Measurement and Probability: A Probabilistic Theory of Measurement with Applications (Springer Series in Measurement Science and Technology) - Image 1

£75.84

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

Name: Measurement and Probability: A Probabilistic Theory of Measurement with Applications (Springer Series in Measurement Science and Technology)
Brand: Springer
Price: 73.5 GBP
Availability: InStock

Psychometrics

Price History & Forecast

Last 34 days • 34 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 34 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £74 (21 days, 61.8%)

Price range: £74 - £76

Price levels: 2 different prices over 34 days

Description

Measurement plays a fundamental role both in physical and behavioral sciences, as well as in engineering and technology: it is the link between abstract models and empirical reality and is a privileged method of gathering information from the real world. Is it possible to develop a single theory of measurement for the various domains of science and technology in which measurement is involved? This book takes the challenge by addressing the following main issues: What is the meaning of measurement? How do we measure? What can be measured? A theoretical framework that could truly be shared by scientists in different fields, ranging from physics and engineering to psychology is developed. The future in fact will require greater collaboration between science and technology and between different sciences. Measurement, which played a key role in the birth of modern science, can act as an essential interdisciplinary tool and language for this new scenario. A sound theoretical basis for addressing key problems in measurement is provided. These include perceptual measurement, the evaluation of uncertainty, the evaluation of inter-comparisons, the analysis of risks in decision-making and the characterization of dynamical measurement. Currently, increasing attention is paid to these issues due to their scientific, technical, economic and social impact. The book proposes a unified probabilistic approach to them which may allow more rational and effective solutions to be reached. Great care was taken to make the text as accessible as possible in several ways. Firstly, by giving preference to as interdisciplinary a terminology as possible; secondly, by carefully defining and discussing all key terms. This ensures that a wide readership, including people from different mathematical backgrounds and different understandings of measurement can all benefit from this work. Concerning mathematics, all the main results are preceded by intuitive discussions andillustrated by simple examples. Moreover, precise proofs are always included in order to enable the more demanding readers to make conscious and creative use of these ideas, and also to develop new ones. The book demonstrates that measurement, which is commonly understood to be a merely experimental matter, poses theoretical questions which are no less challenging than those arising in other, apparently more theoretical, disciplines.

Product Specifications

Brand: Springer
Format: Paperback
ASIN: 9402405925
Category: Books > Subjects > Health, Family & Lifestyle > Psychology & Psychiatry > Methodology > Psychometrics
Domain: Amazon UK
Release Date: 27 September 2016
Listed Since: 28 September 2016

Barcode

No barcode data available

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

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Measurement across the Sciences: Developing a Shared Concept System for Measurement (Springer Series in Measurement Science and Technology)

Measure Theory and Probability Theory (Springer Texts in Statistics)

Measure Theory and Probability Theory (Springer Texts in Statistics)

Probability: An Introduction Through Theory and Exercises (Universitext)

Measurement Errors and Uncertainties: Theory and Practice

The Methods of Distances in the Theory of Probability and Statistics

Quality Assured Measurement: Unification across Social and Physical Sciences (Springer Series in Measurement Science and Technology)

Measurements, Modelling and Simulation of Dynamic Systems

Springer - The Uncertainty in Physical Measurements Book

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

Measurement Theory and Practice: The World Through Quantification

Probabilistic Inequalities: 7 (Series on Concrete & Applicable Mathematics)

A Modern Approach to Probability Theory (Probability and Its Applications)

Introduction To Probability Theory: A First Course On The Measure-theoretic Approach: 3 (World Scientific Series On Probability Theory And Its Applications)

Measure Theory

Probabilistic Thinking: Presenting Plural Perspectives (Advances in Mathematics Education)

Fundamentals of Probability and Statistics for Engineers

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

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

A Probability Path (Modern Birkhäuser Classics)

Probability with Applications in Engineering, Science, and Technology: Revised and Updated (Springer Texts in Statistics)

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

Measure, Probability and Functional Analysis (Universitext)

Probability, Random Variables, and Data Analytics with Engineering Applications