This text looks at data-analytic approaches to regression problems arising from many scientific disciplines. The aim of these methods is to relax assumptions on the form of a regression function and to let data search for a suitable function. The available data is also described.
This text looks at data-analytic approaches to regression problems arising from many scientific disciplines. The aim of these methods is to relax assumptions on the form of a regression function and to let data search for a suitable function. The available data is also described.
Produktdetails
Produktdetails
Chapman & Hall/CRC Monographs on Statistics & Applied Probability
Preface l. Introduction 2. Overview of existing methods 3. Framework for local polynomial regression 4. Automatic determination of model complexity 5. Applications of local polynomial modelling 6. Applications in nonlinear time series 7. Local polynomial regression for multivariate data References Author index Subject index
Preface l. Introduction 2. Overview of existing methods 3. Framework for local polynomial regression 4. Automatic determination of model complexity 5. Applications of local polynomial modelling 6. Applications in nonlinear time series 7. Local polynomial regression for multivariate data References Author index Subject index
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