Measurement and Statistics on Science and Technology


Book Description

This book provides an historical examination of official science and technology statistics and indicators in Western countries.




Measurement and Statistics on Science and Technology


Book Description

This book provides an historical examination of official science and technology statistics and indicators in Western countries.




Data Modeling for Metrology and Testing in Measurement Science


Book Description

This book provide a comprehensive set of modeling methods for data and uncertainty analysis, taking readers beyond mainstream methods and focusing on techniques with a broad range of real-world applications. The book will be useful as a textbook for graduate students, or as a training manual in the fields of calibration and testing. The work may also serve as a reference for metrologists, mathematicians, statisticians, software engineers, chemists, and other practitioners with a general interest in measurement science.







Uncertainty, Calibration and Probability


Book Description

All measurements are subject to error because no quantity can be known exactly; hence, any measurement has a probability of lying within a certain range. The more precise the measurement, the smaller the range of uncertainty. Uncertainty, Calibration and Probability is a comprehensive treatment of the statistics and methods of estimating these calibration uncertainties. The book features the general theory of uncertainty involving the combination (convolution) of non-Gaussian, student t, and Gaussian distributions; the use of rectangular distributions to represent systematic uncertainties; and measurable and nonmeasurable uncertainties that require estimation. The author also discusses sources of measurement errors and curve fitting with numerous examples of uncertainty case studies. Many useful tables and computational formulae are included as well. All formulations are discussed and demonstrated with the minimum of mathematical knowledge assumed. This second edition offers additional examples in each chapter, and detailed additions and alterations made to the text. New chapters consist of the general theory of uncertainty and applications to industry and a new section discusses the use of orthogonal polynomials in curve fitting. Focusing on practical problems of measurement, Uncertainty, Calibration and Probability is an invaluable reference tool for R&D laboratories in the engineering/manufacturing industries and for undergraduate and graduate students in physics, engineering, and metrology.




Practical Density Measurement and Hydrometry


Book Description

The introduction of the ISO 9000 quality standard resulted in renewed interest and pressure on industry to strengthen their quality and metrology standards. To meet this renewed interest Practical Density Measurement and Hydrometry provides invaluable, contemporary information on mass metrology. The book highlights the principles of physics involved and the technology needed to accurately measure the density of solids and liquids to high precision to meet the increasing demands on the metrology industry. Starting with national and international density standards, the book proceeds to discuss the variety of methods used to accurately measure solid and liquid density, to compare and contrast these techniques, and to thoroughly explain the thermal dilation of liquids. It also examines interferometers used in dimensional measurements of solid-based density standards, corrections applicable due to finite aperture, phase change due to reflection and ringing, and special methods for density determination. The final chapters detail specific points of relevance to density measurements and hydrometry for materials commonly used in industry. Complimented with practical guidance on applying these measurement techniques, calibration procedures, and data tables, this book is an essential reference for metrologists and a valuable introduction for graduate students.




The Measurement of Scientific, Technological and Innovation Activities Oslo Manual 2018 Guidelines for Collecting, Reporting and Using Data on Innovation, 4th Edition


Book Description

What is innovation and how should it be measured? Understanding the scale of innovation activities, the characteristics of innovative firms and the internal and systemic factors that can influence innovation is a prerequisite for the pursuit and analysis of policies aimed at fostering innovation.




Measuring Science, Technology, and Innovation


Book Description

The measurement of scientific, technological, and innovative activities (STI) in the economy is an increasing challenge faced by statistical agencies around the world. Measuring Science, Technology, and Innovation: A Review surveys the current state of the art including the concept of indicators, their quality and use, and a schematic model of the STI system that can identify gaps in the set of indicators commonly in use. The authors review the developments in STI measurement that have taken place in the rest of the world, particularly the widespread use of innovation surveys. The monograph concludes with a discussion of the measurement gaps and issues in the U.S., which we identify as innovation (especially in the service sector), non-R&D investment related to innovation, data timeliness, data linkages, measurement related to public policy goals, and the sources of capital for innovation.After an introduction, Section 2 summarizes the framework for analysis of the STI system that is most widely used by economists. Section 3 considers how the specific data currently collected by the U.S. government, and indicators constructed from those data, relate to the important concepts within the framework. Section 4 expands this discussion by reviewing data collected and indicators published by other countries and international organizations. Section 5 then turns to the issues of policy, and draws explicit connections between important policy questions and indicators, using the framework of Section 2. Section 6 builds on these discussions to highlight gaps and issues with the existing indicators, and Section 7 provides concluding comments.




Measurement and Probability


Book 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 and illustrated 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.




The Measurement of Scientific, Technological and Innovation Activities Frascati Manual 2015 Guidelines for Collecting and Reporting Data on Research and Experimental Development


Book Description

The internationally recognised methodology for collecting and using R&D statistics, the OECD's Frascati Manual is an essential tool for statisticians and science and innovation policy makers worldwide. It includes definitions of basic concepts, data collection guidelines, and classifications ...