Nonparametric Curve Estimation

1. Front Matter

   Pages i-xiii

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2. Introduction

   Pages 1-16

3. Orthonormal Series and Approximation

   Pages 17-58

4. Density Estimation for Small Samples

   Pages 59-117

5. Nonparametric Regression for Small Samples

   Pages 118-180

6. Nonparametric Time Series Analysis for Small Samples

   Pages 181-229

7. Estimation of Multivariate Functions for Small Samples

   Pages 230-258

8. Filtering and Asymptotics

   Pages 259-322

9. Nonseries Methods

   Pages 323-366

10. Back Matter

    Pages 367-411

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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.

• Curve Estimation
• Nonparametric Curve Estimation
• Parametric statistics
• Time series
• calculus
• statistics

• Department of Mathematics and Statistics, University of New Mexico, Albuquerque, USA

  Sam Efromovich

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