A Distribution Free Theory Of Nonparametric Regression

Author by : László Györfi
Languange : en
Publisher by : Springer Science & Business Media
Format Available : PDF, ePub, Mobi
Total Read : 26
Total Download : 799
File Size : 55,9 Mb
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Description : This book provides a systematic in-depth analysis of nonparametric regression with random design. It covers almost all known estimates. The emphasis is on distribution-free properties of the estimates.


Nonparametric Curve Estimation

Author by : Sam Efromovich
Languange : en
Publisher by : Springer Science & Business Media
Format Available : PDF, ePub, Mobi
Total Read : 18
Total Download : 494
File Size : 51,9 Mb
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Description : Numerous exercises of various levels of difficulty, given at the end of each chapter, will be very useful for the instructor and for self-study."--BOOK JACKET.


Artificial Intelligence And Soft Computing

Author by : Leszek Rutkowski
Languange : en
Publisher by : Springer
Format Available : PDF, ePub, Mobi
Total Read : 75
Total Download : 778
File Size : 43,9 Mb
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Description : The two-volume set LNAI 10841 and LNAI 10842 constitutes the refereed proceedings of the 17th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2018, held in Zakopane, Poland in June 2018. The 140 revised full papers presented were carefully reviewed and selected from 242 submissions. The papers included in the first volume are organized in the following three parts: neural networks and their applications; evolutionary algorithms and their applications; and pattern classification.


Learning Theory

Author by : Hans Ulrich Simon
Languange : en
Publisher by : Springer
Format Available : PDF, ePub, Mobi
Total Read : 35
Total Download : 974
File Size : 43,5 Mb
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Description : This book constitutes the refereed proceedings of the 19th Annual Conference on Learning Theory, COLT 2006, held in Pittsburgh, Pennsylvania, USA, June 2006. The book presents 43 revised full papers together with 2 articles on open problems and 3 invited lectures. The papers cover a wide range of topics including clustering, un- and semi-supervised learning, statistical learning theory, regularized learning and kernel methods, query learning and teaching, inductive inference, and more.


Estimation Of Quantiles In A Simulation Model Based On Artificial Neural Networks

Author by : Sevda Alaca
Languange : en
Publisher by : GRIN Verlag
Format Available : PDF, ePub, Mobi
Total Read : 20
Total Download : 755
File Size : 51,6 Mb
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Description : Master's Thesis from the year 2017 in the subject Mathematics - Stochastics, grade: 1,3, Technical University of Darmstadt, language: English, abstract: This thesis deals with the development of an "alpha"-quantile estimate based on a surrogate model with the use of artificial neural networks. Using artificial neural networks as an estimate is considered a nonparametric approach. The estimation of a specific quantile of a data population is a widely used statistical task and a comprehensive way to discover the true relationship among variables. It can be classified as nonparametric regression, where it is one of the standard tasks. The most common selected levels for estimation are the first, second and third quartile (25, 50 and 75 percent). The quantile level is given by "alpha". A 25 percent quantile for example has 25 percent of the data distribution below the named quantile and 75 percent of the data distribution above it. Sometimes the tail regions of a population characteristic are of interest rather than the core of the distribution. Quantile estimation is applied in many different contexts - financial economics, survival analysis and environmental modelling are only a few of them.


Fitting Linear Relationships

Author by : R.W. Farebrother
Languange : en
Publisher by : Springer Science & Business Media
Format Available : PDF, ePub, Mobi
Total Read : 15
Total Download : 511
File Size : 43,6 Mb
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Description : This book describes the development of statistics, which for more than a century was called "the calculus of observations." The approach will help readers gain a clearer understanding of the historical development as well as the essential nature of some of the commonly used statistical estimation procedures. Detailed descriptions of the fitting of linear relationships by the method of least squares and the closely related least absolute deviations and minimax absolute deviations procedures are presented, along with some of the important work by Laplace, Gauss, and Adrain.


Introduction To The Theory Of Nonparametric Statistics

Author by : Ronald H. Randles
Languange : en
Publisher by : John Wiley & Sons
Format Available : PDF, ePub, Mobi
Total Read : 32
Total Download : 889
File Size : 45,8 Mb
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Description : An intermediate text that provides a basic understanding of concepts and theory, presenting important mathematical statistics tools fundamental to the development of nonparametric statistics. Uses an intuitive approach emphasizing techniques for making a test distribution-free (such as counting and ranking). U-statistics, asymptotic efficiency, the Hodges-Lehmann technique for creating a confidence interval and a point estimator from a test, linear rank statistics, and more. Also includes currently developing areas. Readers are required to be familiar with the basic concepts of statistical inference and have a good knowledge of advanced calculus.


Amstat News

Author by :
Languange : en
Publisher by :
Format Available : PDF, ePub, Mobi
Total Read : 95
Total Download : 978
File Size : 40,8 Mb
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Description :


The Annals Of Statistics

Author by :
Languange : en
Publisher by :
Format Available : PDF, ePub, Mobi
Total Read : 9
Total Download : 550
File Size : 47,5 Mb
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Description :


Learning Theory

Author by :
Languange : en
Publisher by :
Format Available : PDF, ePub, Mobi
Total Read : 81
Total Download : 177
File Size : 50,6 Mb
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Description :