Share

Nonparametric Methods in Change Point Problems

Download Nonparametric Methods in Change Point Problems PDF Online Free

Author :
Release : 2013-03-14
Genre : Mathematics
Kind : eBook
Book Rating : 630/5 ( reviews)

GET EBOOK


Book Synopsis Nonparametric Methods in Change Point Problems by : E. Brodsky

Download or read book Nonparametric Methods in Change Point Problems written by E. Brodsky. This book was released on 2013-03-14. Available in PDF, EPUB and Kindle. Book excerpt: The explosive development of information science and technology puts in new problems involving statistical data analysis. These problems result from higher re quirements concerning the reliability of statistical decisions, the accuracy of math ematical models and the quality of control in complex systems. A new aspect of statistical analysis has emerged, closely connected with one of the basic questions of cynergetics: how to "compress" large volumes of experimental data in order to extract the most valuable information from data observed. De tection of large "homogeneous" segments of data enables one to identify "hidden" regularities in an object's behavior, to create mathematical models for each seg ment of homogeneity, to choose an appropriate control, etc. Statistical methods dealing with the detection of changes in the characteristics of random processes can be of great use in all these problems. These methods have accompanied the rapid growth in data beginning from the middle of our century. According to a tradition of more than thirty years, we call this sphere of statistical analysis the "theory of change-point detection. " During the last fifteen years, we have witnessed many exciting developments in the theory of change-point detection. New promising directions of research have emerged, and traditional trends have flourished anew. Despite this, most of the results are widely scattered in the literature and few monographs exist. A real need has arisen for up-to-date books which present an account of important current research trends, one of which is the theory of non parametric change--point detection.

On Some Nonparametric Methods for Changepoint Problems

Download On Some Nonparametric Methods for Changepoint Problems PDF Online Free

Author :
Release : 1988
Genre : Nonparametric statistics
Kind : eBook
Book Rating : /5 ( reviews)

GET EBOOK


Book Synopsis On Some Nonparametric Methods for Changepoint Problems by : Vera Regine Huse

Download or read book On Some Nonparametric Methods for Changepoint Problems written by Vera Regine Huse. This book was released on 1988. Available in PDF, EPUB and Kindle. Book excerpt:

Change-point Problems

Download Change-point Problems PDF Online Free

Author :
Release : 1994
Genre : Mathematics
Kind : eBook
Book Rating : 348/5 ( reviews)

GET EBOOK


Book Synopsis Change-point Problems by : Edward G. Carlstein

Download or read book Change-point Problems written by Edward G. Carlstein. This book was released on 1994. Available in PDF, EPUB and Kindle. Book excerpt:

Non-Parametric Statistical Diagnosis

Download Non-Parametric Statistical Diagnosis PDF Online Free

Author :
Release : 2013-03-14
Genre : Mathematics
Kind : eBook
Book Rating : 305/5 ( reviews)

GET EBOOK


Book Synopsis Non-Parametric Statistical Diagnosis by : E. Brodsky

Download or read book Non-Parametric Statistical Diagnosis written by E. Brodsky. This book was released on 2013-03-14. Available in PDF, EPUB and Kindle. Book excerpt: Non-Parametric Statistical Diagnosis

Asymptotics, Nonparametrics, and Time Series

Download Asymptotics, Nonparametrics, and Time Series PDF Online Free

Author :
Release : 1999-02-18
Genre : Mathematics
Kind : eBook
Book Rating : 515/5 ( reviews)

GET EBOOK


Book Synopsis Asymptotics, Nonparametrics, and Time Series by : Subir Ghosh

Download or read book Asymptotics, Nonparametrics, and Time Series written by Subir Ghosh. This book was released on 1999-02-18. Available in PDF, EPUB and Kindle. Book excerpt: "Contains over 2500 equations and exhaustively covers not only nonparametrics but also parametric, semiparametric, frequentist, Bayesian, bootstrap, adaptive, univariate, and multivariate statistical methods, as well as practical uses of Markov chain models."

You may also like...