Abstract
A LARGE part of statistical theory is based on the assumption that measurements are distributed in normal probability curves and that the variance is constant. The normal curve was discovered by de Moivre in 1753 and developed as a useful mathematical tool by Laplace, Gauss, Maxwell and others. It has a number of interesting properties, and various attempts were once made to establish a law of Nature known as the ‘normal law of errors’, which implied that measurements ought always to be distributed in this way. These attempts were undeservedly successful. The use of the adjective ‘normal’ in connexion with this law implies more than is justified by the facts, whereas in fact the adjective is established by custom and provides a convenient label for distributions of this type.
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GADDUM, J. Lognormal Distributions. Nature 156, 463–466 (1945). https://doi.org/10.1038/156463a0
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DOI: https://doi.org/10.1038/156463a0
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