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Mathematical statistics --- Nonparametric statistics --- Distribution-free statistics --- Statistics, Distribution-free --- Statistics, Nonparametric

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"Actuarial & accounting mathematics, mathematical economics, medical statistics & computing, probability, quantitative methods, statistical theory & methods, statistics for the biological sciences, stochastic models & processes."

Nonparametric statistics --- Distribution-free statistics --- Statistics, Distribution-free --- Statistics, Nonparametric --- Mathematical statistics

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Mathematical statistics --- Nonparametric statistics. --- wiskundige statistiek --- Nonparametric statistics --- Distribution-free statistics --- Statistics, Distribution-free --- Statistics, Nonparametric --- Acqui 2006

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The majority of empirical research in economics ignores the potential benefits of nonparametric methods, while the majority of advances in nonparametric theory ignore the problems faced in applied econometrics. This book helps bridge this gap between applied economists and theoretical nonparametric econometricians. It discusses in depth, and in terms that someone with only one year of graduate econometrics can understand, basic to advanced nonparametric methods. The analysis starts with density estimation and motivates the procedures through methods that should be familiar to the reader. It then moves on to kernel regression, estimation with discrete data, and advanced methods such as estimation with panel data and instrumental variables models. The book pays close attention to the issues that arise with programming, computing speed, and application. In each chapter, the methods discussed are applied to actual data, paying attention to presentation of results and potential pitfalls.

Econometrics. --- Nonparametric statistics. --- Distribution-free statistics --- Statistics, Distribution-free --- Statistics, Nonparametric --- Mathematical statistics --- Economics, Mathematical --- Statistics --- Econometrics --- Nonparametric statistics

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This volume covers the updated nonparametric regression methods for longitudinal data analysis given that the methods are now more flexible and robust than in the immediate past. The book also introduces the mixed-effects idea in nonparametric regressions so that the methods that are described will be more powerful and efficient when compared to those in other existing books.

Mathematical statistics --- Longitudinal method --- Nonparametric statistics. --- Mathematical models. --- Nonparametric statistics --- Longitudinal research --- Longitudinal studies --- Distribution-free statistics --- Statistics, Distribution-free --- Statistics, Nonparametric --- Mathematical models --- Methodology --- Research --- Social sciences