Results 91 to 100 of about 90,888 (192)

Edgeworth expansions in small noise asymptotics

open access: yes, 2018
The paper considers Edgeworth expansions for estimators of volatility. Unlike the usual expansions, we have found that in order to obtain meaningful terms, one needs to let the size of the noise to go zero asymptotically.
Lan Zhang (5408513)   +2 more
core   +1 more source

Edgeworth expansions for lattice triangular arrays [PDF]

open access: yes, 2014
Edgeworth expansions have been introduced as a generalization of the central limit theorem and allow to investigate the convergence properties of sums of i.i.d. random variables.
Bock, Alona (M.Sc.)
core   +1 more source

Confidence Intervals for a Binomial Proportion And Edgeworth Expansions

open access: yes, 1999
We address the classic problem of interval estimation of a binomial proportion. The Wald interval p\Sigmaz ff=2 n \Gamma1=2 (p(1\Gamma p)) 1=2 is currently in near universal use.
Edgeworth Expansions   +3 more
core  

Tilted Edgeworth expansions for asymptotically normal vectors

open access: yes, 2010
We obtain the Edgeworth expansion for P(n1/2(θ̂- θ) <x) and its derivatives, and the tilted Edgeworth (or saddlepoint or small sample) expansion for P(θ <x) and its derivatives where θ is any vector estimate having the standard cumulant expansions ...
Nadarajah, Saralees; id_orcid   +1 more
core   +1 more source

Acute Immune Signatures and Their Legacies in Severe Acute Respiratory Syndrome Coronavirus-2 Infected Cancer Patients. [PDF]

open access: yesCancer Cell, 2021
Abdul-Jawad S   +50 more
europepmc   +1 more source

Test for normality based on an Edgeworth expansion

open access: yesSri Lankan Journal of Applied Statistics
Many statistical procedures require the assumption that the observations in a random sample are drawn from a normal distribution. Several statistical techniques, mostly based on either population moments or empirical distribution functions, are currently available to test whether the observations in a random sample are normally distributed.
K. P. Hapuarachchi   +2 more
openaire   +1 more source

Vision and Influence in Econometrics: John Denis Sargan [PDF]

open access: yes
Denis Sargan's intellectual influence in econometrics is discussed and some of his visions for the future of econometrics are considered in this memorial article.
Peter C.B. Phillips
core  

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