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showing 10 items of 336 documents

Gluten Induces Subtle Histological Changes in Duodenal Mucosa of Patients with Non-Coeliac Gluten Sensitivity : A Multicentre Study

2022

Background: Histological changes induced by gluten in the duodenal mucosa of patients with non-coeliac gluten sensitivity (NCGS) are poorly defined. \ud \ud \ud \ud Objectives: To evaluate the structural and inflammatory features of NCGS compared to controls and coeliac disease (CeD) with milder enteropathy (Marsh I-II). \ud \ud \ud \ud Methods: Well-oriented biopsies of 262 control cases with normal gastroscopy and histologic findings, 261 CeD, and 175 NCGS biopsies from 9 contributing countries were examined. Villus height (VH, in μm), crypt depth (CrD, in μm), villus-to-crypt ratios (VCR), IELs (intraepithelial lymphocytes/100 enterocytes), and other relevant histological, serologic, and…

Settore MED/12 - GastroenterologiaNutrition and DieteticsSettore MED/09 - Medicina InternaGlutensDuodenumnon-coeliac gluten sensitivityBiopsySettore MED/08 - Anatomia Patologica3121 Internal medicinedigestive systemhistologynormal mucosaCeliac DiseaseDiet Gluten-FreeHumansIntestinal Mucosanon-coeliac gluten sensitivity; histology; normal mucosa; coeliac diseasecoeliac disease; histology; non-coeliac gluten sensitivity; normal mucosacoeliac diseaseFood Science
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Glaucoma e pressione arteriosa sistemica

2008

L’autore descrive il ruolo controverso dell’ipertensione arteriosa nell’evoluzione del glaucoma. La progressione del glaucoma, infatti, sembra essere correlata alla riduzione delle velocità di flusso ematico a livello retro bulbare che è finemente regolato per adattarsi alle variazioni dei bisogni metabolici durante il cambiamento della funzione visiva e per compensare il variare delle pressioni di perfusione. Questa autoregolazione però è presente finché la pressione di perfusione si mantiene entro un range di 25-60 mmHg. Una pressione arteriosa bassa comporta una perdita di autoregolazione e ad un'ischemia della papilla ottica . L'ipotensione notturna,pertanto, rilevata durante il trattam…

Settore MED/30 - Malattie Apparato VisivoGlaucoma a tensione normale (GPN)pressione di perfusioneipertensione arteriosa
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Discrete Time Portfolio Selection with Lévy Processes

2007

This paper analyzes discrete time portfolio selection models with Lévy processes. We first implement portfolio models under the hypotheses the vector of log-returns follow or a multivariate Variance Gamma model or a Multivariate Normal Inverse Gaussian model or a Brownian Motion. In particular, we propose an ex-ante and an ex-post empirical comparisons by the point of view of different investors. Thus, we compare portfolio strategies considering different term structure scenarios and different distributional assumptions when unlimited short sales are allowed.

Settore SECS-S/06 - Metodi mat. dell'economia e Scienze Attuariali e Finanziarieterm structureexpected utilitySubordinated Lévy models; term structure; expected utility; portfolio strategiesportfolio strategiesMultivariate normal distributionSubordinated Lévy modelsVariance-gamma distributionInverse Gaussian distributionsymbols.namesakeSettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.Discrete time and continuous timesymbolsEconometricsPortfolioSubordinated Lévy models term structure expected utility portfolio strategiesPost-modern portfolio theoryPortfolio optimizationModern portfolio theoryMathematics
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A Comparison among Portfolio Selection Strategies with Subordinated Lévy Processes

2007

In this paper we describe portfolio selection models using Lévy processes. The contribution consists in comparing some portfolio selection strategies under different distributional assumptions. We first implement portfolio models under the hypothesis the log-returns follow a particular process with independent and stationary increments. Then we compare the ex-post final wealth of optimal portfolio selection models with subordinated Lévy processes when limited short sales and transaction costs are allowed.

Settore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.Portfolio theory Lévy processes Variance-Gamma distribution Normal Inverse Gaussian distribution
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The size of Simes’ global test for discrete test statistics

1999

Abstract To increase the power of the Bonferroni–Holm procedure several modified Bonferroni procedures have been proposed (for example, Hochberg, 1988. Biometrika 75, 800–802; Hommel, 1988. Biometrika 75, 383–386), which are based on Simes’ global test (Simes, 1986. Biometrika 73, 751–754). By several simulation studies which, in particular, considered multinormal test statistics, it has been suggested that the Simes test is a level α test. However, an exact proof exists for only few situations one of them assuming independence of test statistics. We studied the behaviour of Simes’ test for discrete test statistics. Due to discreteness one can expect more conservative decisions whereas depe…

Statistics and ProbabilityApplied MathematicsMultivariate normal distributionNominal levelExact testchemistry.chemical_compoundsymbols.namesakeBonferroni correctionchemistryStatisticsTest statisticsymbolsSign testSIMesStatistics Probability and UncertaintyMathematicsStatistical hypothesis testingJournal of Statistical Planning and Inference
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Response models for mixed binary and quantitative variables

1992

SUMMARY A number of special representations are considered for the joint distribution of qualitative, mostly binary, and quantitative variables. In addition to the conditional Gaussian models and to conditional Gaussian regression chain models some emphasis is placed on models derived from an underlying multivariate normal distribution and on models in which discrete probabilities are specified linearly in terms of unknown parameters. The possibilities for choosing between the models empirically are examined, as well as the testing of independence and conditional independence and the estimation of parameters. Often the testing of independence is exactly or nearly the same for a number of di…

Statistics and ProbabilityChain rule (probability)Applied MathematicsGeneral MathematicsMultivariate normal distributionConditional probability distributionAgricultural and Biological Sciences (miscellaneous)Discriminative modelConditional independenceJoint probability distributionStatisticsStatistics Probability and UncertaintyGeneral Agricultural and Biological SciencesConditional varianceIndependence (probability theory)MathematicsBiometrika
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Una solucion bayesiana a la Paradoja de Stein

1982

If we are interested in making inferences about the square norm of the mean in a multivariate normal model, the usual uniform prior for the mean is not sound, as revealed by Stein in his 1959 work. This paper studies in what sense this prior must be modified by using the maximization of missing information procedure (Bernardo, 1979)

Statistics and ProbabilityCombinatoricsNorm (mathematics)Multivariate normal distributionMaximizationStatistics Probability and UncertaintyPsychologyCartographyTrabajos de Estadistica Y de Investigacion Operativa
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The affine equivariant sign covariance matrix: asymptotic behavior and efficiencies

2003

We consider the affine equivariant sign covariance matrix (SCM) introduced by Visuri et al. (J. Statist. Plann. Inference 91 (2000) 557). The population SCM is shown to be proportional to the inverse of the regular covariance matrix. The eigenvectors and standardized eigenvalues of the covariance, matrix can thus be derived from the SCM. We also construct an estimate of the covariance and correlation matrix based on the SCM. The influence functions and limiting distributions of the SCM and its eigenvectors and eigenvalues are found. Limiting efficiencies are given in multivariate normal and t-distribution cases. The estimates are highly efficient in the multivariate normal case and perform …

Statistics and ProbabilityCovariance functionaffine equivarianceinfluence functionMultivariate normal distributionrobustnessComputer Science::Human-Computer InteractionEfficiencyestimatorsEstimation of covariance matricesScatter matrixStatisticsAffine equivarianceApplied mathematicsCMA-ESMultivariate signCovariance and correlation matricesRobustnessmultivariate medianMathematicsprincipal componentsInfluence functionNumerical AnalysisMultivariate medianCovariance matrixcovariance and correlation matricesdiscriminant-analysisCovarianceComputer Science::Otherdispersion matricesefficiencyLaw of total covariancemultivariate locationtestsStatistics Probability and Uncertaintyeigenvectors and eigenvaluesEigenvectors and eigenvaluesmultivariate signJournal of Multivariate Analysis
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Inference based on the affine invariant multivariate Mann–Whitney–Wilcoxon statistic

2003

A new affine invariant multivariate analogue of the two-sample Mann–Whitney–Wilcoxon test based on the Oja criterion function is introduced. The associated affine equivariant estimate of shift, the multivariate Hodges-Lehmann estimate, is also considered. Asymptotic theory is developed to provide approximations for null distribution as well as for a sequence of contiguous alternatives to consider limiting efficiencies of the test and estimate. The theory is illustrated by an example. Hettmansperger et al. [9] considered alternative slightly different affine invariant extensions also based on the Oja criterion. The methods proposed in this paper are computationally more intensive, but surpri…

Statistics and ProbabilityDiscrete mathematicsMultivariate statisticsWilcoxon signed-rank testNull distributionMatrix t-distributionApplied mathematicsMultivariate normal distributionAffine transformationStatistics Probability and UncertaintyMathematicsNormal-Wishart distributionMultivariate stable distributionJournal of Nonparametric Statistics
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Estimates of Regression Coefficients Based on the Sign Covariance Matrix

2002

SummaryA new estimator of the regression parameters is introduced in a multivariate multiple-regression model in which both the vector of explanatory variables and the vector of response variables are assumed to be random. The affine equivariant estimate matrix is constructed using the sign covariance matrix (SCM) where the sign concept is based on Oja's criterion function. The influence function and asymptotic theory are developed to consider robustness and limiting efficiencies of the SCM regression estimate. The estimate is shown to be consistent with a limiting multinormal distribution. The influence function, as a function of the length of the contamination vector, is shown to be linea…

Statistics and ProbabilityEstimation of covariance matricesCovariance matrixLinear regressionStatisticsRegression analysisMultivariate normal distributionStatistics Probability and UncertaintyCovarianceAsymptotic theory (statistics)Least squaresMathematicsJournal of the Royal Statistical Society Series B: Statistical Methodology
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