The Power of Lotka’s Law Through the Eyes of R
Journal Title: Revista Romana de Statistica - Year 2015, Vol 63, Issue 2
Abstract
The paper aims to outline the author impact based on Lotka’s Law using R. Lotka’s Law is well known as “the inverse square law of scientific productivity.” It states that the number of authors publishing a certain number of articles is a fixed ratio to the number of authors publishing a single article. The study found authoring patterns do not match to Lotka’s Law. The study summarizes the results using ggplot2. While the study fail to support eminent literary authors productivity, future tests should use full data set, and avoid using samples or grouping as alternative. This is the first attempt to utilize R to employ Lotka’s law using R.
Authors and Affiliations
Alon Friedman
METHODOLOGICAL PROPOSAL FOR COMPILING THE ILO UNEMPLOYMENT WITH MONTHLY PERIODICITY
Development of methodology for deriving the monthly unemployment statistics directly from the quarterly Labour Force Survey (LFS) results by econometric modeling meets the requirements of insuring the information on shor...
Impactul îmbătrânirii globale a populaţiei asupra randamentului şi preţului acţiunilor
Prin numeroase studii s-a încercat să se modeleze legătura dintre structura populaţiei şi a pieţelor financiare. A fost evidenţiată posibilitatea unui colaps în viitor pe pieţele financiare, prin economii şi investiţii m...
The Econometric Model for the Economic and Financial Analysis of Romanian International Trade
This paper describes the evolutions of the international trade of Romania during the recent period. The authors rely on official statistical data, drawn from the publications of the National Institute of Statistics and t...
CAPM Model Used in Risk Analysis on the Capital Market
Stock exchanges continue to be very attractive for potential investors, due to the fact that the gain they can provide is an offer not to be ignored. However, financial agents and managers must be aware that risk is a co...
Some aspects regarding the extension of Edgeworth test to nonlinear restrictions
This paper presents the most important elements of the Edgeworth tests applied to non-linear restrictions. Following a brief introduction, the authors develop on the linear regression with non-linear hypothesis, the vari...