## Statistical theory of extreme values and some practical applications: a series of lectures |

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A. A. Griffith abscissa age at death annual floods application asymp asymptotic distribution asymptotic probability average bacteria breakdown voltage breaking strength Bureau of Standards bution calculated Cauchy distribution control curves control intervals converge corresponding cumulative frequency distribution of extreme E. J. G. Pitman E. J. Gumbel equation expected largest value Expected means exponential type extremal probability paper extreme values forecast formula frequency distribution ft3/sec future trials given initial distribution initial variate largest flood largest normal values lecture linear logarithm Math mean number median method mth largest value mth value National Bureau normal distribution number of exceedances number of observations obtained oldest age parameters plotting position prob probability function probability of largest probability of smallest problem procedure R. A. Fisher reduced variate return period sample size scale standard deviation standard error statistical variate straight line 2.13 strength of materials symmetrical theory of extreme tion totic variance yarn