Recent Advances and Trends in Nonparametric Statistics
The advent of high-speed, affordable computers in the last two decades has given a new boost to the nonparametric way of thinking. Classical nonparametric procedures, such as function smoothing, suddenly lost their abstract flavour as they became practically implementable. In addition, many previously unthinkable possibilities became mainstream; prime examples include the bootstrap and resampling methods, wavelets and nonlinear smoothers, graphical methods, data mining, bioinformatics, as well as the more recent algorithmic approaches such as bagging and boosting. This volume is a collection of short articles - most of which having a review component - describing the state-of-the art of Nonparametric Statistics at the beginning of a new millennium. Key features: ac algorithic approaches ac wavelets and nonlinear smoothers ac graphical methods and data mining ac biostatistics and bioinformatics ac bagging and boosting ac support vector machines ac resampling methods... Vladimir Spokoiny0 aquot;Department of Mathematics, National Taiwan University Taipei 106, Taiwan b Department of Operation Research and Financial Engineering, Princeton University Princeton, NJ 08544 a#39;Weierstrass-Institute Mohrenstr.
| Title | : | Recent Advances and Trends in Nonparametric Statistics |
| Author | : | Michael G. Akritas, Dimitris N. Politis |
| Publisher | : | Elsevier - 2003 |
You must register with us as either a Registered User before you can Download this Book. You'll be greeted by a simple sign-up page.
Once you have finished the sign-up process, you will be redirected to your download Book page.
How it works:- 1. Register a free 1 month Trial Account.
- 2. Download as many books as you like (Personal use)
- 3. Cancel the membership at any time if not satisfied.
