Quantile-Based Reliability Analysis (Hardcover, 2013 ed.)

, ,
This book provides a fresh approach to reliability theory, an area that has gained increasing relevance in fields from statistics and engineering to demography and insurance. Its innovative use of quantile functions gives an analysis of lifetime data that is generally simpler, more robust, and more accurate than the traditional methods, and opens the door for further research in a wide variety of fields involving statistical analysis. In addition, the book can be used to good effect in the classroom as a text for advanced undergraduate and graduate courses in Reliability and Statistics.

R2,193
List Price R2,794
Save R601 22%

Or split into 4x interest-free payments of 25% on orders over R50
Learn more

Discovery Miles21930
Mobicred@R206pm x 12* Mobicred Info
Free Delivery
Delivery AdviceShips in 12 - 17 working days


Toggle WishListAdd to wish list
Review this Item

Product Description

This book provides a fresh approach to reliability theory, an area that has gained increasing relevance in fields from statistics and engineering to demography and insurance. Its innovative use of quantile functions gives an analysis of lifetime data that is generally simpler, more robust, and more accurate than the traditional methods, and opens the door for further research in a wide variety of fields involving statistical analysis. In addition, the book can be used to good effect in the classroom as a text for advanced undergraduate and graduate courses in Reliability and Statistics.

Customer Reviews

No reviews or ratings yet - be the first to create one!

Product Details

General

Imprint

Birkhauser Boston

Country of origin

United States

Series

Statistics for Industry and Technology

Release date

August 2013

Availability

Expected to ship within 12 - 17 working days

First published

2013

Authors

, ,

Dimensions

235 x 155 x 27mm (L x W x T)

Format

Hardcover

Pages

397

Edition

2013 ed.

ISBN-13

978-0-8176-8360-3

Barcode

9780817683603

Categories

LSN

0-8176-8360-7



Trending On Loot