All of Nonparametric Statistics

• Κύριος συγγραφέας: Wasserman, Larry (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York, 2006.
• Σειρά: Springer Texts in Statistics,
• Θέματα: Statistics.; Artificial intelligence.; Statistical Theory and Methods.; Artificial Intelligence (incl. Robotics).; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

The goal of this text is to provide the reader with a single book where they can find a brief account of many, modern topics in nonparametric inference. The book is aimed at Master's level or Ph.D. level students in statistics, computer science, and engineering. It is also suitable for research...

Πίνακας περιεχομένων:

• Estimating the CDF and Statistical Functionals
• The Bootstrap and the Jackknife
• Smoothing: General Concepts
• Nonparametric Regression
• Density Estimation
• Normal Means and Minimax Theory
• Nonparametric Inference Using Orthogonal Functions
• Wavelets and Other Adaptive Methods
• Other Topics.