• We used multivariate logistic regression to identify associations between participants' characteristics and advanced neoplasia in a primary (or derivation) data set, and we confirmed the associations in a secondary (or validation) data set. (nih.gov)
  • For multivariate analysis, subjects with caries experience of zero were compared with those with caries experience greater than zero using logistic regression. (nih.gov)
  • Topics covered will include the role of statistics in business decisions, organization of data, frequency distributions, probability, normal and sampling distributions, hypothesis tests, linear regression and an introduction to time series, quality control and operations research. (uoguelph.ca)
  • We provide a new asymptotic distribution theory for standard methods such as regression, correlation analysis, and covariance. (econometricsociety.org)
  • Provides high-performance procedures for loss modeling, count data regression, compound distribution, Copula simulation, panel regression, and censored and truncated regression models. (sas.com)
  • Associations among factors were assessed through correlation analysis, and binary logistic regression was done to predict childhood acute respiratory infections. (hindawi.com)
  • Variables with - value less than 0.25 in bivariate regression were the candidate for the final multivariate logistic regression. (hindawi.com)
  • Bootstrap procedures within regression analysis, k-nearest neighbour classification. (up.ac.za)
  • In multivariate linear regression models, mRNA expression of AdipoR1, but not AdipoR2, was a determinant of first-phase insulin secretion independent of insulin sensitivity and body fat. (diabetesjournals.org)
  • This distribution theory unifies and generalizes previously known results, including those for the standard F statistic in linear regression, for Hotelling's T 2 test and for Hotelling's generalized T -2 test. (yale.edu)
  • We performed descriptive and multivariate logistic and multinomial regression analyses. (cdc.gov)
  • analysis of variance (ANOVA) · regression models: simple linear regression, multivariate linear regression and logistic regression. (lu.se)
  • Other variables, such as socioeconomic levels, oral hygiene habits and dietary patterns were part of the bivariate analysis and multiple regression models. (bvsalud.org)
  • Next, we conducted a sex-specific analysis for obesity and its associated factors using backward elimination multivariate logistic regression models. (cdc.gov)
  • It is a generalization to random vectors of the Student's t-distribution, which is a distribution applicable to univariate random variables. (wikipedia.org)
  • After all, the univariate normal distribution has a specific form of density and a specific characteristic function, both of which are mathematically valid characterisations of any probability distribution. (wikibooks.org)
  • distribution, both of which are very closely related to the univariate normal distribution. (wikibooks.org)
  • Univariate and multivariate analysis. (edu.gh)
  • Khatri, 1964), we derive using the techniques of A. T. James (zonal polynomials), the non-null distribution of one version when (i) one of the two sets of variables is fixed, i.e., multivariate analysis of variance and covariance case (MANOVA), and when (ii) both sets of variables are random variables, i.e., canonical correlations case. (projecteuclid.org)
  • introduction to analysis of variance. (uoguelph.ca)
  • Study of the mathematical basis of statistical analysis with emphasis given to sampling, distributions, testing hypotheses, interval estimation, and multivariate analysis. (uttyler.edu)
  • Fractional matrix operator methods are introduced as a new tool of distribution theory for use in multivariate analysis and econometrics. (yale.edu)
  • Multivariate logistic regressions were used to calculate odds ratios measuring the association between insufficient sleep, poor mental health, and suicidality. (cdc.gov)
  • Our analysis allows us to study how high frequency correlations, regressions, and covariances change through time. (econometricsociety.org)
  • Mixtures of distributions and regressions, frequentist and Bayes estimation. (up.ac.za)
  • 1397). 'Multivariate and geostatistical analysis of spatial distribution and potential sources of heavy metals in surface waters', فیزیولوژی و بیوتکنولوژی آبزیان , 17(1), pp. 23-41. (ac.ir)
  • Spatial distribution and soil characteristics of the vegetation associ" by MONIER ABD EL-GHANI, ASHRAF SOLIMAN et al. (tubitak.gov.tr)
  • In statistics, the multivariate t-distribution (or multivariate Student distribution) is a multivariate probability distribution. (wikipedia.org)
  • While the case of a random matrix could be treated within this structure, the matrix t-distribution is distinct and makes particular use of the matrix structure. (wikipedia.org)
  • Thus, many of the results that are true for multivariate normal random vector will also be true for the vectorisation of matrix variate normal random variable. (wikibooks.org)
  • M. S. Srivastava "On the Distribution of a Multiple Correlation Matrix: Non-Central Multivariate Beta Distributions," The Annals of Mathematical Statistics, Ann. (projecteuclid.org)
  • A floristic data matrix (59 stands and 137 species) was subjected to classification by 2-way indicator species analysis (TWINSPAN). (tubitak.gov.tr)
  • In this paper, we generalize this expectation formula to the singular and non-singular multivariate Dirichlet distributions as follows. (psu.edu)
  • The singular normal distribution. (up.ac.za)
  • This paper analyses multivariate high frequency financial data using realized covariation. (econometricsociety.org)
  • There are in fact many candidates for the multivariate generalization of Student's t-distribution. (wikipedia.org)
  • The parametric models are fitted, using numerical maximum likelihood, to some environmental multivariate extreme data sets consisting of extreme concentrations of a pollutant at several monitoring stations in a region. (ubc.ca)
  • Enables time series cross-sectional analysis and spatial econometric models for cross-sectional data where observations are spatially referenced or georeferenced. (sas.com)
  • We employ a general Monte Carlo method to test composite hypotheses of goodness-of-fit for several popular multivariate models that can accommodate both asymmetry and heavy tails. (edu.sa)
  • When Mattiussi's team conducts its analyses, multiple input parameters affect output, and output covers a wide range of values, namely, the typical concentrations of each analyte or substance in the blood being tested. (jmp.com)
  • I) Analytical biochemistry and data analysis: Development of instrumental methods (acoustical and vision-based) for determination of chemical and physical quality parameters. (dtu.dk)
  • The only requirements of our tests are that we should be able to draw samples from the distribution under test and possess a reasonable method of estimation of the unknown distributional parameters. (edu.sa)
  • Suppose X 1 , …, X q ∈Ω r are random matrices such that (X 1 , …, X q ) follows a multivariate Dirichlet distribution with parameters p 1 , …, p q . (psu.edu)
  • Although there does exist a form of density for the Wishart distribution, it is not necessary to prove most of the results we will require. (wikibooks.org)
  • The Wishart distribution. (up.ac.za)
  • Earlier work by the author on this operational calculus is reviewed and to illustrate the use of these methods we give an exact distribution theory for a general class of tests in the multivariate linear model. (yale.edu)
  • Thus, the results of the paper provide a meaningful unification of conventional asymptotics, higher order asymptotic expansions and exact finite sample distribution theory in this context. (yale.edu)
  • Scholars@Duke publication: The independent effects of obesity and body fat distribution on blood pressure in black adults: the Pitt County study. (duke.edu)
  • Some multivariate nonnormal data analysis techniques are proposed to aid in the likelihood analysis. (ubc.ca)
  • Multivariate data analysis in fisheries research. (dtu.dk)
  • Discriminant analysis and classification. (up.ac.za)
  • Karling, M , Genton, MG & Meintanis, SG 2023, ' Goodness-of-fit tests for multivariate skewed distributions based on the characteristic function ', STATISTICS AND COMPUTING , vol. 33, no. 5. (edu.sa)
  • In addition, PLSR analysis was applied to correlate relaxometry data to trace element concentrations with good success. (usgs.gov)
  • Monte Carlo studies are conducted to investigate the performance of the test criteria in finite samples for several families of skewed distributions. (edu.sa)
  • Samples from multivariate normal populations. (up.ac.za)
  • The constructive definition of a multivariate t-distribution simultaneously serves as a sampling algorithm: Generate u ∼ χ ν 2 {\displaystyle u\sim \chi _{\nu }^{2}} and y ∼ N ( 0 , Σ ) {\displaystyle \mathbf {y} \sim N(\mathbf {0} ,{\boldsymbol {\Sigma }})} , independently. (wikipedia.org)
  • The results of this work show that NMR relaxometry measurements using the solid-echo approach produce T 1 -T 2 peak distributions that correlate well with geochemical properties of raw and pyrolyzed oil shales. (usgs.gov)
  • confidence interval, t-distribution, hypotheses testing and p-value. (lu.se)
  • RESULT: 114 cases were evaluated by ROC (Receiver operating characteristic) analysis in the breast-conserving surgery (BCS) and mastectomy groups. (bvsalud.org)
  • Geostatistical analyses were carried out to conduct the distribution characteristics and the sources of pollution. (ac.ir)
  • These methods only achieve good results when the target data have the same distribution tendency in all orientations [ 19 ]. (hindawi.com)
  • Our derivation utilizes the framework of symmetric cones, so that our results are valid for multivariate Dirichlet distributions on all symmetric cones. (psu.edu)
  • In multivariate modelling, whether we adjusted for or considered organisational stressors as coincident exposures, results showed that pregnant workers exposed to biomechanical stressors had increased employment withdrawal compared to the unexposed. (cdc.gov)
  • JMP enables Siemens Healthineers to conduct complex analyses and visualizations, giving the company the insights it needs to optimize all aspects of product development and operation, from raw materials to performance in the field. (jmp.com)
  • In the special case ν = 1 {\displaystyle \nu =1} , the distribution is a multivariate Cauchy distribution. (wikipedia.org)
  • The multivariate normal is just an extension of the normal distribution to the multivariate case. (wikibooks.org)
  • CONCLUSION: Various cutoff points in left breast RT can be used to predict whether RT plans will meet QUANTEC (Quantitative Analysis of Normal Tissue Effects in the Clinic) heart dose limits. (bvsalud.org)
  • Content analysis and latent class analysis (LCA) of 497 suicide-related print media reports published in Austria between 1 January and 30 June 2005. (cambridge.org)
  • Gender distribution was 52 (56%) females and 41 (44%) males. (bvsalud.org)
  • The one global factor was the best structure through Exploratory Factor Analysis, while through Confirmatory Factor Analysis, it was the bifactor model, with six specific factors and one global factor. (bvsalud.org)
  • What would be an analogue of this for the multivariate case? (wikibooks.org)
  • Simple slope analysis was used to probe significant interaction terms. (cdc.gov)
  • Model, forecast and simulate processes with econometric and time series analysis. (sas.com)
  • Our econometric capabilities, time series analysis and time series forecasting techniques can help you understand those factors and improve your strategic and tactical planning. (sas.com)
  • Use JMP® statistical software for Quality by Design and design of experiments to improve materials testing and analysis, optimize product- and process-related experiments and develop machine-learning applications for better overall product performance. (jmp.com)