Quantile-Based Reliability Analysis - Info and Reading Options
By N. Unnikrishnan Nair, P.G. Sankaran and N. Balakrishnan

"Quantile-Based Reliability Analysis" is published by Birkhäuser in Aug 24, 2013 and it has 417 pages.
“Quantile-Based Reliability Analysis” Metadata:
- Title: ➤ Quantile-Based Reliability Analysis
- Authors: N. Unnikrishnan NairP.G. SankaranN. Balakrishnan
- Number of Pages: 417
- Publisher: Birkhäuser
- Publish Date: Aug 24, 2013
“Quantile-Based Reliability Analysis” Subjects and Themes:
- Subjects: ➤ Random walks (Mathematics) - Renewal theory - Mathematics - Reliability (engineering) - Statistics - Distribution (Probability theory) - Mathematical statistics - Economics - Statistical Theory and Methods - Probability Theory and Stochastic Processes - Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences - Statistics for Business/Economics/Mathematical Finance/Insurance - Statistics for Life Sciences, Medicine, Health Sciences - Mathematical Modeling and Industrial Mathematics
Edition Specifications:
- Format: hardcover
Edition Identifiers:
- The Open Library ID: OL28141373M - OL20790624W
- Library of Congress Control Number (LCCN): 2013943270
- ISBN-13: 9780817683603
- ISBN-10: 0817683607
- All ISBNs: 0817683607 - 9780817683603
AI-generated Review of “Quantile-Based Reliability Analysis”:
"Quantile-Based Reliability Analysis" Description:
The Open Library:
Quantile-Based Reliability Analysis presents a novel approach to reliability theory using quantile functions in contrast to the traditional approach based on distribution functions. Quantile functions and distribution functions are mathematically equivalent ways to define a probability distribution. However, quantile functions have several advantages over distribution functions. First, many data sets with non-elementary distribution functions can be modeled by quantile functions with simple forms. Second, most quantile functions approximate many of the standard models in reliability analysis quite well. Consequently, if physical conditions do not suggest a plausible model, an arbitrary quantile function will be a good first approximation. Finally, the inference procedures for quantile models need less information and are more robust to outliers. Quantile-Based Reliability Analysis’s innovative methodology is laid out in a well-organized sequence of topics, including: · Definitions and properties of reliability concepts in terms of quantile functions; · Ageing concepts and their interrelationships; · Total time on test transforms; · L-moments of residual life; · Score and tail exponent functions and relevant applications; · Modeling problems and stochastic orders connecting quantile-based reliability functions. An ideal text for advanced undergraduate and graduate courses in reliability and statistics, Quantile-Based Reliability Analysis also contains many unique topics for study and research in survival analysis, engineering, economics, and the medical sciences. In addition, its illuminating discussion of the general theory of quantile functions is germane to many contexts involving statistical analysis.
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