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G A Barnard
Statistics in the United Kingdom 193945
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A/-estimator Amer analysis application approach approximately assess asymptotic Bagnold Bayesian Biometrics Biometrika British doctors study central statistical agency coefficient concept consider contact rates countries covariates criteria crop defined denotes design of experiments diagnostic discussion disease econometric economic effects entropy epidemic Epidemiology equation error estimates evaluation evolution example experimental design exposure fertility Fisher function given grain hyperbolic distribution important individual infection International Statistical Institute likelihood function linear London M-estimator martingale Math mathematical mean measles measure observations official statistics optimal paper parameters Pearson population predictive probability problems procedure psychiatric R. A. Fisher random variables ratio regression relative risk saltation sample surveys sand Section selection social experiments specific standard statistical agencies statistical services statisticians stochastic survey sampling Table theory tion treatment United values variables variance yield York
The Empire of Chance: How Probability Changed Science and Everyday Life
Limited preview - 1989