Linked from

The 6 pages that link to Log-normal distribution, each with the reason it gives.

• Normal distributionCompared with: Positive, right-skewed measurements may fit it better than a symmetric normal model.

• Exponential distributionCompared with: It models multiplicative variation and typically lacks the exponential model's constant hazard.

• Gaussian distributionCompared with: It models positive, multiplicative quantities where a Gaussian model would allow impossible negative values.

• Gamma distributionCompared with: It provides an alternative model for skewed positive data with multiplicative variation.