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http://hdl.handle.net/1942/3848
Title: | Classification of growth-models based on growth-rates and its applications | Authors: | EGGHE, Leo RAO, Ravichandra |
Issue Date: | 1992 | Source: | SCIENTOMETRICS, 25(1). p. 5-46 | Abstract: | In this paper, growth models are classified and characterised using two types of growth rates: from time t to t + 1 and from time t to 2t. They are interesting in themselves but can also be used for a quick prediction of the type of growth model that is valid in a particular case. These ideas are applied on 20 data sets collected by Wolfram, Chu and Lu. We determine (using the above classification as well as via nonlinear regression techniques) that the power model (with exponent > 1) is the best growth model for Sci-Tech online databases, but that Gompertz-S-shaped distribution is the best for social sciences and humanities online databases. | Notes: | UNIV INSTELLING ANTWERP,B-2610 WILRIJK,BELGIUM. DRTC,BANGALORE 5600059,INDIA.EGGHE, L, LIMBURGS UNIV CENTRUM,UNIV CAMPUS,B-3590 DIEPENBEEK,BELGIUM. | Document URI: | http://hdl.handle.net/1942/3848 | DOI: | 10.1007/BF02016845 | ISI #: | A1992JU16400001 | Type: | Journal Contribution |
Appears in Collections: | Research publications |
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