Recent Advances and Trends in Nonparametric Statistics is popular PDF and ePub book, written by M.G. Akritas in 2003-10-31, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Recent Advances and Trends in Nonparametric Statistics can be Read Online from any device for your convenience.
Recent Advances and Trends in Nonparametric Statistics Book PDF Summary
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: • algorithic approaches • wavelets and nonlinear smoothers • graphical methods and data mining • biostatistics and bioinformatics • bagging and boosting • support vector machines • resampling methods
Detail Book of Recent Advances and Trends in Nonparametric Statistics PDF
- Author : M.G. Akritas
- Release : 31 October 2003
- Publisher : Elsevier
- ISBN : 9780080540375
- Genre : Mathematics
- Total Page : 522 pages
- Language : English
- PDF File Size : 10,8 Mb
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