Presenting the first comprehensive review of the subject's theory and applications in more than 15 years

This outstanding reference encompasses the most-up-to-date advances in lognormal distributions in thorough, detailed contributions by specialists in statistics, business and economics, industry, biology, ecology, geology, and meteorology.

Lognormal Distributions describes the theory and methods of point and interval estimation as well as the testing of hypotheses clearly and precisely from a modern viewpoint—not only for the basic two-parameter lognormal distribution but also for its generalizations, including three parameters, truncated distributions, delta-lognormal distributions, and two or more dimensions.

Featuring over 600 references plus author and subject indexes, this volume reviews the subject's history... gives explicit formulas for minimum variance unbiased estimates of parameters and their variances... provides optimal tests of hypotheses and confidence interval procedures for various functions of the parameters in the two-parameter model... and discusses practical methods of analysis for truncated, censored, or grouped samples.