The Fictioning Horror Sale
 
 

Recently Viewed clear list


Original Essays | September 18, 2014

Lin Enger: IMG Knowing vs. Knowing



On a hot July evening years ago, my Toyota Tercel overheated on a flat stretch of highway north of Cedar Rapids, Iowa. A steam geyser shot up from... Continue »
  1. $17.47 Sale Hardcover add to wish list

    The High Divide

    Lin Enger 9781616203757

spacer
Qualifying orders ship free.
$118.50
New Hardcover
Ships in 1 to 3 days
Add to Wishlist
available for shipping or prepaid pickup only
Available for In-store Pickup
in 7 to 12 days
Qty Store Section
25 Remote Warehouse Mathematics- Probability and Statistics

This title in other editions

Other titles in the Springer Series in Reliability Engineering series:

Measurement Uncertainty: An Approach Via the Mathematical Theory of Evidence

by

Measurement Uncertainty: An Approach Via the Mathematical Theory of Evidence Cover

 

Synopses & Reviews

Publisher Comments:

The expression of uncertainty in measurement is a challenging aspect for researchers and engineers working in instrumentation and measurement because it involves physical, mathematical and philosophical issues. This problem is intensified by the limitations of the probabilistic approach used by the current standard (GUM). This text is the first to make full use of the mathematical theory of evidence to express the uncertainty in measurements. It gives an overview of the current standard, then pinpoints and constructively resolves its limitations through its unique approach. The text presents various tools for evaluating uncertainty, beginning with the probabilistic approach and concluding with the expression of uncertainty using random-fuzzy variables. The exposition is driven by numerous examples. The book is designed for immediate use and application in research and laboratory work. Prerequisites for students include courses in statistics and measurement science. Apart from a classroom setting, this book can be used by practitioners in a variety of fields (including applied mathematics, applied probability, electrical and computer engineering, and experimental physics), and by such institutions as the IEEE, ISA, and National Institute of Standards and Technology.

Synopsis:

This book presents an alternative approach and companion to the GUM Instrumentation Standard. Coverage provides an overview of the current standard, then pinpoints and constructively resolves its limitations.

Synopsis:

The expression of uncertainty in measurement poses a challenge since it involves physical, mathematical, and philosophical issues. This problem is intensified by the limitations of the probabilistic approach used by the current standard (the GUM Instrumentation Standard). This text presents an alternative approach. It makes full use of the mathematical theory of evidence to express the uncertainty in measurements. Coverage provides an overview of the current standard, then pinpoints and constructively resolves its limitations. Numerous examples throughout help explain the book's unique approach.

Synopsis:

The expression of uncertainty in measurement is a challenging aspect for researchers and engineers working in instrumentation and measurement because it involves physical, mathematical and philosophical issues. This problem is intensified by the limitations of the probabilistic approach used by the current standard (GUM).

This text is the first to make full use of the mathematical theory of evidence to express the uncertainty in measurements. It gives an overview of the current standard, then pinpoints and constructively resolves its limitations through its unique approach. The text presents various tools for evaluating uncertainty, beginning with the probabilistic approach and concluding with the expression of uncertainty using random-fuzzy variables. The exposition is driven by numerous examples. The book is designed for immediate use and application in research and laboratory work.

Apart from a classroom setting, this book can be used by practitioners in a variety of fields (including applied mathematics, applied probability, electrical and computer engineering, and experimental  physics), and by such institutions as the IEEE, ISA, and National Institute of Standards and Technology.

Table of Contents

Preface.- 1. Uncertainty in Measurement.- 2. Fuzzy Variables and Measurement Uncertainty.- 3. The Theory of Evidence.- 4. Random-Fuzzy Variables.- 5. Construction of Random-Fuzzy Variables.- 6. Fuzzy Operators.- 7. The Mathematics of Random-Fuzzy Variables.- 8. Representation of Random-Fuzzy Variables.- 9. Decision-Making Rules with Random-Fuzzy Variables.- 10. List of Symbols.- Bibliography.- Index.

Product Details

ISBN:
9780387306551
Author:
Salicone, Simona
Publisher:
Springer
Subject:
Applied
Subject:
Weights & Measures
Subject:
Random variables
Subject:
Uncertainty (information theory)
Subject:
Probability & Statistics - General
Subject:
Mathematical Analysis
Subject:
Measure and Integration
Subject:
Electronics and Microelectronics, Instrumentation
Subject:
Measurement Science and Instrumentation
Subject:
Probability Theory and Stochastic Processes <P>The expression of uncertainty in measurement poses a challenge since it involves physical, mathematical, and philosophical issues. This problem is intensified by the limitations of the probabilistic approach
Subject:
Mathematics | Probability and Statistics
Subject:
Probability Theory and Stochastic Processes
Edition Description:
Book
Series:
Springer Series in Reliability Engineering
Publication Date:
20061231
Binding:
HARDCOVER
Language:
English
Illustrations:
Y
Pages:
298
Dimensions:
235 x 155 mm 1140 gr

Related Subjects

Health and Self-Help » Health and Medicine » Professional Medical Reference
Science and Mathematics » Mathematics » Applied
Science and Mathematics » Mathematics » General
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Probability Theory
Science and Mathematics » Mathematics » Probability and Statistics » Statistics
Science and Mathematics » Physics » General

Measurement Uncertainty: An Approach Via the Mathematical Theory of Evidence New Hardcover
0 stars - 0 reviews
$118.50 In Stock
Product details 298 pages Springer - English 9780387306551 Reviews:
"Synopsis" by , This book presents an alternative approach and companion to the GUM Instrumentation Standard. Coverage provides an overview of the current standard, then pinpoints and constructively resolves its limitations.
"Synopsis" by , The expression of uncertainty in measurement poses a challenge since it involves physical, mathematical, and philosophical issues. This problem is intensified by the limitations of the probabilistic approach used by the current standard (the GUM Instrumentation Standard). This text presents an alternative approach. It makes full use of the mathematical theory of evidence to express the uncertainty in measurements. Coverage provides an overview of the current standard, then pinpoints and constructively resolves its limitations. Numerous examples throughout help explain the book's unique approach.
"Synopsis" by , The expression of uncertainty in measurement is a challenging aspect for researchers and engineers working in instrumentation and measurement because it involves physical, mathematical and philosophical issues. This problem is intensified by the limitations of the probabilistic approach used by the current standard (GUM).

This text is the first to make full use of the mathematical theory of evidence to express the uncertainty in measurements. It gives an overview of the current standard, then pinpoints and constructively resolves its limitations through its unique approach. The text presents various tools for evaluating uncertainty, beginning with the probabilistic approach and concluding with the expression of uncertainty using random-fuzzy variables. The exposition is driven by numerous examples. The book is designed for immediate use and application in research and laboratory work.

Apart from a classroom setting, this book can be used by practitioners in a variety of fields (including applied mathematics, applied probability, electrical and computer engineering, and experimental  physics), and by such institutions as the IEEE, ISA, and National Institute of Standards and Technology.

spacer
spacer
  • back to top
Follow us on...




Powell's City of Books is an independent bookstore in Portland, Oregon, that fills a whole city block with more than a million new, used, and out of print books. Shop those shelves — plus literally millions more books, DVDs, and gifts — here at Powells.com.