Search results for " Generalized"

showing 10 items of 87 documents

Generalized F-Contractions on Product of Metric Spaces

2019

Our purpose in this paper is to extend the fixed point results of a &psi

Pure mathematicslcsh:MathematicsGeneral Mathematics<i>ψF</i>-contraction generalized <i>ψF</i>-contraction<i>F</i>-contractionNatural numberFixed pointlcsh:QA1-939Metric spaceTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESfixed pointComputer Science (miscellaneous)Product topologyF contractionHigh Energy Physics::ExperimentEngineering (miscellaneous)MathematicsMathematics
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Fitting linear models and generalized linear models with large data sets in R

2009

We present an estimating algorithm to fit linear and generalized linear models not involving the QR decomposition. Some new R functions are presented and discussed. For large data sets, comparisons with respect to the well-known lm() and glm(), as well as to biglm() and bigglm() from the package biglm, show that the proposed functions speed up computation while preserving numerical stability and accuracy

Regression updating methodology and algorithms of statistical computing linear regression generalized linear regression statistical computing R programmingSettore SECS-S/01 - Statistica
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Generalized Entropies, Variance and Applications

2020

The generalized cumulative residual entropy is a recently defined dispersion measure. In this paper, we obtain some further results for such a measure, in relation to the generalized cumulative residual entropy and the variance of random lifetimes. We show that it has an intimate connection with the non-homogeneous Poisson process. We also get new expressions, bounds and stochastic comparisons involving such measures. Moreover, the dynamic version of the mentioned notions is studied through the residual lifetimes and suitable aging notions. In this framework we achieve some findings of interest in reliability theory, such as a characterization for the exponential distribution, various resul…

Reliability theory62B10Exponential distributionGeneral Physics and AstronomyPoisson processlcsh:Astrophysicsstochastic orders02 engineering and technologyResidualvariance01 natural sciencesArticle62N05010104 statistics & probabilitysymbols.namesakelcsh:QB460-4660202 electrical engineering electronic engineering information engineeringApplied mathematics60E050101 mathematicsgeneralized cumulative entropylcsh:ScienceResidual entropyGeneralized cumulative entropy; Generalized cumulative residual entropy; Variance; Mean residual life; Stochastic ordersMathematics94A17generalized cumulative residual entropymean residual lifelcsh:QC1-999stochastic orders.symbols020201 artificial intelligence & image processinglcsh:Qlcsh:PhysicsEntropy
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Dealing with dependence in retrospective ecological data through longitudinal models

2008

Settore BIO/07 - Ecologiaretrospective data longitudinal models generalized linear mixd modelsSettore SECS-S/01 - Statistica
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Simplified Formulation of Solution for Beams on Winkler Foundation allowing Discontinuities due to Loads and Constraints

2009

The paper discusses material for a course in Structural Mechanics addressed to second-Year Civil Engineering students. The response of beams on a Winkler foundation characterized by discontinuities in both the displacements (deflections and/or slopes) and forces (internal forces and/or loads) is studied. In particular, a simplified formulation for the solution of the discontinuous differential equation governing this problem is given. In some cases, the formulation is able to give the exact solution in a closed form. This is made possible through the use of the generalized functions, such as the well-known Unit Step Function and the Dirac delta function. The cases of discontinuities due to …

Settore ICAR/09 - Tecnica Delle CostruzioniWinkler foundation; generalized functions; discontinuous beam solutiongeneralized functionsgeneralized functionWinkler foundationdiscontinuous beam solution
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Random Stability of an Additive-Quadratic-Quartic Functional Equation

2010

Using the fixed point method, we prove the generalized Hyers-Ulam stability of the following additive-quadratic-quartic functional equation f(x+2y)+f(x&#x2212;2y)=2f(x+y)+2f(&#x2212;x&#x2212;y)+2f(x&#x2212;y)+2f(y&#x2212;x)&#x2212;4f(&#x2212;x)&#x2212;2f(x)+f(2y)+f(&#x2212;2y)&#x2212;4f(y)&#x2212;4f(&#x2212;y) in complete random normed spaces.

Settore MAT/05 - Analisi MatematicaApplied Mathematicslcsh:MathematicsDiscrete Mathematics and Combinatoricslcsh:QA1-939AnalysisRandom normed space fixed point generalized Hyers-Ulam stability additive-quadratic-quartic functional equationJournal of Inequalities and Applications
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Special Issue on Ciric type fixed point theorems

2015

Professor Ljubomir Ćirić was born on August 13, 1935 in Resnik, environmentof the Niš, in Serbia. Primary,secondary and university education Professor Ćirić received in Belgrade, where he completed his Mr Sci and his Dr Sci in 1969. His fields of specialization are Fixed point theory and Nonlinear analysis. He has been founder of different directions in the theory of fixed points, which and in today's time are in the full development. During the past 45 years, he has given significant contributions to these areas. We want point out that his works have been published and cited in prestigious international journals. Two of his work has been cited in the Web of Science over 560 times, each ove…

Settore MAT/05 - Analisi Matematicacontraction fixed point generalized contraction
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Generalized coherence and connection property of imprecise conditional previsions.

2008

In this paper we consider imprecise conditional prevision assessments on random quantities with finite set of possible values. We use a notion of generalized coherence which is based on the coherence principle of de Finetti. We consider the checking of g-coherence, by extending some previous results obtained for imprecise conditional probability assessments. Then, we study a connection property of interval-valued gcoherent prevision assessments, by extending a result given in a previous paper for precise assessments.

Settore MAT/06 - Probabilita' E Statistica MatematicaConditional random quantities; imprecise prevision assessments; generalized coherence; checking of g-coherence; connection property.Conditional random quantitiesimprecise prevision assessmentsconnection propertyConditional random quantities imprecise prevision assessments generalized coherence checking of g-coherence connection property.checking of g-coherencegeneralized coherence
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On general conditional random quantities

2009

In the first part of this paper, recalling a general discussion on iterated conditioning given by de Finetti in the appendix of his book, vol. 2, we give a representation of a conditional random quantity $X|HK$ as $(X|H)|K$. In this way, we obtain the classical formula $\pr{(XH|K)} =\pr{(X|HK)P(H|K)}$, by simply using linearity of prevision. Then, we consider the notion of general conditional prevision $\pr(X|Y)$, where $X$ and $Y$ are two random quantities, introduced in 1990 in a paper by Lad and Dickey. After recalling the case where $Y$ is an event, we consider the case of discrete finite random quantities and we make some critical comments and examples. We give a notion of coherence fo…

Settore MAT/06 - Probabilita' E Statistica Matematicageneral conditional random quantities; general conditional prevision assessments; generalized compound prevision theoremgeneral conditional prevision assessmentsiterated conditioninggeneralized compound prevision theoremgeneral conditional random quantitiesconditional eventsstrong generalized compound prevision theoremConditional events general conditional random quantities general conditional prevision assessments generalized compound prevision theorem iterated conditioning strong generalized compound prevision theoremconditional events; general conditional random quantities; general conditional prevision assessments; generalized compound prevision theorem; iterated conditioning; strong generalized compound prevision theorem.
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On Rao Score and Pearson X2 Statistics in Generalized Linear Models

2005

The identity of the Rao score and PearsonX 2 statistics is well known in the areas where the latter was first introduced: goodness-of-fit in contingency tables and binary responses. We show in this paper that the same identity holds when the two statistics are used for testing goodness-of-fit of Generalized Linear Models. We also highlight the connections that exist between the two statistics when they are used for the comparison of nested models. Finally, we discuss some merits of these unifying results.

Statistics and ProbabilityContingency tableProper linear modelstatisticLinear modelScoreRao scoreGeneralized linear mixed modelHierarchical generalized linear modelQuasi-likelihoodStatisticsStatistics Probability and Uncertaintylinear modelsGeneralized estimating equationMathematics
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