Multiple Imputation for Nonresponse in Surveys (häftad)
Fler böcker inom
Format
Häftad (Paperback / softback)
Språk
Engelska
Serie
Wiley Classics Library (del 81)
Antal sidor
320
Utgivningsdatum
2004-06-22
Förlag
John Wiley & Sons Inc
Dimensioner
234 x 157 x 15 mm
Vikt
460 g
ISBN
9780471655749

Multiple Imputation for Nonresponse in Surveys

av Donald B Rubin
Häftad,  Engelska, 2004-06-22
1752
Köp
Spara som favorit
  • Skickas från oss inom 5-8 vardagar.
  • Fri frakt över 249 kr för privatkunder i Sverige.
Finns även som
Visa alla 1 format & utgåvor
Demonstrates how nonresponse in sample surveys and censuses can be handled by replacing each missing value with two or more multiple imputations. Clearly illustrates the advantages of modern computing to such handle surveys, and demonstrates the benefit of this statistical technique for researchers who must analyze them. Also presents the background for Bayesian and frequentist theory. After establishing that only standard complete-data methods are needed to analyze a multiply-imputed set, the text evaluates procedures in general circumstances, outlining specific procedures for creating imputations in both the ignorable and nonignorable cases. Examples and exercises reinforce ideas, and the interplay of Bayesian and frequentist ideas presents a unified picture of modern statistics.
Visa hela texten

Passar bra ihop

  1. Multiple Imputation for Nonresponse in Surveys
  2. +
  3. Moral Ambition

De som köpt den här boken har ofta också köpt Moral Ambition av Rutger Bregman (häftad).

Köp båda 2 för 1978 kr

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

Fler böcker av Donald B Rubin

Övrig information

Donald B. Rubin , PhD, is a John L. Loeb Professor of Statistics at Harvard University in Cambridge, MA.¿ He was named 2000-2001 Statistician of the Year by the Chicago Chapter of ASA.¿ His research interests include causal inference in experiments and observational studies, developing and applying statistical models to data in a variety of scientific disciplines, and the application of Bayesian and empirical Bayesian techniques.

Du kanske gillar