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Nonparametric Curve Estimation

Methods, Theory, and Applications

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  • 432 pages
  • 16 hours of reading

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Focusing on nonparametric curve estimation theory, this self-contained text serves as an introduction suitable for a one-semester course. It is designed for graduate statistics students, requiring knowledge equivalent to intermediate statistical inference, and is also applicable for students from various fields such as engineering, business, social sciences, medical studies, and biology. The book aims to bridge disciplines while providing a solid foundation in statistical concepts.

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Nonparametric Curve Estimation, Sam Efromovich

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2013
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