By Thomas N. Herzog,Fritz J. Scheuren,William E. Winkler
This publication deals a realistic knowing of matters fascinated with enhancing facts caliber via enhancing, imputation, and checklist linkage. the 1st a part of the ebook bargains with tools and types, targeting the Fellegi-Holt edit-imputation version, the Little-Rubin multiple-imputation scheme, and the Fellegi-Sunter list linkage version. the second one half offers case stories during which those options are utilized in a number of components, together with loan warrantly coverage, clinical, biomedical, street safeguard, and social assurance in addition to the development of record frames and administrative lists. This e-book bargains a mix of functional suggestion, mathematical rigor, administration perception and philosophy.
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This publication deals a realistic knowing of concerns fascinated about bettering info caliber via enhancing, imputation, and list linkage. the 1st a part of the ebook offers with tools and types, concentrating on the Fellegi-Holt edit-imputation version, the Little-Rubin multiple-imputation scheme, and the Fellegi-Sunter list linkage version.
Compliment for the 1st variation: "The e-book makes a precious contribution via synthesizing present study and deciding upon components for destiny research for every element of the survey approach. " —Journal of the yank Statistical organization "Overall, the prime quality of the textual content fabric is matched by means of the standard of writing .
Bridging the space among conventional classical records and a Bayesian procedure, David Kaplan presents readers with the options and sensible abilities they should follow 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 imperative 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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