Order statistics and renormalization

Anthony Pakes

doi:10.1016/j.spl.2007.07.020

Order statistics and renormalization

Anthony Pakes

UWA Business School

Research output: Contribution to journal › Article › peer-review

Abstract

Strong convergence, and a weak limit theorem, are obtained for a scheme of ‘renormalized’ order statistics whose distribution functions are defined by a scheme of functional iteration.

Original language	English
Pages (from-to)	463-470
Journal	Statistics & Probability Letters
Volume	78
Issue number	5
DOIs	https://doi.org/10.1016/j.spl.2007.07.020
Publication status	Published - 2008

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10.1016/j.spl.2007.07.020

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title = "Order statistics and renormalization",

abstract = "Strong convergence, and a weak limit theorem, are obtained for a scheme of {\textquoteleft}renormalized{\textquoteright} order statistics whose distribution functions are defined by a scheme of functional iteration.",

author = "Anthony Pakes",

year = "2008",

doi = "10.1016/j.spl.2007.07.020",

language = "English",

volume = "78",

pages = "463--470",

journal = "Statistics & Probability Letters",

issn = "0167-7152",

publisher = "Elsevier",

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AU - Pakes, Anthony

PY - 2008

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N2 - Strong convergence, and a weak limit theorem, are obtained for a scheme of ‘renormalized’ order statistics whose distribution functions are defined by a scheme of functional iteration.

AB - Strong convergence, and a weak limit theorem, are obtained for a scheme of ‘renormalized’ order statistics whose distribution functions are defined by a scheme of functional iteration.

U2 - 10.1016/j.spl.2007.07.020

DO - 10.1016/j.spl.2007.07.020

M3 - Article

SN - 0167-7152

VL - 78

SP - 463

EP - 470

JO - Statistics & Probability Letters

JF - Statistics & Probability Letters

IS - 5

ER -

Order statistics and renormalization

Abstract

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