Limits and Inferences for Alpha–Stable Variables
Jensen Dr
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Jensen Dr: Department of Statistics, Virginia Polytechnic Institute and State University, USA
Biostatistics and Biometrics Open Access Journal, 2017, vol. 4, issue 1, 15-18
Abstract:
Distributions having excessive tails are modeled in various venues via α–stable sequences deficit in moments of various orders. Essential statistics are examined under independent vs spherically dependent cases. The former exhibits such critical pathologies as inconsistent sample means. The latter support versions of some classical procedures even without moments as conventionally required. In particular, despite heavy tails, Student’s tests for means nonetheless remain exact in level and power. etc. AMS Subject Classification: 62E15, 62H15, 62J20.
Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:4:y:2017:i:1:p:15-18
DOI: 10.19080/BBOAJ.2017.04.555630
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