Abstract | ||
---|---|---|
In this paper, we provide a general definition of the Leimkuhler curve in terms of the theoretical cumulative distribution function. The definition applies to discrete, continuous and mixed random variables. Several examples are given to illustrate the use of the formula. |
Year | DOI | Venue |
---|---|---|
2008 | 10.1016/j.joi.2008.01.002 | Journal of Informetrics |
Keywords | Field | DocType |
Productivity,Cumulative distribution function,Incomplete beta function,Lorenz curve | Applied mathematics,Data mining,Random variable,Beta function,Degenerate distribution,Lorenz curve,Cumulative distribution function,Inverse transform sampling,Probability density function,Mathematics,Calculus | Journal |
Volume | Issue | ISSN |
2 | 2 | 1751-1577 |
Citations | PageRank | References |
8 | 0.72 | 9 |
Authors | ||
1 |
Name | Order | Citations | PageRank |
---|---|---|---|
José María Sarabia | 1 | 36 | 7.61 |