David A. Freedman presents here a definitive synthesis of his approach to causal inference in the social sciences. He explores the foundations and limitations of statistical modeling, illustrating basic arguments with examples from political science, public policy, law, and epidemiology. Freedman maintains that many new technical approaches to statistical modeling constitute not progress, but regress. Instead, he advocates a 'shoe leather' methodology, which exploits natural variation to mitigate confounding and relies on intimate knowledge of the subject matter to develop meticulous research designs and eliminate rival explanations. When Freedman first enunciated this position, he was met with scepticism, in part because it was hard to believe that a mathematical statistician of his stature would favor 'low-tech' approaches. But the tide is turning. Many social scientists now agree that statistical technique cannot substitute for good research design and subject matter knowledge. This book offers an integrated presentation of Freedman's views.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
David A. Freedman presents here a definitive synthesis of his views on the foundations and limitations of statistical modeling in the social sciences, He maintains that many new technical approaches to statistical modeling constitute not progress, but regress, and he shows why these methods are not reliable.
David A. Freedman (1938–2008) was Professor of Statistics at the University of California, Berkeley. He was a distinguished mathematical statistician whose theoretical 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 of methods for causal inference. Freedman published widely on the application - and misapplication - of statistics in works within a variety of social sciences, including epidemiology, demography, political science, public policy, and law. He emphasized exposing and checking the assumptions that underlie standard methods, as well as understanding how those methods behave when the assumptions are false - for example, how regression models behave when fitted to data from randomized experiments. He had a remarkable talent for integrating carefully honed statistical arguments with compelling empirical applications and illustrations. Freedman was a member of the American Academy of Arts and Sciences, and in 2003 he received the National Academy of Science's John J. Carty Award, for his 'profound contributions to the theory and practice of statistics'.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Spese di spedizione:
EUR 4,95
In U.S.A.
Spese di spedizione:
EUR 2,38
In U.S.A.
Da: Grey Matter Books, Hadley, MA, U.S.A.
Soft cover. Condizione: Very Good. Text is unmarked; pages are bright. Binding is sturdy. Covers show just a little light wear around the corners. 399pp. Codice articolo 067153
Quantità: 1 disponibili
Da: SecondSale, Montgomery, IL, U.S.A.
Condizione: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. Codice articolo 00066472914
Quantità: 2 disponibili
Da: GF Books, Inc., Hawthorne, CA, U.S.A.
Condizione: Very Good. Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 1.72. Codice articolo 0521123909-2-3
Quantità: 1 disponibili
Da: Book Deals, Tucson, AZ, U.S.A.
Condizione: Good. Good condition. This is the average used book, that has all pages or leaves present, but may include writing. Book may be ex-library with stamps and stickers. 1.72. Codice articolo 353-0521123909-gdd
Quantità: 1 disponibili
Da: Ergodebooks, Houston, TX, U.S.A.
Softcover. Condizione: Good. 1. David A. Freedman presents here a definitive synthesis of his approach to causal inference in the social sciences. He explores the foundations and limitations of statistical modeling, illustrating basic arguments with examples from political science, public policy, law, and epidemiology. Freedman maintains that many new technical approaches to statistical modeling constitute not progress, but regress. Instead, he advocates a "shoe leather" methodology, which exploits natural variation to mitigate confounding and relies on intimate knowledge of the subject matter to develop meticulous research designs and eliminate rival explanations. When Freedman first enunciated this position, he was met with skepticism, in part because it was hard to believe that a mathematical statistician of his stature would favor "low-tech" approaches. But the tide is turning. Many social scientists now agree that statistical technique cannot substitute for good research design and subject matter knowledge. This book offers an integrated presentation of Freedman's views. Codice articolo SONG0521123909
Quantità: 1 disponibili
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: USED_ASNEW. Unread book in perfect condition. Codice articolo 7096819
Quantità: 5 disponibili
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: NEW. Codice articolo 7096819-n
Quantità: 5 disponibili
Da: Book Deals, Tucson, AZ, U.S.A.
Condizione: New. New! This book is in the same immaculate condition as when it was published 1.72. Codice articolo 353-0521123909-new
Quantità: 1 disponibili
Da: Books Unplugged, Amherst, NY, U.S.A.
Condizione: New. Buy with confidence! Book is in new, never-used condition 1.72. Codice articolo bk0521123909xvz189zvxnew
Quantità: 1 disponibili
Da: Campbell Bookstore, Austin, TX, U.S.A.
Condizione: NEW. Codice articolo NewCamp0521123909
Quantità: 1 disponibili