Results 31 to 40 of about 2,824,870 (282)

The Extremal Index of Sub-Sampled Periodic Sequences with Strong Local Dependence

open access: yesRevstat Statistical Journal, 2003
Let X = {Xn}n≥1 be a T-periodic sequence. We define a family of local dependence conditions D (k) T (u), k ≥ 1, and calculate the extremal index θX from the distributions of k consecutive variables of X.
H. Ferreira, A.P. Martins
doaj   +1 more source

Modeling Best Practice Life Expectancy Using Gumbel Autoregressive Models

open access: yesRisks, 2021
Best practice life expectancy has recently been modeled using extreme value theory. In this paper we present the Gumbel autoregressive model of order one—Gumbel AR(1)—as an option for modeling best practice life expectancy. This class of model represents
Anthony Medford
doaj   +1 more source

Extreme value and Haar series estimates of point process boundaries [PDF]

open access: yes, 2011
We present a new method for estimating the edge of a two-dimensional bounded set, given a finite random set of points drawn from the interior. The estimator is based both on Haar series and extreme values of the point process.
Extreme Values   +3 more
core  

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen   +23 more
wiley   +1 more source

Detecting Extreme Values with Order Statistics in Samples from Continuous Distributions

open access: yesMathematics, 2020
In the subject of statistics for engineering, physics, computer science, chemistry, and earth sciences, one of the sampling challenges is the accuracy, or, in other words, how representative the sample is of the population from which it was drawn.
Lorentz Jäntschi
doaj   +1 more source

Extreme values and fat tails of multifractal fluctuations

open access: yes, 2005
In this paper we discuss the problem of the estimation of extreme event occurrence probability for data drawn from some multifractal process. We also study the heavy (power-law) tail behavior of probability density function associated with such data.
A. Kozhemyak   +19 more
core   +1 more source

Clinical Insights Into Hypercalcemia of Malignancy in Childhood

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Hypercalcemia of malignancy (HCM) is a rare but life‐threatening metabolic emergency in children that occurs in less than 1% of pediatric cancer cases, with a reported incidence ranging from 0.4% to 1.0% across different studies. While it is observed in 10%–20% of adult malignancies, pediatric HCM remains relatively uncommon.
Hüseyin Anıl Korkmaz
wiley   +1 more source

Extreme values for Benedicks-Carleson quadratic maps [PDF]

open access: yes, 2010
We consider the quadratic family of maps given by $f_{a}(x)=1-a x^2$ with $x\in [-1,1]$, where $a$ is a Benedicks-Carleson parameter. For each of these chaotic dynamical systems we study the extreme value distribution of the stationary stochastic ...
Ana Cristina   +3 more
core  

Extreme values of class numbers of real quadratic fields

open access: yes, 2015
We improve a result of H. L. Montgomery and J. P. Weinberger by establishing the existence of infinitely many fundamental discriminants $d>0$ for which the class number of the real quadratic field $\mathbb{Q}(\sqrt{d})$ exeeds $(2e^{\gamma}+o(1)) \sqrt{d}
Lamzouri, Youness
core   +1 more source

Extremal Properties of Extreme Value Distributions

open access: yesThe Annals of Mathematical Statistics, 1951
The upper and lower bounds for the expectation, the coefficient of variation, and the variance of the largest member of a sample from a symmetric population are discussed. The upper bound for the expectation (Table 1, Fig. 1), the lower bound for the C.V. (Table 2, Fig. 4) and the lower bound for the variance (Fig.
openaire   +3 more sources

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