical distributions
|x Normal distribution curve
|x Standard deviation
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| 650 |
|
4 |
|a Mathematics
|x Mathematical analysis
|x Mathematical robustness
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| 650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Descriptive statistics
|x Statistical distributions
|x Normal distribution curve
|x Sampling distributions
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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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| 655 |
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4 |
|a research-article
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| 773 |
0 |
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|i Enthalten in
|t Journal of the Royal Statistical Society. Series A (General)
|d Royal Statistical Society, 1948
|g 143(1980), 4, Seite 383-430
|w (DE-627)1853780618
|w (DE-600)3163510-6
|x 00359238
|7 nnns
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| 773 |
1 |
8 |
|g volume:143
|g year:1980
|g number:4
|g pages:383-430
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| 856 |
4 |
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|u https://www.jstor.org/stable/2982063
|3 Volltext
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| 856 |
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|u https://doi.org/10.2307/2982063
|3 Volltext
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|a AR
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|d 143
|j 1980
|e 4
|h 383-430
|