AIMS MathematicsAdding two more parameters for shaping provides a flexible way to make any basic bivariate distribution function (df) more adaptable. The extended bivariate dfs can better handle different kinds of bivariate data by including these parameters.
Osama Mohareb +6 more
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Positive Dependence of the Bivariate and Trivariate Absolute Normal, $t, \chi^2$, and $F$ Distributions [PDF]
, 1978 Mohamed Abdel‐Hameed, Allan R. Sampson
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Bivariate Distributions with Given Marginals
The Annals of Statistics, 1976 Bivariate distributions with minimum and maximum correlations for given marginal distributions are characterized. Such extremal distributions were first introduced by Hoeffding (1940) and Frechet (1951). Several proofs are outlined including ones based on rearrangement theorems. The effect of convolution on correlation is also studied.
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Modified Bivariate Poisson-Lindley Model: Properties and Applications in Soccer
International Journal of Computer Science in SportThis paper presents the bivariate Poisson-new XLindley distribution (BPNXLD), which may be used to represent dependent and over-dispersed countdata.
Haddari Allaeddine +2 more
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Tight upper and lower bounds for correlation of bivariate distribution arising in air pollution modeling. Technical report No. 5. Study on statistics and environmental factors in health [PDF]
, 1976 D. de Veaux
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Generación de tiempos de falla dependientes Weibull bivariados usando cópulas
Revista Colombiana de Estadística, 2008 La distribución Weibull bivariada es muy importante en confiabilidad y en análisis de supervivencia. La dependencia para este tipo de problemas ha venido cobrando gran importancia en años recientes.
MARIO CÉSAR JARAMILLO +3 more
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Revista Colombiana de Estadística, 2008 The bivariate Weibull distribution is very important in both reliability and survival analysis. The dependence for these kind of problems has been gaining great importance in recent years.
Jaramillo Mario César +3 more
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Cambanis-type Bivariate Uniform Distribution: Properties and Moment Estimation
Computational Journal of Mathematical and Statistical SciencesThe families of distributions are crucial in statistical modeling, offering a versatile foundation for a variety of applications. The development of bivariate distributions with specific marginal distributions and correlation coefficients is of ...
Rohan Dilip Koshti, Kirtee Kiran Kamalja
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Evaluation of four methods of DNA distribution data analysis based on bromodeoxyuridine/DNA bivariate data [PDF]
, 1988 Francis Lacombe +3 more
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Goodness-of-Fit Test for the Bivariate Negative Binomial Distribution
AxiomsWhen modeling real-world data, we face the challenge of determining which probability distribution best represents the data. To address this intricate problem, we rely on goodness-of-fit tests.
Francisco Novoa-Muñoz +1 more
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