Distribution of the sum of independent unity-truncated logarithmic series variables
1970
- 182Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage182
- Downloads138
- Abstract Views44
Report Description
Let X1, X2, ..., Xn be n independent and identically distributed random variables having the unity-truncated logarithmic series distribution with probability function given by f(x;θ) = αθX/x x ε T where α = [-log(1-θ) - θ]-1, 0 < θ < 1, and T = {2,3,...,∞}. Define their sum as Z = X1 + X2 + ... + Xn.We derive here the distribution of Z, denoted by p(z;n,θ), using the inversion formula for characteristic functions, in an explicit form in terms of a linear combination of Stirling numbers of the first kind. A recurrence relation for the probability function p(z;n,θ) is obtained and is utilized to provide a short table of p(z;n,θ) for certain values of n and θ. Furthermore, some properties of p(z;n,θ) are investigated following Patil and Wani [Sankhya, Series A, 27, (1965), 271-280].
Bibliographic Details
http://archives.pdx.edu/ds/psu/9559; http://dx.doi.org/10.15760/etd.730; https://pdxscholar.library.pdx.edu/open_access_etds/730; https://pdxscholar.library.pdx.edu/cgi/viewcontent.cgi?article=1729&context=open_access_etds; https://dx.doi.org/10.15760/etd.730; https://pdxscholar.library.pdx.edu/open_access_etds/730/
Portland State University Library
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know