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  • Gebundenes Buch

This book provides one of the first accounts of statistical analysis and inference based on approximate models Developed by the author, this approach consistently treats models as approximations to data, not to some underlying truth. The author develops a concept of approximation for probability models with applications to discrete data, location scale, ANOVA, nonparametric regression, image analysis, densities, time series, and model choice. He also offers a critique of statistics that covers likelihood, Bayesian statistics, sufficient statistics, efficiency, asymptotics, and model choice.

Produktbeschreibung
This book provides one of the first accounts of statistical analysis and inference based on approximate models Developed by the author, this approach consistently treats models as approximations to data, not to some underlying truth. The author develops a concept of approximation for probability models with applications to discrete data, location scale, ANOVA, nonparametric regression, image analysis, densities, time series, and model choice. He also offers a critique of statistics that covers likelihood, Bayesian statistics, sufficient statistics, efficiency, asymptotics, and model choice.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Autorenporträt
Patrick Laurie Davies