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Bivariate distribution

Construction of Bivariate Distribution by Mixing Positively Dependent and Negatively Dependent Distributions

Construction of Bivariate Distribution by Mixing Positively Dependent and Negatively Dependent Distributions

... continuous bivariate distribution functions with given marginals has become an ...new bivariate distributions, models that can express high correlation are generally tried to be ...continuous ...

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Parameter Estimation for Bivariate Mixed Lognormal Distribution

Parameter Estimation for Bivariate Mixed Lognormal Distribution

... recognise bivariate mixed lognormal distribution as a suitable probability ...mixed distribution in rainfall data origin by Kedem[6] while Shimizu[7] enriched the usage of mixed distribution ...

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Bivariate Generalization of the Inverted Hypergeometric Function Type I  Distribution

Bivariate Generalization of the Inverted Hypergeometric Function Type I Distribution

... The stress-strength model describes the life of a component which has a random strength X 2 and is subjected to a random stress X 1 . The component fails at the instant that the stress applied to it exceeds the strength ...

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THE JOINT DISTRIBUTION OF BIVARIATE EXPONENTIAL UNDER LINEARLY RELATED MODEL

THE JOINT DISTRIBUTION OF BIVARIATE EXPONENTIAL UNDER LINEARLY RELATED MODEL

... new bivariate generalized exponential distribution with potential applications in survival and reliability ...the bivariate vector were made linearly related indirectly through a collection of latent ...

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Recent developments on the construction of bivariate distributions with fixed marginals

Recent developments on the construction of bivariate distributions with fixed marginals

... joint distribution with specific marginals and ...a bivariate distribution having specific marginals and certain degrees of correlation to model the joint behavior of far-infrared and far-ultraviolet ...

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Concomitants of Generalized Order Statistics for a Bivariate Weibull Distribution

Concomitants of Generalized Order Statistics for a Bivariate Weibull Distribution

... Sometime it happen that a sample is available from a bivariate distribution, say F x y   , , and sample is arranged with respect to one of the variable, say X. The other variable, Y, is shuffled alongside ...

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Flood Routing Efficiency Assessment: an Approach Using Bivariate Copulas

Flood Routing Efficiency Assessment: an Approach Using Bivariate Copulas

... The reliability of the developed probabilistic model is verified by comparing a routed flood frequency curve (RFFC), derived from the bivariate distribution function, to a benchmarking RFFC. The latter is ...

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A note on finding peakedness in bivariate normal distribution using Mathematica

A note on finding peakedness in bivariate normal distribution using Mathematica

... In bivariate distributions, the property of peakedness is important and has two impending problems ...a bivariate distribution would have peakedness (i) separately and (ii) jointly with relationship ...

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A New Multivariate Weibull Distribution

A New Multivariate Weibull Distribution

... for distribution of records for continuous probability ...some bivariate distribution and the sample is arranged with respect to one of the ...the bivariate sample is arranged with respect to ...

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A Copula Based Test for a Two Component Bivariate Mixture Distribution

A Copula Based Test for a Two Component Bivariate Mixture Distribution

... underlying marginal distributions (see Sklar 1959). There are several copulas and each of these differ according to the strength of the dependence and the direction of the association. For the literature review, the ...

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Zero Truncated Bivariate Poisson Model: Marginal Conditional Modeling Approach with an Application to Traffic Accident Data

Zero Truncated Bivariate Poisson Model: Marginal Conditional Modeling Approach with an Application to Traffic Accident Data

... The average number of vehicles involved in accident and casualties are 1.83 and 1.37, with standard devia- tions 0.75 and 0.92, respectively. Table 1 displays the bivariate distribution of the number of ...

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Bivariate Zero Inflated Power Series Distribution

Bivariate Zero Inflated Power Series Distribution

... In a manufacturing process there may exist several types of (say m) defects—for example, solder short circuits, solder voids, absence of solder etc. on one printed circuit board. These defects cause different types of ...

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A truncated bivariate inverted Dirichlet distribution

A truncated bivariate inverted Dirichlet distribution

... truncated bivariate distributions with heavy tails is frequently en- countered in many applied areas, see, for example, Lien (1985, ...popular bivariate distribution with heavy tails is the ...

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Test of hypotheses for linear regression models with
non-sample prior information

Test of hypotheses for linear regression models with non-sample prior information

... There is a limited number of studies on the testing of parameters in the presence of uncertain NSPI for the regression models. There are few articles found in the liter- ature that use pre-test in the analysis of ...

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Inferences on a Scale Parameter of Bivariate Rayleigh Distribution by Ranked Set Sampling

Inferences on a Scale Parameter of Bivariate Rayleigh Distribution by Ranked Set Sampling

... 3. Al-Saleh, M. F. and Al-Ananbeh, A. M. (2005). Estimating the correlation coefficient in a bivariate normal distribution using moving extreme ranked set sampling with a concomitant variable. Journal of ...

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Test of hypotheses for linear regression models with
non-sample prior information

Test of hypotheses for linear regression models with non-sample prior information

... t distribution but the PTT follows a correlated bivariate Student’s t ...sampling distribution of the UT and RT follows a univariate noncentral F distribution under the alternative ...

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An Extended Bivariate T Distribution Type Symmetry Model for Square Contingency Tables

An Extended Bivariate T Distribution Type Symmetry Model for Square Contingency Tables

... DOI: 10.4236/ojs.2018.82015 254 Open Journal of Statistics Table 1. The frequencies of acceptance (at the 0.05 significance level) based on the like- lihood ratio chi-squared statistic for testing the hypothesis that the ...

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Measuring Tail Dependence for Aggregate Collateral Losses Using Bivariate Compound Shot Noise Cox Process

Measuring Tail Dependence for Aggregate Collateral Losses Using Bivariate Compound Shot Noise Cox Process

... used bivariate compound process to model aggregate collateral losses arising from catastrophic er of collateral losses, a Cox process was sed to accommodate the stochastic nature of their fre- quency rate in ...

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CAS: Pricing Multiple Property Cover Based on a Bivariate Lognormal Distribution

CAS: Pricing Multiple Property Cover Based on a Bivariate Lognormal Distribution

... the bivariate normal have been replaced by their sample estimates ( ˆ ¹, S), see ...a bivariate normal distribu- tion, Theorem 1 implies that the d 2 j statistics con- stitute a sample of size n that is ...

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DICE: A New Family of Bivariate Estimation of Distribution Algorithms based on Dichotomised Multivariate Gaussian Distributions

DICE: A New Family of Bivariate Estimation of Distribution Algorithms based on Dichotomised Multivariate Gaussian Distributions

... This purely quadratic structure, however, does not hold true for some of the other problem domains. While the DG model's superior performance is not as marked on these, nonetheless it still seems to be able to exploit ...

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