Doubt-Free Uncertainty In Measurement: An Introduction for Engineers and Students - Image 1

£61.10

Springer Doubt-Free Uncertainty In Measurement: An Introduction for Engineers and Students

Name: Doubt-Free Uncertainty In Measurement: An Introduction for Engineers and Students
Brand: Springer
Price: 61.1 GBP
Availability: InStock

Management

This is the most expensive it has ever been. Walk away.

£61 today · previous high £61 · all-time low £61

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 595 days • 595 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 595 days • 1 price levels

Days at Price

Price Analysis

Most common price: £61 (595 days, 100.0%)

Price range: £61 - £61

Price levels: 1 different prices over 595 days

Description

This volume presents measurement uncertainty and uncertainty budgets in a form accessible to practicing engineers and engineering students from across a wide range of disciplines. The book gives a detailed explanation of the methods presented by NIST in the “GUM” – Guide to Uncertainty of Measurement. Emphasis is placed on explaining the background and meaning of the topics, while keeping the level of mathematics at the minimum level necessary. Dr. Colin Ratcliffe, USNA, and Bridget Ratcliffe, Johns Hopkins, develop uncertainty budgets and explain their use. In some examples, the budget may show a process is already adequate and where costs can be saved. In other examples, the budget may show the process is inadequate and needs improvement. The book demonstrates how uncertainty budgets help identify the most cost effective place to make changes. In addition, an extensive fully-worked case study leads readers through all issues related to an uncertainty analysis, including a variety of different types of uncertainty budgets. The book is ideal for professional engineers and students concerned with a broad range of measurement assurance challenges in applied sciences. This book also: Facilitates practicing engineers’ understanding of uncertainty budgets, essential to calculating cost-effective savings to a wide variety of processes contingent on measurement Presents uncertainty budgets in an accessible style suitable for all undergraduate STEM courses that include a laboratory component Provides a highly adaptable supplement to graduate textbooks for courses where students’ work includes reporting on experimental results Includes an expanded case study developing uncertainty from transducers though measurands and propagated to the final measurement that can be used as a template for the analysis of many processes Stands as a useful pocket reference for all engineers and experimental scientists

Product Specifications

Brand: Springer
Format: Paperback
ASIN: 3319364472
Category: Books > Subjects > Business, Finance & Law > Management
Domain: Amazon UK
Release Date: 22 September 2016
Listed Since: 08 July 2016

Barcode

No barcode data available

Springer Doubt-Free Uncertainty In Measurement: An Introduction for Engineers and Students

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

The Uncertainty in Physical Measurements: An Introduction to Data Analysis in the Physics Laboratory

Measuring Uncertainty within the Theory of Evidence (Springer Series in Measurement Science and Technology)

Uncertainty, Calibration and Probability: The Statistics of Scientific and Industrial Measurement (Series in Measurement Science and Technology)

Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach: 11 (International Series in Intelligent Technologies, 11)

Measurement Uncertainties in Science and Technology

Combining Interval, Probabilistic, and Other Types of Uncertainty in Engineering Applications: 773 (Studies in Computational Intelligence, 773)

Propagation of Interval and Probabilistic Uncertainty in Cyberinfrastructure-related Data Processing and Data Fusion: 15 (Studies in Systems, Decision and Control, 15)

Measurement Uncertainty: Methods and Applications (International Society of Automation)

Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems (Advances in Computational Intelligence and Robotics)

Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy etc. Methods and Their Applications: 835 (Studies in Computational Intelligence, 835)

Springer - Measurement Uncertainties and Calibration Book

Measurement Errors and Uncertainties: Theory and Practice

The Geometry of Uncertainty: The Geometry of Imprecise Probabilities (Artificial Intelligence: Foundations, Theory, and Algorithms)

Uncertainty Quantification: Theory, Implementation, and Applications (Computational Science & Engineering)

Dealing with Uncertainties: A Guide to Error Analysis

Measurement Uncertainties: Error Propagation, Probabilistic Modelling, Statistical Methods (De Gruyter Textbook)

Uncertainty Theory: A Branch of Mathematics for Modeling Human Uncertainty: 300 (Studies in Computational Intelligence, 300)

Data Modeling for Metrology and Testing in Measurement Science (Modeling and Simulation in Science, Engineering and Technology)

Understanding Uncertainty (Wiley Series in Probability and Statistics)

Uncertainty in Strategic Decision Making: Analysis, Categorization, Causation and Resolution

Measurement Uncertainty in Chemical Analysis

Uncertainty in Information Systems: An Introduction to Techniques and Applications (Advanced Topics in Computer Science)

The Mathematics of the Uncertain: A Tribute to Pedro Gil: 142 (Studies in Systems, Decision and Control, 142)

Measurement and Probability: A Probabilistic Theory of Measurement with Applications (Springer Series in Measurement Science and Technology)