JOURNAL ARTICLE

Bivariate Exponential Distributions

E. J. Gumbel

Year: 1960 Journal:   Journal of the American Statistical Association Vol: 55 (292)Pages: 698-698

Abstract

Abstract A bivariate distribution is not determined by the knowledge of the margins. Two bivariate distributions with exponential margins are analyzed and another is briefly mentioned. In the first distribution (2.1) the conditional expectation of one variable decreases to zero with increasing values of the other one. The coefficient of correlation is never positive and lies in the interval –.40≤ρ≤0, and the correlation ratio varies from –.48 to zero. In the second distribution (3.4) the conditional expectation of one variable increases or decreases with increasing values of the other variable depending on the sign of the correlation. The coefficient of correlation lies in the interval –.25≤ρ≤.25, and the correlation ratio is proportional to the coefficient.

Keywords:
Mathematics Fisher transformation Bivariate analysis Statistics Correlation coefficient Correlation ratio Correlation Exponential distribution Exponential function Distribution (mathematics) Sign (mathematics) Variable (mathematics) Mathematical analysis Geometry

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0.84
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0
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0.81
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Citation History

Topics

Advanced Statistical Methods and Models
Physical Sciences →  Mathematics →  Statistics and Probability
Advanced Statistical Modeling Techniques
Physical Sciences →  Computer Science →  Computer Networks and Communications

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