ebooks and download videos Search All  Title  Author 
Home / Nonfiction / Mathematics / Probability & Statistics

Robust Estimates of Location: Survey and Advances

| £51.62 | €58.05 | Ca$83.74 | Au$82.65
by David F. Andrews & Frank R. Hampel
What is this?DRM-PDF | by download   add to wish list
Robust Estimates of Location: Survey and Advances by David F. Andrews & Frank R. Hampel

Because estimation involves inferring information about an unknown quantity on the basis of available data, the selection of an estimator is influenced by its ability to perform well under the conditions that are assumed to underlie the data. Since these conditions are never known exactly, the estimators chosen must be robust; i.e., they must be able to perform well under a variety of underlying conditions. The theory of robust estimation is based on specified properties of specified estimators under specified conditions. This book was written as the result of a study undertaken to establish the interaction of these three components over as large a range as possible.

Originally published in 1972.

The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These paperback editions preserve the original texts of these important books while presenting them in durable paperback editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

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: 777834

Ebook Details
Pages: 384
Size: 9.9 MB
Publisher: Princeton University Press
Date published:   2015
ISBN: 9781400867011 (DRM-PDF)

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

This product is listed in the following category:

Nonfiction > Mathematics > Probability & Statistics

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?

© 2016