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Science dynamics and research production[electronic resource] :indicators, indexes, statistical laws and mathematical models /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	519.5
書名/作者:	Science dynamics and research production : indicators, indexes, statistical laws and mathematical models // by Nikolay K. Vitanov.
作者:	Vitanov, Nikolay K.
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xviii, 285 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Statistical Theory and Methods.
標題:	Printing and Publishing.
標題:	R & D/Technology Policy.
標題:	Nonlinear Dynamics.
標題:	Methodology of the Social Sciences.
標題:	Research.
標題:	Mathematical statistics.
標題:	Mathematical models.
標題:	Statistics.
ISBN:	9783319416311
ISBN:	9783319416298
內容註:	Complex Structure and System of Science - Quality and Quantity in the Study of Science, Scientific Work and Scientific Productivity - The Role of Mathematics -- Scientific Productivity of Individual Researchers -- Indexes for Characteristics of Research Productivity in a Group of Researchers -- Comparison of Research Productivities of Groups of Researchers -- Frequency and the Rank Approaches to Scientific Productivity -- Selected Models for Evolution of Research Organizations and Scientific Productivity -- Several Concluding Remarks.
摘要、提要註:	This book deals with methods to evaluate scientific productivity. In the book statistical methods, deterministic and stochastic models and numerous indexes are discussed that will help the reader to understand the nonlinear science dynamics and to be able to develop or construct systems for appropriate evaluation of research productivity and management of research groups and organizations. The dynamics of science structures and systems is complex, and the evaluation of research productivity requires a combination of qualitative and quantitative methods and measures. The book has three parts. The first part is devoted to mathematical models describing the importance of science for economic growth and systems for the evaluation of research organizations of different size. The second part contains descriptions and discussions of numerous indexes for the evaluation of the productivity of researchers and groups of researchers of different size (up to the comparison of research productivities of research communities of nations) Part three contains discussions of non-Gaussian laws connected to scientific productivity and presents various deterministic and stochastic models of science dynamics and research productivity. The book shows that many famous fat tail distributions as well as many deterministic and stochastic models and processes, which are well known from physics, theory of extreme events or population dynamics, occur also in the description of dynamics of scientific systems and in the description of the characteristics of research productivity. This is not a surprise as scientific systems are nonlinear, open and dissipative.
電子資源:	http://dx.doi.org/10.1007/978-3-319-41631-1

Science dynamics and research production[electronic resource] :indicators, indexes, statistical laws and mathematical models /
Vitanov, Nikolay K.

Science dynamics and research productionindicators, indexes, statistical laws and mathematical models /[electronic resource] :by Nikolay K. Vitanov. - Cham :Springer International Publishing :2016. - xviii, 285 p. :ill., digital ;24 cm. - Qualitative and quantitative analysis of scientific and scholarly communication,2365-8371. - Qualitative and quantitative analysis of scientific and scholarly communication..

Complex Structure and System of Science - Quality and Quantity in the Study of Science, Scientific Work and Scientific Productivity - The Role of Mathematics -- Scientific Productivity of Individual Researchers -- Indexes for Characteristics of Research Productivity in a Group of Researchers -- Comparison of Research Productivities of Groups of Researchers -- Frequency and the Rank Approaches to Scientific Productivity -- Selected Models for Evolution of Research Organizations and Scientific Productivity -- Several Concluding Remarks.

This book deals with methods to evaluate scientific productivity. In the book statistical methods, deterministic and stochastic models and numerous indexes are discussed that will help the reader to understand the nonlinear science dynamics and to be able to develop or construct systems for appropriate evaluation of research productivity and management of research groups and organizations. The dynamics of science structures and systems is complex, and the evaluation of research productivity requires a combination of qualitative and quantitative methods and measures. The book has three parts. The first part is devoted to mathematical models describing the importance of science for economic growth and systems for the evaluation of research organizations of different size. The second part contains descriptions and discussions of numerous indexes for the evaluation of the productivity of researchers and groups of researchers of different size (up to the comparison of research productivities of research communities of nations) Part three contains discussions of non-Gaussian laws connected to scientific productivity and presents various deterministic and stochastic models of science dynamics and research productivity. The book shows that many famous fat tail distributions as well as many deterministic and stochastic models and processes, which are well known from physics, theory of extreme events or population dynamics, occur also in the description of dynamics of scientific systems and in the description of the characteristics of research productivity. This is not a surprise as scientific systems are nonlinear, open and dissipative.

ISBN: 9783319416311

Standard No.: 10.1007/978-3-319-41631-1doiSubjects--Topical Terms:

464135
Statistical Theory and Methods.

LC Class. No.: Q180.A1

Dewey Class. No.: 519.5

Science dynamics and research production[electronic resource] :indicators, indexes, statistical laws and mathematical models /
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