Results 11 to 20 of about 141,845 (188)
New Bivariate Wrapped Distributions [PDF]
There are not many models for bivariate directional data. Here, we introduce more than ten new bivariate wrapped distributions. For each distribution, expressions are given for the means, covariances and five correlation coefficients.
Nadarajah, S., Zhang, Y.
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Central Regions for Bivariate Distributions
For a one-dimensional probability distribution, the classical concept of central region as a real interquantile interval arises in all applied sciences. We can find applications, for instance, with dispersion, skewness and detection of outliers.
Jose María Fernández-Ponce +1 more
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An important alternative distribution to the Weibull, generalized exponen- tial and gamma distributions that is used in survival analysis is the Nadarajah- Haghighi exponential distribution.
Yakubu Aliyu, Umar Usman
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A family of bivariate Pareto distributions
Pareto distributions have been extensively used in literature for modelling and analysis of income and lifetime data. In the present paper, we introduce a family of bivariate Pareto distributions using a generalized version of dullness property.
P. G. Sankaran +2 more
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BAMBI: An R Package for Fitting Bivariate Angular Mixture Models
Statistical analyses of directional or angular data have applications in a variety of fields, such as geology, meteorology and bioinformatics. There is substantial literature on descriptive and inferential techniques for univariate angular data, with the
Saptarshi Chakraborty, Samuel W. K. Wong
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Collective estimation of multiple bivariate density functions with application to angular-sampling-based protein loop modeling [PDF]
This article develops a method for simultaneous estimation of density functions for a collection of populations of protein backbone angle pairs using a data-driven, shared basis that is constructed by bivariate spline functions defined on a triangulation
Gao, Xin +4 more
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On bivariate geometric distribution
Characterizations of bivariate geometric distribution using univariate and bivariate geometric compounding are obtained. Autoregressive models with marginals as bivariate geometric distribution are developed.
K. Jayakumar, Davis Antony Mundassery
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Bivariate and Multivariate Weighted Kumaraswamy Distributions: Theory and Applications
Weighted distributions (univariate and bivariate) have received widespread attention over the last two decades because of their flexibility for analyzing skewed data.
Indranil Ghosh
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Description of the Joint Probability of Significant Wave Height and Mean Wave Period
The bivariate probability distribution of significant wave heights and mean wave periods has an indispensable guiding role in the implementation of offshore engineering, which has attracted great attention.
Mingwen Zhao, Xiaodong Deng, Jichao Wang
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Comparisons of Concordance in Additive Models [PDF]
In this note we compare bivariate additive models with respect to their Pearson correlation coecients, Kendall's concordance coecients, and Blomqvist medial correlation coefcients. The conditions that enable the comparisons involve variability stochastic
Bauerle +14 more
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