Moments of Discrete Probability Distributions Derived Using a Differential Operator
作者:
ThomasL. Boullion,
JohnW. Seaman,
DeanM. Young,
期刊:
The American Statistician
(Taylor Available online 1992)
卷期:
Volume 46,
issue 1
页码: 22-24
ISSN:0003-1305
年代: 1992
DOI:10.1080/00031305.1992.10475840
出版商: Taylor & Francis Group
关键词: Expectation;Variance
数据来源: Taylor
摘要:
Link and others have derived formulas for the moments of certain discrete probability distributions using various finite-difference operators. In this article, we establish a method of obtaining moments of certain discrete distributions that makes use of differential operators. The derivations are elegant and more compact than derivations using standard methods. Students in a first-year mathematical statistics course are typically more acquainted with differential operators than with difference operators. Contrasted with difference operators, this familiarity affords a better opportunity to introduce the connection between operator mathematics and probability in such courses. However, we propose that both operators be employed: differential operators to introduce the connection and difference operators to broaden the students' exposure and prepare them for such courses as time series analysis.
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