Handbook of Missing Data Methodology (eBook, PDF)

Redaktion: Molenberghs, Geert; Verbeke, Geert; Tsiatis, Anastasios; Kenward, Michael G.; Fitzmaurice, Garrett

• Format: PDF

Produktbeschreibung

Missing data affect nearly every discipline by complicating the statistical analysis of collected data. But since the 1990s, there have been important developments in the statistical methodology for handling missing data. Written by renowned statisticians in this area, Handbook of Missing Data Methodology presents many methodological advances and t

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 600
• Erscheinungstermin: 6. November 2014
• Englisch
• ISBN-13: 9781439854624
• Artikelnr.: 72518477

Autorenporträt

Geert Molenberghs, Garrett Fitzmaurice, Michael G. Kenward, Anastasios Tsiatis, Geert Verbeke

Inhaltsangabe

Preliminaries. Likelihood and Bayesian Methods, Semiparametric Methods. Multiple Imputation. Sensitivity Analysis. Special Topics. Index.

Rezensionen

"There is evidence of a strong editorial hand-each chapter begins with a table of contents; the notation is surprisingly well standardized for a work by 20 authors; and the number of typos is modest. The chapters refer to each other, but one can read them independently and in any order...This handbook summarizes the authors' research on a range of missing-data problems of contemporary interest. Methodologists who seek a one-volume entry point into the field will find it useful."
-Journal of the American Statistical Association, May 2016