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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...

This volume collects papers prepared for the workshop '~isspecification Ana- lysis" held in Groningen. The Netherlands. December 15th and 16th. 1983. The papers. which cover a wide range of problems. contain a number of interesting and fruitful ideas. A bird's-eye view of the contents of the papers is as follows: White describes in a very general setting properties of classical statistical procedures when models are misspecified. Verbeek provides a lucid analysis of the statistical complexity of the model selection process. Dijkstra indicates how to construct good estimators. taking the...