Results 61 to 70 of about 219,896 (196)
This bachelor thesis provides an introduction to multivariate statistics, which is the analysis of data with multiple variables using statistical methods.
Wighus, Stian Hammerseth
core
A conditional Bayesian approach for testing independence in two-way contingency tables
Bayesian methods for exact small-sample analysis with categorical data in contingency tables are considered. Point null hypotheses versus two-sided hypothesis are tested concerning log odds ratios in these tables with fixed row margins. The conditional
Z. SABERI, M. GANJALI
doaj
Many researchers and authors have studied the distributions of the condition numbers of real Gaussian matrices, which appear in many fields of pure and applied sciences, such as, probability, statistics, multivariate statistics, linear algebra, operator ...
Shakil M., Ahsanullah M.
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The study of the soil fertility spatial variation has grown in importance, in discussions on agricultural management, once the uniform approach of cultivated areas provides inconsistent results, capable of affecting the crops yield. By using multivariate
Samuel de Assis Silva +1 more
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A MULTIVARIATE WEIBULL DISTRIBUTION
A multivariate survival function of Weibull Distribution is developed by expanding the theorem by Lu and Bhattacharyya. From the survival function, the probability density function, the cumulative probability function, the determinant of the Jacobian ...
Wen, Miin-Jye, Lee, Cheng
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Multivariate Statistics and Probability Essays in Memory of Paruchuri R. Krishnaiah
Multivariate Statistics and Probability: Essays in Memory of Paruchuri R. Krishnaiah is a collection of essays on multivariate statistics and probability in memory of Paruchuri R.
Rao, C. R., Rao, M. M.
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On Describing Multivariate Skewness: A Directional Approach [PDF]
Most multivariate measures of skewness in the literature measure the overall skewness of a distribution. While these measures are perfectly adequate for testing the hypothesis of distributional symmetry, their relevance for describing skewed ...
J. T. A. S. Ferreira, M. F. J. Steel
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A multivariate Kolmogorov-Smornov test of goodnes of fit [PDF]
This paper presents a distribution free multivariate Kolmogorov-Smirnov goodıness of fit test. The test uses an statistic which is built using Rosenblatt's transformation and an algorithm is developed to compute it in the bivariate case.
Justel, Ana +3 more
core
A New Nonparametric Test for Two Sample Multivariate Location Problem with Application to Astronomy
This paper provides a nonparametric test for the identity of two multivariate continuous distribution functions when they differ in locations. The test uses Wilcoxon rank-sum statistics on distances between observations for each of the components and is ...
Soumita Modak, Uttam Bandyopadhyay
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Omnibus Tests for Multivariate Normality of Observations and Residuals [PDF]
This paper provides omnibus tests for multivariate normality of both observations and residuals. They are derived by considering as the alternatives to the multivariate normal a class of maximum-entropy distributions studied elsewhere by the author.
Urzúa, Carlos M.
core

