語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Science Dynamics and Research Produc...
~
SpringerLink (Online service)
Science Dynamics and Research Production = Indicators, Indexes, Statistical Laws and Mathematical Models /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Science Dynamics and Research Production/ by Nikolay K. Vitanov.
其他題名:
Indicators, Indexes, Statistical Laws and Mathematical Models /
作者:
Vitanov, Nikolay K.
面頁冊數:
XVIII, 285 p. 5 illus.online resource. :
Contained By:
Springer Nature eBook
標題:
Statistics . -
電子資源:
https://doi.org/10.1007/978-3-319-41631-1
ISBN:
9783319416311
Science Dynamics and Research Production = Indicators, Indexes, Statistical Laws and Mathematical Models /
Vitanov, Nikolay K.
Science Dynamics and Research Production
Indicators, Indexes, Statistical Laws and Mathematical Models /[electronic resource] :by Nikolay K. Vitanov. - 1st ed. 2016. - XVIII, 285 p. 5 illus.online resource. - 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:
1253516
Statistics .
LC Class. No.: QA276-280
Dewey Class. No.: 519.5
Science Dynamics and Research Production = Indicators, Indexes, Statistical Laws and Mathematical Models /
LDR
:03707nam a22004095i 4500
001
978938
003
DE-He213
005
20200630134956.0
007
cr nn 008mamaa
008
201211s2016 gw | s |||| 0|eng d
020
$a
9783319416311
$9
978-3-319-41631-1
024
7
$a
10.1007/978-3-319-41631-1
$2
doi
035
$a
978-3-319-41631-1
050
4
$a
QA276-280
072
7
$a
PBT
$2
bicssc
072
7
$a
MAT029000
$2
bisacsh
072
7
$a
PBT
$2
thema
082
0 4
$a
519.5
$2
23
100
1
$a
Vitanov, Nikolay K.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1112858
245
1 0
$a
Science Dynamics and Research Production
$h
[electronic resource] :
$b
Indicators, Indexes, Statistical Laws and Mathematical Models /
$c
by Nikolay K. Vitanov.
250
$a
1st ed. 2016.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2016.
300
$a
XVIII, 285 p. 5 illus.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Qualitative and Quantitative Analysis of Scientific and Scholarly Communication,
$x
2365-8371
505
0
$a
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.
520
$a
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.
650
0
$a
Statistics .
$3
1253516
650
0
$a
Printing.
$3
599714
650
0
$a
Publishers and publishing.
$3
572437
650
0
$a
Economic policy.
$3
555567
650
0
$a
Statistical physics.
$3
528048
650
0
$a
Social sciences.
$3
572679
650
1 4
$a
Statistical Theory and Methods.
$3
671396
650
2 4
$a
Printing and Publishing.
$3
669578
650
2 4
$a
R & D/Technology Policy.
$3
669186
650
2 4
$a
Applications of Nonlinear Dynamics and Chaos Theory.
$3
1113607
650
2 4
$a
Methodology of the Social Sciences.
$3
669263
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783319416298
776
0 8
$i
Printed edition:
$z
9783319416304
776
0 8
$i
Printed edition:
$z
9783319824017
830
0
$a
Qualitative and Quantitative Analysis of Scientific and Scholarly Communication,
$x
2365-8371
$3
1268223
856
4 0
$u
https://doi.org/10.1007/978-3-319-41631-1
912
$a
ZDB-2-SMA
912
$a
ZDB-2-SXMS
950
$a
Mathematics and Statistics (SpringerNature-11649)
950
$a
Mathematics and Statistics (R0) (SpringerNature-43713)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入