Mishra, SK (2010): Empirical probability distribution of journal impact factor and overthesamples stability in its estimated parameters.

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Abstract
The data on JIFs provided by Thomson Scientific can only be considered as a sample since they do not cover the entire universe of those documents that cite an intellectual output (paper, article, etc) or are cited by others. Then, questions arise if the empirical distribution (best fit to the JIF data for any particular year) really represents the true or universal distribution, are its estimated parameters stable over the samples and do they have some scientific interpretation? It may be noted that if the estimated parameters do not exhibit stability over the samples (while the sample size is large enough), they cannot be scientifically meaningful, since science is necessarily related with a considerable degree of regularity and predictability. Stability of parameters is also a precondition to other statistical properties such as consistency. If the estimated parameters lack in stability and scientific meaning, then the empirical distribution, howsoever fit to data, has little significance. This study finds that although Burr4p, Dagum4p and Johnson SU distributions fit extremely well to the subsamples, the parameters of the first two distributions do not have stability over the subsamples. The Johnson SU parameters have this property.
Item Type:  MPRA Paper 

Original Title:  Empirical probability distribution of journal impact factor and overthesamples stability in its estimated parameters 
Language:  English 
Keywords:  Journal Impact Factor; JIF 2008; BurrXII; Dagum; Johnson SU; empirical probability distribution; overthesamples stability in parameters; skewness; kurtosis 
Subjects:  C  Mathematical and Quantitative Methods > C1  Econometric and Statistical Methods and Methodology: General > C16  Specific Distributions C  Mathematical and Quantitative Methods > C4  Econometric and Statistical Methods: Special Topics > C46  Specific Distributions; Specific Statistics 
Item ID:  20919 
Depositing User:  Sudhanshu Kumar Mishra 
Date Deposited:  25. Feb 2010 18:35 
Last Modified:  16. Feb 2013 18:44 
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URI:  http://mpra.ub.unimuenchen.de/id/eprint/20919 