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Non-normal Approximation

2011
Momentarily departing from the normal case, approximations by continuous distributions for which the methods of the previous chapters may be extended are considered in Chap. 13. The bounds developed are applied to the approximation of the distribution of the total spin of the Curie–Weiss model from statistical physics, at the critical inverse ...
Louis H. Y. Chen   +2 more
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On Simulating Non-Normal Distributions

Psychometrika, 1980
Six different algorithms to generate widely different non-normal distributions are reviewed. These algorithms are compared in terms of speed, simplicity and generality of the technique. The advantages and disadvantages of using these algorithms are briefly discussed.
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Situation: Non-Normal

2002
On July 13, 1993, Boeing issued a 6-page document as part of a series of occasional newsletters called Boeing Flight Operations Review. The new edition had an unwieldy title: “Guidelines for Situations Which Are Beyond the Scope of the Non-normal Procedures.” The average person would call a non-normal procedure on an airplane an emergency of some kind ...
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Non-normality points and nice spaces

Commentationes Mathematicae Universitatis Carolinae, 2021
The main result of this paper reads as follows: Let \(X\) be a normal crowded space having a \(\pi\)-base \(\mathcal{B}\) with some special properties. Let \(\sigma\subset\mathcal{B}\) be a nice family (i.e., a maximal locally finite disjoint family of open sets). Assume that \(p\in\beta X\setminus X\) is such that \(p\) does not belong to the closure (
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Measuring non-normality

2013
I test di normalità sono in questo contesto utilizzati come indici per quantificare il livello di non normalità di un campione. quindi , data una statistica t, il campione "peggiore" risulta essere quello che minimizza e/o massimizza t. Le strutture delle peggiori configurazioni campionarie, ottenute con alcune statistiche di frequente uso, sono infine
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Dealing With Non‐normal Data

PM&R, 2012
Although some continuous variables follow a normal, or bell-shaped, distribution, many do not. Non-normal distributions may lack symmetry, may have extreme values, or may have a flatter or steeper “dome” than a typical bell. There is nothing inherently wrong with non-normal data; some traits simply do not follow a bell curve.
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Non-normal responses

1999
Abstract Models based on the multivariate normal distribution, as described in the previous two chapters, have been widely used in the analysis of repeated measurements because they are well understood, with widely available software.
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Non-normal hasemann boundary value problem

Wuhan University Journal of Natural Sciences, 2001
It is considered an exceptional case of the Hasemann boundary value problem \[ \Phi^{+}(\alpha(t)) +\frac{\Pi_1(t)}{\Pi_2(t)} G(t)\Phi^{-}(t) + g(t), t\in L, \] with an orientation-preserving shift \(\alpha : L \rightarrow L\) on a Lyapunov closed curve \(L\) on the complex plane. Solvability results are formulated in both homogeneous and inhomogeneous
Cai, Hantao, Du, Jinyuan
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Extremely non-normal numbers

Mathematical Proceedings of the Cambridge Philosophical Society, 2004
From a measure-theoretic point of view, (Lebesgue) almost any number \(x\in[0,1]\) is normal, i.e., for any \(N\), the asymptotic frequency of any finite string of digits of length \(k\) in the non-terminating base \(N\) expansion of \(x\) is defined and equals \({1\over N^k}\).
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Groups with Polycyclic Non-Normal Subgroups

Algebra Colloquium, 2000
The article under review is dedicated to groups in which all non-normal subgroups are soluble with finite section rank, soluble with finite Prüfer rank, soluble minimax, polycylic, and so on. The main results are very close by spirit and methods of proofs to the main results of the following articles, not mentioned among the references, \textit{L.
DE GIOVANNI, FRANCESCO   +2 more
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