Results 41 to 50 of about 141,845 (188)
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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Characterizations of some bivariate models using reciprocal coordinate subtangents
Statistica, 2014 In the present paper, we consider the bivariate version of reciprocal coordinate subtangent (RCST) and study its usefulness in characterizing some important bivariate models.
Sreenarayanapurath Madhavan Sunoj +2 more
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Multiplier phenomenology in random multiplicative cascade processes
, 1998 We demonstrate that the correlations observed in conditioned multiplier distributions of the energy dissipation in fully developed turbulence can be understood as an unavoidable artefact of the observation procedure.
Greiner, Martin +2 more
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A note on "Generalized bivariate copulas and their properties" [PDF]
Sahand Communications in Mathematical Analysis, 2015 In 2004, Rodr'{i}guez-Lallena and '{U}beda-Flores have introduced a class of bivariate copulas which generalizes some known families such as the Farlie-Gumbel-Morgenstern distributions.
Vadoud Najjari, Asghar Rahimi
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The Cambanis family of bivariate distributions: Properties and applications
Statistica, 2016 The Cambanis family of bivariate distributions was introduced as a generalization of the Farlie-Gumbel-Morgenstern system. The present work is an attempt to investigate the distributional characteristics and applications of the family.
N. Unnikrishnan Nair +2 more
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Counterfactual Distributions in Bivariate Models—A Conditional Quantile Approach
Econometrics, 2015 This paper proposes a methodology to incorporate bivariate models in numerical computations of counterfactual distributions. The proposal is to extend the works of Machado and Mata (2005) and Melly (2005) using the grid method to generate pairs of random
Javier Alejo, Nicolás Badaracco
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Efficient Modeling of the Energy Sector Using a New Bivariate Copula
MathematicsCopulas are a useful tool to generate bivariate distributions from the univariate marginals. This method is also useful to generate bivariate families of distributions. In this paper, a new copula has been proposed. Some useful properties of the proposed
Jumanah Ahmed Darwish +1 more
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Complexity, 2022 There is an increasing interest in expanding the one-parameter Lindley distribution to two-parameter, three-parameter, and five-parameter. The univariate one-parameter Lindley distribution is still one of the most applicable distributions in data ...
Ahmed Elhassanein
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Central regions for bivariate distributions [PDF]
, 2002 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.
Fernández Ponce, José María +1 more
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Bivariate Poisson Generalized Lindley Distributions and the Associated BINAR(1) Processes
Austrian Journal of StatisticsThis paper proposes new bivariate distributions based on the Poisson generalized Lindley distribution as marginal. These models include the basic bivariate Poisson generalized Lindley (BPGL) and the Sarmanov-based bivariate Poisson generalized Lindley ...
Irshad Muhammed Rasheed +4 more
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