Expectation identities from integration by parts for univariate continuous random variables with applications to high-order moments-Reference-Cited by-同舟云学术

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Expectation identities from integration by parts for univariate continuous random variables with applications to high-order moments

Published:2022-06-08 Issue:2 Volume:64 Page:477-496
ISSN:0932-5026
Container-title:Statistical Papers
language:en
Short-container-title:Stat Papers

Author:

Wu Hong-Jiang,Zhang Ying-Ying^ORCID,Li Han-Yu

Funder

Ministry of Education (MOE) Project of Humanities and Social Sciences on the West and the Border Area

National Social Science Fund of China

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://link.springer.com/content/pdf/10.1007/s00362-022-01329-5.pdf

Reference40 articles.

1. Baquero-Ruiz M, Manke F, Furno I, Fasoli A, Ricci P (2018) Meandering particle bunches and a link between averages of time series of particle counts and higher-order moments. Phys Rev E 98(3):321

2. Bourin C, Bondon P (1998) Efficiency of high-order moment estimates. IEEE Trans Signal Process 46(1):255–258

3. Casella G, Berger RL (2002) Statistical inference, 2nd edn. Duxbury, Pacific Grove

4. Chakraborti S, Jardim F, Epprecht E (2019) Higher-order moments using the survival function: the alternative expectation formula. Am Stat 73(2):191–194

5. Chan LH, Chen K, Li CX, Wong CW, Yau CY (2020) On higher-order moment and cumulant estimation. J Stat Comput Simul 90(4):747–771

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