Science Dynamics and Research Production: Indicators, Indexes, Statistical Laws and Mathematical Models - Couverture souple
Livre 2 sur 4: Qualitative and Quantitative Analysis of Scientific and Scholarly Communication
Synopsis
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.
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Science Dynamics and Research Production (eng)
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Science Dynamics and Research Production: Indicators, Indexes, Statistical Laws and Mathematical Models (Qualitative and Quantitative Analysis of Scientific and Scholarly Communication)
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Science Dynamics and Research Production : Indicators, Indexes, Statistical Laws and Mathematical Models
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Science Dynamics and Research Production
Edité par
Springer International Publishing Jun 2018, 2018
ISBN 10 : 3319824015
ISBN 13 : 9783319824017
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 304 pp. Englisch. N° de réf. du vendeur 9783319824017
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Science Dynamics and Research Production: Indicators, Indexes, Statistical Laws and Mathematical Models (Qualitative and Quantitative Analysis of Scientific and Scholarly Communication)
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Science Dynamics and Research Production: Indicators, Indexes, Statistical Laws and Mathematical Models (Qualitative and Quantitative Analysis of Scientific and Scholarly Communication)
impression à la demandeVendeur : Majestic Books, Hounslow, Royaume-Uni
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Science Dynamics and Research Production: Indicators, Indexes, Statistical Laws and Mathematical Models (Qualitative and Quantitative Analysis of Scientific and Scholarly Communication)
impression à la demandeVendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Etat : New. PRINT ON DEMAND pp. 304. N° de réf. du vendeur 18379120825
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Science Dynamics and Research Production
Edité par
Springer International Publishing, 2018
ISBN 10 : 3319824015
ISBN 13 : 9783319824017
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents mathematical methods to evaluate the efficiency of researchDescribes models, indicators and indexes to quantify research productivityShows ways to improve the output of research groups and organizationsDiscusses n. N° de réf. du vendeur 448757019
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Science Dynamics and Research Production
Edité par
Springer, Palgrave Macmillan Jun 2018, 2018
ISBN 10 : 3319824015
ISBN 13 : 9783319824017
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 304 pp. Englisch. N° de réf. du vendeur 9783319824017
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Science Dynamics and Research Production : Indicators, Indexes, Statistical Laws and Mathematical Models
ISBN 10 : 3319824015
ISBN 13 : 9783319824017
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783319824017
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