Results 61 to 70 of about 337,913 (190)
Bivariate Income Distributions for AssessingInequality and Poverty Under Dependent Samples [PDF]
As indicators of social welfare, the incidence of inequality and poverty is of ongoing concern to policy makers and researchers alike. Of particular interest are the changes in inequality and poverty over time, which are typically assessed through the ...
Andrea Vinh +2 more
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STUDI PERBANDINGAN ANTARA ALGORITMA BIVARIATE MARGINAL DISTRIBUTION DENGAN ALGORITMA GENETIKA
Jurnal Informatika, 2006 Bivariate Marginal Distribution Algorithm is extended from Estimation of Distribution Algorithm. This heuristic algorithm proposes the new approach for recombination of generate new individual that without crossover and mutation process such as genetic ...
Chastine Fatichah +2 more
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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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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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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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Dependency of risks and stop-loss order. [PDF]
The correlation order, which is defined as a partial order between bivariate distributions with equal marginals, is shown to be a helpfull tool for deriving results concerning the riskiness of portfolios with pairwise dependencies. Given the distribution
Dhaene, Jan, Goovaerts, Marc
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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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MathematicsThis paper introduces a novel bivariate distribution, referred to as the Bivariate Burr XII Inverse Weibull (BBXII-IW) distribution, constructed via the Marshall–Olkin approach from the univariate Burr XII Inverse Weibull (BXII-IW) distribution.
Ammar M. Sarhan +3 more
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Generalized bivariate Kummer-beta distribution with marginals defined on the unit interval.
PLoS ONEIn this paper, a generalized bivariate Kummer-beta distribution is proposed. The name derives from the fact that its particular cases include univariate Kummer-beta distributions.
Sina Shabgard +4 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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