| Dewey Class |
519.2 |
| Title |
On Model Uncertainty and its Statistical Implications ([EBook] :) : Proceedings of a Workshop, Held in Groningen, The Netherlands, September 25–26, 1986 / / edited by Theo K. Dijkstra. |
| Added Personal Name |
Dijkstra, Theo K. editor. |
| Other name(s) |
SpringerLink (Online service) |
| Publication |
Berlin, Heidelberg : : Springer Berlin Heidelberg, , 1988. |
| Physical Details |
VII, 138 p. : online resource. |
| Series |
Lecture notes in economics and mathematical systems 0075-8442 ; ; 307 |
| ISBN |
9783642615641 |
| Summary Note |
In this book problems related to the choice of models in such diverse fields as regression, covariance structure, time series analysis and multinomial experiments are discussed. The emphasis is on the statistical implications for model assessment when the assessment is done with the same data that generated the model. This is a problem of long standing, notorious for its difficulty. Some contributors discuss this problem in an illuminating way. Others, and this is a truly novel feature, investigate systematically whether sample re-use methods like the bootstrap can be used to assess the quality of estimators or predictors in a reliable way given the initial model uncertainty. The book should prove to be valuable for advanced practitioners and statistical methodologists alike.: |
| Contents note |
On the impact of variable selection in fitting regression equations. -- Data-driven selection of regressors and the bootstrap. -- Autocorrelation pre-testing in linear models with AR(1) errors. -- On cross-validation for predictor evaluation in time series. -- Modification of factor analysis models in covariance structure analysis. A Monte Carlo study. -- Pitfalls for forecasters. -- Model selection in multinomial experiments. |
| System details note |
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users) |
| Internet Site |
http://dx.doi.org/10.1007/978-3-642-61564-1 |
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