Lybrary.com: ebooks and download videos Search All  Title  Author 
Home / Nonfiction / Mathematics / Probability & Statistics / Bayesian Analysis

Methodology in Robust and Nonparametric Statistics

$114.95
| £93.93 | €108.77 | Ca$156.61 | Au$153.90
by Jana Jureckov? & Pranab Kumar Sen & Jan Picek
What is this?DRM-PDF | by download   add to wish list
Methodology in Robust and Nonparametric Statistics by Jana Jureckov? & Pranab Kumar Sen & Jan Picek

Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from biomedical sciences to the public health disciplines, and, more recently, in genomics, bioinformatics, and financial statistics. These disciplines are presently nourished by data mining and high-level computer-based algorithms, but to work actively with robust and nonparametric procedures, practitioners need to understand their background. Explaining the underpinnings of robust methods and recent theoretical developments, Methodology in Robust and Nonparametric Statistics provides a profound mathematically rigorous explanation of the methodology of robust and nonparametric statistical procedures. Thoroughly up-to-date, this book Presents multivariate robust and nonparametric estimation with special emphasis on affine-equivariant procedures, followed by hypotheses testing and confidence sets Keeps mathematical abstractions at bay while remaining largely theoretical Provides a pool of basic mathematical tools used throughout the book in derivations of main results The methodology presented, with due emphasis on asymptotics and interrelations, will pave the way for further developments on robust statistical procedures in more complex models. Using examples to illustrate the methods, the text highlights applications in the fields of biomedical science, bioinformatics, finance, and engineering. In addition, the authors provide exercises in the text.

To view this DRM protected ebook on your desktop or laptop you will need to have Adobe Digital Editions installed. It is a free software. We also strongly recommend that you sign up for an AdobeID at the Adobe website. For more details please see FAQ 1&2. To view this ebook on an iPhone, iPad or Android mobile device you will need the Adobe Digital Editions app, or BlueFire Reader or Txtr app. These are free, too. For more details see this article.


SHARE  Share by Email  Share on Facebook  Share on Twitter  Share on Linked In  Share on Delicious
or call in the US toll free 1-888-866-9150 product ID: 731647

Ebook Details
Pages: 410
Size: 3.2 MB
Publisher: CRC Press
Date published:   2012
ISBN: 9781439840696 (DRM-PDF)

DRM Settings
Copying:not allowed
Printing:not allowed
Read Aloud:  not allowed

Territory Restrictions
This ebook will NOT be sold to customers with a billing address in:
India

This product is listed in the following categories:

Nonfiction > Mathematics > Probability & Statistics
Nonfiction > Mathematics > Probability & Statistics > Bayesian Analysis

These authors have products in the following categories:

Nonfiction > Mathematics > Probability & Statistics
Nonfiction > Mathematics > Probability & Statistics > Bayesian Analysis

If you find anything wrong with this product listing, perhaps the description is wrong, the author is incorrect, or it is listed in the wrong category, then please contact us. We will promptly address your feedback.

Submit 5 page SummaryWhat is this?

03/24/2017
© 2017 Lybrary.com