Abstract
When two variables are jointly related by the bivariate lognormal distribution, their marginal distributions are lognormal. At first, the distribution appears confounding due to the lognormal characteristics of the variables. By taking the log of each marginal distribution, a pair of normal marginal distributions evolve, and these are jointly related by the bivariate normal distribution described in Chap. 8 (Bivariate Normal). The bivariate normal is defined with the mean and standard deviation of each normal variable and by the correlation between them. These five parameters become the parameters for the counterpart bivariate lognormal distribution. The chapter shows how the mean and variance from the normal is transformed to the mean and variance for the lognormal. Also described is how to compute the correlation of the lognormal from the normal parameters. When sample data is distributed as bivariate lognormal, converting some data and applying the bivariate normal tables of Chap. 8 allow computation for a variety of joint probabilities.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Thomopoulos, N. T., & Longinow, A. C. (1984). Bivariate lognormal probability distribution. Journal of Structural Engineering, 110, 3045–3049.
Thomopoulos, N. T., & Johnson, A. C. (2004). Some Measures on the Standard Bivariate Lognormal Distribution. Proceedings of the Decision Sciences Institute. pp 1721–1726.
Law, A. M., & Kelton, D. W. (2000). Simulation, modeling and analysis. Boston: McGraw Hill.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
Thomopoulos, N.T. (2018). Bivariate Lognormal. In: Probability Distributions . Springer, Cham. https://doi.org/10.1007/978-3-319-76042-1_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-76042-1_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-76041-4
Online ISBN: 978-3-319-76042-1
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)