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Relevant bibliographies by topics / RV coefficient

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Academic literature on the topic 'RV coefficient'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 February 2022

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Journal articles on the topic "RV coefficient"

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Josse, J., J. Pagès, and F. Husson. "Testing the significance of the RV coefficient." Computational Statistics & Data Analysis 53, no. 1 (September 2008): 82–91. http://dx.doi.org/10.1016/j.csda.2008.06.012.

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Klok, Frederikus A., Noortje van der Bijl, Albert de Roos, Lucia J. M. Kroft, Menno V. Huisman, and Sharif M. Pasha. "NT-pro-BNP levels in patients with acute pulmonary embolism are correlated to right but not left ventricular volume and function." Thrombosis and Haemostasis 108, no. 08 (2012): 367–72. http://dx.doi.org/10.1160/th11-12-0901.

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SummaryN-terminal pro-Brain Natriuretic Peptide (NT-pro-BNP) is primarily secreted by left ventricular (LV) stretch and wall tension. Notably, NT-pro-BNP is a prognostic marker in acute pulmonary embolism (PE), which primarily stresses the right ventricle (RV). We sought to evaluate the relative contribution of the RV to NT-pro-BNP levels during PE. A posthoc analysis of an observational prospective outcome study in 113 consecutive patients with computed tomography (CT)-proven PE and 226 patients in whom PE was clinically suspected but ruled out by CT. In all patients RV and LV function was established by assessing ECG-triggered-CT measured ventricular end-diastolic-volumes and ejection fraction (EF). NT-pro-BNP was assessed in all patients. The correlation between RV and LV end-diastolic-volumes and systolic function was evaluated by multiple linear regression corrected for known con-founders. In the PE cohort increased RVEF (β-coefficient (95% confidence interval [CI]) –0.044 (± –0.011); p<0.001) and higher RV enddiastolic-volume (β-coefficient 0.005 (± 0.001); p<0.001) were significantly correlated to NT-pro-BNP, while no correlation was found with LVEF ( β-coefficient 0.005 (± 0.010); p=0.587) and LV end-diastolic-volume (β-coefficient –0.003 (± 0.002); p=0.074). In control patients without PE we found a strong correlation between NT-pro-BNP levels and LVEF ( β-coefficient –0.027 (± –0.006); p<0.001) although not LV enddiastolic-volume (β-coefficient 0.001 (± 0.001); p=0.418). RVEF (β-co-efficient –0.002 (± –0.006); p=0.802) and RV end-diastolic-volume (β-coefficient <0.001 (± 0.001); p=0.730) were not correlated in patients without PE. In PE patients, lower RVEF and higher RV end-diastolic-volume were significantly correlated to NT-pro-BNP levels as compared to control patients without PE. These observations provide patho-physiological ground for the well-known prognostic value of NT-pro-BNP in acute PE.

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Smilde, A. K., H. A. L. Kiers, S. Bijlsma, C. M. Rubingh, and M. J. van Erk. "Matrix correlations for high-dimensional data: the modified RV-coefficient." Bioinformatics 25, no. 3 (December 10, 2008): 401–5. http://dx.doi.org/10.1093/bioinformatics/btn634.

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Rauf Ahmad, M. "A significance test of the RV coefficient in high dimensions." Computational Statistics & Data Analysis 131 (March 2019): 116–30. http://dx.doi.org/10.1016/j.csda.2018.10.008.

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Draheim, Christopher C., Bruce L. Bakke, Robert C. Serfass, Paul V. Snyder, and Ava J. Walker. "Underwater Weighing Familiarization Program for Adults with Prader-Willi Syndrome." Adapted Physical Activity Quarterly 19, no. 2 (April 2002): 188–98. http://dx.doi.org/10.1123/apaq.19.2.188.

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The purpose of the project was to evaluate an underwater weighing (UWW) and residual lung volume (RV) familiarization program developed for adults with Prader-Willi syndrome (PWS). UWW was conducted on 15 adults (10 men, 5 women) with PWS following a UWW familiarization program. Repeated measures ANOVA revealed no difference in percent body fat derived from UWW over the four sessions, F(3, 27) = 0.80, p = .505, with an intraclass reliability coefficient of R = .93. There was, however, a significant difference in RV, F(3, 27) = 5.25, p = .006, with an intraclass reliability coefficient of R = .65. The familiarization program is recommended for implementation prior to measuring percent body fat via UWW. However, predicting the RV may be an easier and more consistent alternative to measuring the RV in adults with PWS.

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Oakland, Hannah, Phillip Joseph, Robert Naeije, Ahmed Elassal, Marjorie Cullinan, Paul M. Heerdt, and Inderjit Singh. "Arterial load and right ventricular-vascular coupling in pulmonary hypertension." Journal of Applied Physiology 131, no. 1 (July 1, 2021): 424–33. http://dx.doi.org/10.1152/japplphysiol.00204.2021.

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Pulmonary vascular impedance (PVZ) represents the most comprehensive measure of right ventricle (RV) afterload; however, measurement of this variable is complex. We demonstrate that characteristic impedance ( Zc) and a wave reflection coefficient, λ, can be derived from RV pressure waveform analysis. In addition, RV dysfunction in left heart disease is independent of its afterload. The current study provides a platform for future studies to examine the pharmacotherapeutic effects and prognosis of different measures of RV afterload.

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Lim, San Y., Rohayu Mohd Salleh, and Norhaidah Mohd Asrah. "Behaviours of Bursa Malaysia: a Multidimensional Network Analysis." International Journal of Engineering & Technology 7, no. 4.30 (November 30, 2018): 229. http://dx.doi.org/10.14419/ijet.v7i4.30.22126.

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In current practice, the similarities between two or more univariate time series of stocks are determined by using the Pearson correlation coefficient (PCC). However, the economic information might be misleading if the analysis applies only the univariate time series of stock price, as each stock is denoted by four types of prices. Therefore, multidimensional of stocks are taken into account in this paper. The similarities between two or more multi-dimensional of stocks are quantified by using Random Vector (RV) coefficient. Additionally, an algorithm is proposed due to the computational of RV coefficient is tedious and time-consuming when a large number of stocks are included. In this paper, the Malaysian stock network analysis in univariate and multivariate setting are conducted and analysed by using the PCC, RV coefficient, forest of all possible MSTs and centrality measures. In summary, there is some important economic information could not be brought out by univariate network analysis alone.

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PIAGGI, PAOLO, DANILO MENICUCCI, CLAUDIO GENTILI, GIACOMO HANDJARAS, ANGELO GEMIGNANI, and ALBERTO LANDI. "ADAPTIVE FILTERING AND RANDOM VARIABLES COEFFICIENT FOR ANALYZING FUNCTIONAL MAGNETIC RESONANCE IMAGING DATA." International Journal of Neural Systems 23, no. 03 (April 29, 2013): 1350011. http://dx.doi.org/10.1142/s0129065713500111.

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Functional magnetic resonance imaging (fMRI) is used to study brain functional connectivity (FC) after filtering the physiological noise (PN). Herein, we employ: adaptive filtering for removing nonstationary PN; random variables (RV) coefficient for FC analysis. Comparisons with standard techniques were performed by quantifying PN filtering and FC in neural vs. non-neural regions. As a result, adaptive filtering plus RV coefficient showed a greater suppression of PN and higher connectivity in neural regions, representing a novel effective approach to analyze fMRI data.

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Kurkin, Evgenii Igorevich, Vladislava Olegovna Chertykovtseva, and Yaroslav Vyacheslavovich Zakhvatkin. "Processing a Brookfield Rotational Viscometer Measurement Results in the MATLAB." Key Engineering Materials 834 (March 2020): 82–89. http://dx.doi.org/10.4028/www.scientific.net/kem.834.82.

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The Brookfield_to_MATLAB and ViscosityApproximation codes for processing of experiments results for determination of viscosity on a rotational Brookfield DV3T viscometer is developed in the MATLAB. The codes allow to carry out automatic capture data, to calculate the shear rate for standard spindles RV-1 ... RV-7, to sort the measurement results on temperatures, to combine the experimental data and to determine the coefficients of the Andrade type power-law model. Paper describes experiment results on determination of viscosity of the epoxy binder reinforced by short carbon fibers. The coefficients of the viscosity model are determined by the linear regression coefficients. The obtained determination coefficient shows a good agreement of the model with the experimental data. The results are used for study various contents of a mass fraction of fibers: 0%, 5%, 10%, and 15%.

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Schlich, Pascal, and Elisabeth Guichard. "Selection and classification of volatile compounds of apricot using the RV coefficient." Journal of Agricultural and Food Chemistry 37, no. 1 (January 1989): 142–50. http://dx.doi.org/10.1021/jf00085a034.

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Dissertations / Theses on the topic "RV coefficient"

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Crettaz, von Roten Fabienne Roten Fabienne Crettaz von. "Données manquantes en statistique multivariée : une nouvelle méthode basée sur le coefficient RV /." [S.l.] : [s.n.], 1993. http://library.epfl.ch/theses/?display=detail&nr=1111.

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Paler, Mary Elvi Aspiras. "On Modern Measures and Tests of Multivariate Independence." Bowling Green State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1447628176.

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Mériaux, Sébastien. "Diagnostique d'homogénéité et inférence non-paramétrique pour l'analyse de groupe en imagerie par résonance magnétique fonctionnelle." Phd thesis, Université Paris Sud - Paris XI, 2007. http://tel.archives-ouvertes.fr/tel-00371051.

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L'un des objectifs principaux de l'imagerie par résonance magnétique fonctionnelle (IRMf) est la localisation in vivo et de manière non invasive des zones cérébrales associées à certaines fonctions cognitives. Le cerveau présentant une très grande variabilité anatomo-fonctionnelle inter-individuelle, les études d'IRMf incluent généralement plusieurs sujets et une analyse de groupe permet de résumer les résultats intra-sujets en une carte d'activation du groupe représentative de la population d'intérêt. L'analyse de groupe « standard » repose sur une hypothèse forte d'homogénéité des effets estimés à travers les sujets. Dans un premier temps, nous étudions la validité de cette hypothèse par une méthode multivariée diagnostique et un test de normalité univarié (le test de Grubbs). L'application de ces méthodes sur une vingtaine de jeux de données révèle la présence fréquente de données atypiques qui peuvent invalider l'hypothèse d'homogénéité. Nous proposons alors d'utiliser des statistiques de décision robustes calibrées par permutations afin d'améliorer la spécificité et la sensibilité des tests statistiques pour l'analyse de groupe. Puis nous introduisons de nouvelles statistiques de décision à effets mixtes fondées sur le rapport de vraisemblances maximales, permettant de pondérer les sujets en fonction de l'incertitude sur l'estimation de leurs effets. Nous confirmons sur des jeux de données que ces nouvelles méthodes d'inférence permettent un gain en sensibilité significatif, et nous fournissons l'ensemble des outils développés lors de cette thèse à la communauté de neuro-imagerie dans le logiciel DISTANCE.

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Sylvanus, Udoette Ubong. "Imputation techniques for improving survey outcomes in Nigeria: the case of the business expectation survey (BES) of the central bank of Nigeria." Master's thesis, 2017. http://hdl.handle.net/10362/21449.

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Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and Management
Over the years, the issue of respondents’ apathy, missing data and item non-response in particular, has remained a major concern with regards to analyses of survey-based studies undertaken by the Central Bank of Nigeria (CBN). Researchers and policy analysis within the CBN has been plagued by the growing quantum of item non-response. This dissertation will attempt to empirically analyze and recommend the best imputation technique for item nonresponse in surveys undertaken by the Bank. The case in point will be the Business Expectations Survey (BES) conducted quarterly by the CBN. It will take a specific items/questions in the BES for which there are complete responses and undertake a multiple correspondence analysis (MCA) of the responses. Using a complete randomize scheme (table of random numbers) it will exclude 15 – 35 percent of responses as if they were item nonresponse and proceed to replace them through various imputation technique. After which the MCA will be repeated for each of the derived data sets and the result compared with that of the original data sets. The matrices of principal coordinates are compared using the RV coefficient (Escoufier, 1973), a measure of similarity between two datasets such that a value of 1 indicates complete similarity and 0 indicates complete dissimilarity. This coefficient is a generalization of the square of Spearman’s correlation coefficient. The result of the RV coefficient analysis and well as the analysis of some selected summary statistics will be used to recommend the best imputation technique for such item non-responses in future surveys.

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Guetsop, Nangue Aurélien. "Tests de permutation d’indépendance en analyse multivariée." Thèse, 2016. http://hdl.handle.net/1866/18476.

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Cette thèse est rédigée par articles. Les articles sont rédigés en anglais et le reste de la thèse est rédigée en français.
Le travail établit une équivalence en termes de puissance entre les tests basés sur la alpha-distance de covariance et sur le critère d'indépendance de Hilbert-Schmidt (HSIC) avec fonction caractéristique de distribution de probabilité stable d'indice alpha avec paramètre d'échelle suffisamment petit. Des simulations en grandes dimensions montrent la supériorité des tests de distance de covariance et des tests HSIC par rapport à certains tests utilisant les copules. Des simulations montrent également que la distribution de Pearson de type III, très utile et moins connue, approche la distribution exacte de permutation des tests et donne des erreurs de type I précises. Une nouvelle méthode de sélection adaptative des paramètres d'échelle pour les tests HSIC est proposée. Trois simulations, dont deux sont empruntées de l'apprentissage automatique, montrent que la nouvelle méthode de sélection améliore la puissance des tests HSIC. Le problème de tests d'indépendance entre deux vecteurs est généralisé au problème de tests d'indépendance mutuelle entre plusieurs vecteurs. Le travail traite aussi d'un problème très proche à savoir, le test d'indépendance sérielle d'une suite multidimensionnelle stationnaire. La décomposition de Möbius des fonctions caractéristiques est utilisée pour caractériser l'indépendance. Des tests généralisés basés sur le critère d'indépendance de Hilbert-Schmidt et sur la distance de covariance en sont obtenus. Une équivalence est également établie entre le test basé sur la distance de covariance et le test HSIC de noyau caractéristique d'une distribution stable avec des paramètres d'échelle suffisamment petits. La convergence faible du test HSIC est obtenue. Un calcul rapide et précis des valeurs-p des tests développés utilise une distribution de Pearson de type III comme approximation de la distribution exacte des tests. Un résultat fascinant est l'obtention des trois premiers moments exacts de la distribution de permutation des statistiques de dépendance. Une méthodologie similaire a été développée pour le test d'indépendance sérielle d'une suite. Des applications à des données réelles environnementales et financières sont effectuées.
The main result establishes the equivalence in terms of power between the alpha-distance covariance test and the Hilbert-Schmidt independence criterion (HSIC) test with the characteristic kernel of a stable probability distribution of index alpha with sufficiently small scale parameters. Large-scale simulations reveal the superiority of these two tests over other tests based on the empirical independence copula process. They also establish the usefulness of the lesser known Pearson type III approximation to the exact permutation distribution. This approximation yields tests with more accurate type I error rates than the gamma approximation usually used for HSIC, especially when dimensions of the two vectors are large. A new method for scale parameter selection in HSIC tests is proposed which improves power performance in three simulations, two of which are from machine learning. The problem of testing mutual independence between many random vectors is addressed. The closely related problem of testing serial independence of a multivariate stationary sequence is also considered. The Möbius transformation of characteristic functions is used to characterize independence. A generalization to p vectors of the alpha -distance covariance test and the Hilbert-Schmidt independence criterion (HSIC) test with the characteristic kernel of a stable probability distributionof index alpha is obtained. It is shown that an HSIC test with sufficiently small scale parameters is equivalent to an alpha -distance covariance test. Weak convergence of the HSIC test is established. A very fast and accurate computation of p-values uses the Pearson type III approximation which successfully approaches the exact permutation distribution of the tests. This approximation relies on the exact first three moments of the permutation distribution of any test which can be expressed as the sum of all elements of a componentwise product of p doubly-centered matrices. The alpha -distance covariance test and the HSIC test are both of this form. A new selection method is proposed for the scale parameter of the characteristic kernel of the HSIC test. It is shown in a simulation that this adaptive HSIC test has higher power than the alpha-distance covariance test when data are generated from a Student copula. Applications are given to environmental and financial data.

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Book chapters on the topic "RV coefficient"

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Brock, Fred V., and Scott J. Richardson. "Hygrometry." In Meteorological Measurement Systems. Oxford University Press, 2001. http://dx.doi.org/10.1093/oso/9780195134513.003.0007.

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The objective of atmospheric humidity measurements is to determine the amount of water vapor present in the atmosphere by weight, by volume, by partial pressure, or by a fraction (percentage) of the saturation (equilibrium) vapor pressure with respect to a plane surface of pure water. The measurement of atmospheric humidity in the field has been and continues to be troublesome. It is especially difficult for automatic weather stations where low cost, low power consumption, and reliability are common constraints. Pure water vapor in equilibrium with a plane surface of pure water exerts a pressure designated e's. This pressure is a function of the temperature of the vapor and liquid phases and can be obtained by integration of the Clausius-Clapeyron equation, assuming linear dependence of the latent heat of vaporization on temperature, L = L0(1+∝ (T-T0)], where T0 = 273.15K, L0 = 2.5008 x 106Jkg-1, the latent heat of water vapor at T0, Rv = 461.51Jkg-1K-1, the gas constant for water vapor, e's0 = 611.21 Pa, the equilibrium water vapor pressure at T = T0, and ∝ = - 9.477 x 10-4 K-1 = average rate of change coefficient for the latent heat of water vapor with respect to temperature. Since water vapor is not a perfect gas, the above equation is not an exact fit. The vapor pressure as a function of temperature has been determined by numerous experiments.

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Conference papers on the topic "RV coefficient"

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Lee, Gan Siew, and Maman A. Djauhari. "Multidimensional stock network analysis: An Escoufier's RV coefficient approach." In INTERNATIONAL CONFERENCE ON MATHEMATICAL SCIENCES AND STATISTICS 2013 (ICMSS2013): Proceedings of the International Conference on Mathematical Sciences and Statistics 2013. AIP, 2013. http://dx.doi.org/10.1063/1.4823975.

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Zhang, Hui, Jie Tian, Jun Li, and Jizheng Zhao. "RV-coefficient and its significance test in mapping brain functional connectivity." In SPIE Medical Imaging, edited by Xiaoping P. Hu and Anne V. Clough. SPIE, 2009. http://dx.doi.org/10.1117/12.811369.

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Suhila, V. M., and Binsu C. Kovoor. "Optimized hybrid approach for topic search using log likelihood and RV coefficient." In 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS). IEEE, 2017. http://dx.doi.org/10.1109/icecds.2017.8390062.

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Bhatia, Ribhu, Sambit Supriya Dash, and Vinayak Malhotra. "Enclosure Phenomenon in Varying Forced Flow Convection." In ASME 2019 Gas Turbine India Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gtindia2019-2656.

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Abstract Systematic experimentation was carried out on forced convection heat transfer apparatus under varying non-linear flow conditions to understand the energy transfer as heat, with the purpose of enhancing performance of numerous engineering applications. Plate orientations, types of enclosures (solid, meshed, perforated), flow velocity variations etc. are taken as governing parameters to effect convective heat transfer phenomenon which is perceived as deviations in value of heat transfer coefficient. RV zonal system is utilized to simplify the fundamental understanding of heat transfer coefficient variation with surface orientation under varying flow field. The objectives of this work are as follows: 1) To establish relative effectiveness of forced convective heat transfer under varying flow field. 2) To investigate the implications of varying shapes and sizes of perforations on confined forced convective heat transfer. To understand the controlling mechanism and role of key controlling parameters.

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