CART

(0) items

Measurement Uncertainty and Probability,9781107021938
This item qualifies for
FREE SHIPPING!
FREE SHIPPING OVER $59!

Your order must be $59 or more, you must select US Postal Service Shipping as your shipping preference, and the "Group my items into as few shipments as possible" option when you place your order.

Bulk sales, PO's, Marketplace Items, eBooks, Apparel, and DVDs not included.

Measurement Uncertainty and Probability

by
Edition:
1st
ISBN13:

9781107021938

ISBN10:
1107021936
Format:
Hardcover
Pub. Date:
3/31/2013
Publisher(s):
Cambridge Univ Pr

Questions About This Book?

Why should I rent this book?
Renting is easy, fast, and cheap! Renting from eCampus.com can save you hundreds of dollars compared to the cost of new or used books each semester. At the end of the semester, simply ship the book back to us with a free UPS shipping label! No need to worry about selling it back.
How do rental returns work?
Returning books is as easy as possible. As your rental due date approaches, we will email you several courtesy reminders. When you are ready to return, you can print a free UPS shipping label from our website at any time. Then, just return the book to your UPS driver or any staffed UPS location. You can even use the same box we shipped it in!
What version or edition is this?
This is the 1st edition with a publication date of 3/31/2013.
What is included with this book?
  • The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any CDs, lab manuals, study guides, etc.
  • The Rental copy of this book is not guaranteed to include any supplemental materials. You may receive a brand new copy, but typically, only the book itself.

Summary

A measurement result is incomplete without a statement of its 'uncertainty' or 'margin of error'. But what does this statement actually tell us? By examining the practical meaning of probability, this book discusses what is meant by a '95 percent interval of measurement uncertainty', and how such an interval can be calculated. The book argues that the concept of an unknown 'target value' is essential if probability is to be used as a tool for evaluating measurement uncertainty. It uses statistical concepts, such as a conditional confidence interval, to present 'extended' classical methods for evaluating measurement uncertainty. The use of the Monte Carlo principle for the simulation of experiments is described. Useful for researchers and graduate students, the book also discusses other philosophies relating to the evaluation of measurement uncertainty. It employs clear notation and language to avoid the confusion that exists in this controversial field of science.

Table of Contents

Principles
Introduction
Foundational ideas in measurement
Components of error or uncertainty
Foundational ideas in probability and statistics
The randomization of systematic errors
Beyond the standard confidence interval
Evaluation of Uncertainty
Final preparation
Evaluation using the linear approximation
Evaluation without the linear approximations
Uncertainty information fit for purpose
Related Topics
Measurement of vectors and functions
Why take part in a measurement comparison?
Other philosophies
An assessment of objective Bayesian methods
A guide to the expression of uncertainty in measurement
Measurement near a limit - an insoluble problem?
References
Index
Table of Contents provided by Publisher. All Rights Reserved.


Please wait while the item is added to your cart...