Nonparametric curve estimation: methods, theory and applications

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Edition: 1

Series: Springer Series in Statistics

ISBN: 0387987401, 9780387987408, 9780387226385

Size: 3 MB (3438393 bytes)

Pages: 423/423

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Sam Efromovich0387987401, 9780387987408, 9780387226385

Appropriate for a one-semester course, this self-contained book is an introduction to nonparametric curve estimation theory. It may be used for teaching graduate students in statistics (in this case an intermediate statistical inference, on the level of the book by G. Casella and R. Berger (1990) “Statistical Inference”, Brooks/Cole, is the prerequisite) as well as for diverse classes with students from other sciences including engineering, business, social, medical, and biology.

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