By Herbert Hoijtink,Irene Klugkist,Paul Boelen
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This booklet deals a realistic figuring out of matters fascinated about bettering information caliber via enhancing, imputation, and checklist linkage. the 1st a part of the e-book bargains with equipment and types, targeting the Fellegi-Holt edit-imputation version, the Little-Rubin multiple-imputation scheme, and the Fellegi-Sunter list linkage version.
Compliment for the 1st version: "The booklet makes a priceless contribution by means of synthesizing present learn and settling on parts for destiny research for every element of the survey method. " —Journal of the yankee Statistical organization "Overall, the top of the range of the textual content fabric is matched by way of the standard of writing .
Bridging the space among conventional classical records and a Bayesian procedure, David Kaplan offers readers with the ideas and useful abilities they should practice Bayesian methodologies to their information research difficulties. half I addresses the weather of Bayesian inference, together with exchangeability, chance, prior/posterior distributions, and the Bayesian crucial restrict theorem.
Das Lehrbuch richtet sich an Studierende und Wissenschaftler, die im Rahmen einer Forschungsarbeit selbst Daten erheben und analysieren oder die vorhandene Literatur auswerten müssen. Häufig stehen sie vor dem challenge, nur schemenhafte (und häufig wenig erfreuliche) Erinnerungen an ihre Statistik- oder Ökonometrieveranstaltungen zu besitzen.
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