𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Probability, Reliability, and Statistical Methods in Engineering Design

✍ Scribed by Achintya Haldar, Sankaran Mahadevan


Publisher
Wiley
Year
1999
Tongue
English
Leaves
321
Edition
1
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


Text for a one-term course on Probability and Statistics intended primarily for civil engineering majors. Most often taught out of the Civil Engineering Department. Covers the key concepts and statistical techniques for assessing the reliability of structures and the risk factors in their design.

The Wiley Advantage
Provides the basic probability and statistical techniques for engineering students to learn how to conduct reliability assessments
Integrates the risk-based and deterministic design concepts, enabling students to understand the transition from traditional to modern design practices.
Reviewers have commented. . .
"Well written, clearly presented and easy to use for an undergraduate course in engineering."
"Although the contents of Chapters 1 through 9 are well known, they are presented so simply and clearly that they are relevant and easy to used for an undergraduate course in engineering."
"Both the theory and application have been treated very well and with great detail…"
"Finally, we have an alternative to the dated 'Ang/Tang'."

✦ Table of Contents


Basic Concept of Reliability.
Mathematics of Probability.
Modeling of Uncertainty.
Commonly Used Probability Distributions.
Determination of Distributions and Parameters from Observed Data.
Randomness in Response Variables.
Fundamentals of Reliability Analysis.
Advanced Topics on Reliability Analysis.
Simulation Techniques.

Appendices.

Conversion Factors.

References.

Index.


πŸ“œ SIMILAR VOLUMES


Probability, Reliability, and Statistica
✍ Achintya Haldar, Sankaran Mahadevan πŸ“‚ Library πŸ“… 1999 πŸ› Wiley 🌐 English

Text for a one-term course on Probability and Statistics intended primarily for civil engineering majors. Most often taught out of the Civil Engineering Department. Covers the key concepts and statistical techniques for assessing the reliability of structures and the risk factors in their design.

System Reliability Theory: Models and St
✍ Arnljot Hoyland, Marvin Rausand πŸ“‚ Library πŸ“… 1994 πŸ› Wiley-Interscience 🌐 English

This is the most complete reliability book that I have seen. It is appropriate as both a textbook and a reference. It is well-written and easy to understand. I highly recommend this book for anybody interested in learning reliability theory.

Statistical Methods for Reliability Data
✍ William Q. Meeker, Luis A. Escobar πŸ“‚ Library πŸ“… 1998 πŸ› Wiley-Interscience 🌐 English

Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Statistical Methods for Reliability Data was among those chosen.Bringing statistical methods for reliability testing in line with the computer age This volume presents state-of-the-art, computer

Modern Statistical And Mathematical Meth
✍ Sallie Keller-McNulty πŸ“‚ Library πŸ“… 2005 πŸ› World Scientific Publishing Company 🌐 English

This volume contains extended versions of 28 carefully selected and reviewed papers presented at The Fourth International Conference on Mathematical Methods in Reliability in Santa Fe, New Mexico, June 21–25, 2004, the leading conference in reliability research. The meeting serves as a forum for dis

Statistical Reliability Engineering: Met
✍ Hoang Pham πŸ“‚ Library πŸ“… 2021 πŸ› Springer 🌐 English

<p><span>This book presents the state-of-the-art methodology and detailed analytical models and methods used to assess the reliability of complex systems and related applications in statistical reliability engineering. It is a textbook based mainly on the author’s recent research and publications as

Statistical Reliability Engineering: Met
✍ Hoang Pham πŸ“‚ Library πŸ“… 2021 πŸ› Springer 🌐 English

<p><span>This book presents the state-of-the-art methodology and detailed analytical models and methods used to assess the reliability of complex systems and related applications in statistical reliability engineering. It is a textbook based mainly on the author’s recent research and publications as