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The history of statistics: the measurement of uncertainty before 1900 by Stephen M. Stigler

The history of statistics: the measurement of uncertainty before 1900 Stephen M. Stigler ebook
ISBN: 0674403401, 9780674403406
Format: djvu
Publisher: Belknap Press
Page: 427

In Bayesian statistics, the asymptotic distribution of the posterior mode depends on the Fisher information and not on the prior (according to the Bernstein–von Mises Theorem, which was anticipated by Laplace for exponential families). Most scientists use two closely related statistical approaches to make inferences from their data: significance testing and hypothesis testing. The history of statistics: The measurement of uncertainty before 1900. The obvious answer to we moderns is to combine the data into a statistic, like an average. The history of statistics: the measurement of uncertainty before 1900 pdf free. Bayesian statisticians try to quantify uncertainty and use data to modify their certainty about particular beliefs. The role of the Fisher information in the asymptotic theory of maximum-likelihood .. The rest of this comes from Stigler's excellent The History of Statistics: The Measurement of Uncertainty before 1900, chapter 1. The history of statistics: the measurement of uncertainty before 1900. The History of Statistics: The Measurement of Uncertainty before 1900. Lately, I've been interested in learning something about the history of statistical experimental design. This has led me to Stigler's The History of Statistics: The Measurement of Uncertainty Before 1900. Cambridge, MA: Harvard University Press. But even before the trial was conducted we could reasonably have expected the treatment was “ effective” – almost all drugs have some biochemical action and all surgical interventions have some effects on health.