Chapters: David A. Freedman, Sedley Cudmore, Ivan Fellegi, Douglas Wiens, Herbert Marshall, Robert H. Coats, Martin Wilk, John F. Macgregor, Chief Statistician of Canada, Phillip Good, Charles Dunnett. Source: Wikipedia. Pages: 35. Not illustrated. Free updates online. Purchase includes a free trial membership in the publisher's book club where you can select from more than a million books without charge. Excerpt: David A. Freedman (1938 2008) was Professor of Statistics at the University of California, Berkeley. He was a distinguished mathematical statistician whose wide-ranging research included the analysis of martingale inequalities, Markov processes, de Finetti's theorem, consistency of Bayes estimators, sampling, the bootstrap, and procedures for testing and evaluating models. He published extensively on methods for causal inference and the behavior of standard statistical models under non-standard conditions for example, how regression models behave when fitted to data from randomized experiments. Freedman also wrote widely on the applicationand misapplicationof statistics in the social sciences, including epidemiology, public policy, and law. Freedman was a consulting or testifying expert on statistics in disputes involving employment discrimination, fair loan practices, voting rights, duplicate signatures on petitions, railroad taxation, ecological inference, flight patterns of golf balls, price scanner errors, Bovine Spongiform Encephalopathy (Mad Cow disease), and sampling. He consulted for the Bank of Canada, the Carnegie Commission, the City of San Francisco, the County of Los Angeles, and the Federal Reserve, as well as the U.S. departments of energy, treasury, justice, and commerce. Freedman and his colleague Kenneth Wachter testified to the United States Congress and the courts against adjusting the 1980 and 1990 censuses using estimates of differential undercounts. A 1990 lawsuit that sought to compel the ...More: http: //booksllc.net/?id=2057428