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| Information Processing &… | 2 |
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| Journal Articles | 2 |
| Reports - Descriptive | 2 |
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Peer reviewedLafouge, Thierry; Laine-Cruzel, Sylvie – Information Processing & Management, 1997
Proposes a mathematical model using the probability formalism to explain why a geometrical law is observed in distributions related to library circulation data. Highlights include techniques based on convolution theory; Lotka's law; and Bradford's law. (Author/LRW)
Descriptors: Geometric Concepts, Library Circulation, Mathematical Formulas, Mathematical Models
Peer reviewedKumar, Suresh; Sharma, Praveen; Garg, K. C. – Information Processing & Management, 1998
Examines the applicability of Lotka's Law, negative binomial distribution, and lognormal distribution for institutional productivity in the same way as it is to authors and their productivity. Results indicate that none of the distributions are applicable for institutional productivity in engineering sciences. (Author/LRW)
Descriptors: Engineering, Institutional Characteristics, Mathematical Formulas, Productivity


