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- Statistical Models: Theory and Practice
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- David A. Freedman
This lively and engaging textbook explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques you need to build statistical models of your own.
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Statistical Models: Theory and Practice
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David A. Professor of Statistics and Mathematics. UC Berkeley. A faculty member for 47 years at the University of California, Berkeley, David Freedman made profound contributions to the theory and practice of statistics and reshaped the modern teaching of statistics. Professor Freedman was born in Montreal, Canada, on 5 March and retained his Canadian citizenship throughout his life. He graduated from McGill University in and received an M. After a year at Imperial College, London, in he entered the six-year-old Department of Statistics at Berkeley, which was chaired by Jerzy Neyman, initiating the arrival of a young generation who would maintain Berkeley's position of eminence established by the founders.
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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.
David A. Freedman
Cross Validated is a question and answer site for people interested in statistics, machine learning, data analysis, data mining, and data visualization. It only takes a minute to sign up. I'm not a statistician, but I'm very interested in statistics and I'd like to buy a book to keep as a reference. I have a few books on specific subjects such as The Elements of Statistical Learning for machine learning or Bayesian Data Analysis for Advanced statistics books recommendation. What book would you recommend for non-statistician scientists?
David A. Freedman, explains the basic ideas of association and regression, and takes you through Statistical Models: Theory and Practice presents serious applications and the for dice, see katcompany.orgpdf.