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Hamiltonian circuits in interval graph generalizations

Information Processing Letters, 1986
We consider the problem of finding a Hamiltonian circuit in some classes of intersection graphs which generalize interval graphs. We show that the problem is NP-complete for undirected path graphs (and hence chordal graphs), double interval graphs, and rectangle graphs.
BERTOSSI AA, BONUCCELLI, MAURIZIO ANGELO
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Reasoning about generalized intervals

1998
Extending previous notions of generalized intervals, this paper defines the generalized interval as a tuple of solutions of some consistent interval network. It studies the possible relations between such generalized intervals and introduces the notion of a generalized interval network.
P. Balbiani   +3 more
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Generic $$\delta $$-chaos for erasing interval maps

Bollettino dell'Unione Matematica Italiana, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Successive generalized confidence intervals

2022
The majority of work on multiple comparisons is on comparing the means of k ⩾3 populations following the work of Tukey (1953) on pairwise comparisons of k population means, of Dunnett (1955) on comparisons of several means with a control mean, and of Scheff ́e (1953) on all-contrast comparisons among the population means.
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gintreg: Generalized interval regression

The Stata Journal: Promoting communications on statistics and Stata
Many important research questions involve regression models in which the dependent variable is censored or reported in intervals rather than as a numerical value. A common approach to treating these problems is to assume that the data correspond to a certain distribution (for example, a normal distribution) and then apply maximum ...
James B. McDonald, Jacob Triplett
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Sieve-Generated Sequences with Translated Intervals

Canadian Journal of Mathematics, 1967
Consider the following sieve process. Let A(1) be the sequence of integers greater than 1. Let A(n+1) be obtained from A(n) = {a1(n), a2(n), …} by eliminating one element from each of the intervals Ik(n), whereWe let an = an(n) and A = {an} be the sequence of integers that survive the sieve. M. C.
Buschman, R. G., Wunderlich, M. C.
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On interval additive generators of interval overlap functions and interval grouping functions

Fuzzy Sets and Systems, 2017
Overlap functions and grouping functions are generalizations of continuous t-norms and t-conorms, respectively, when associativity is dropped. These functions can be applied in decision making, classification or image processing. In this paper, the authors introduce interval overlap functions and interval grouping functions and show their properties ...
Junsheng Qiao, Bao Qing Hu
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Tropical Generalized Interval Systems

2019
This paper aims to refine the formalization of David Lewin’s Generalized Interval System (GIS) by the means of tropical semirings. Such a new framework allows to broaden the GIS model introducing a new operation and consequently new musical and conceptual insights and applications, formalizing consistent relations between musical elements in an ...
Giovanni Albini, Marco Paolo Bernardi
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Confidence Intervals for the Generalized ROC Criterion

Biometrics, 1997
Receiver operating characteristic (ROC) curves are frequently used to assess the usefulness of diagnostic markers. When several diagnostic markers are available, they can be combined by a best linear combination: that is, when the area under the ROC curve of this combination is maximized among all possible linear combinations.
Reiser, Benjamin, Faraggi, David
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Generating fuzzy intervals using gradual intervals and gradual numbers

Fuzzy Sets and Systems, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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