Cantitate/Preț
Produs

Complex Surveys – A Guide to Analysis Using R: Wiley Series in Survey Methodology

Autor TS Lumley
en Limba Engleză Paperback – 4 mar 2010
Survey analysis remains the bread-and-butter of sociological research. Highlighting three main areas of interest-calibration estimators, two-phase designs, and fitting of regression models to survey data-Complex Surveys is the first book to describe the use of R in survey analysis in order to meticulously demonstrate new and efficient analyses of survey research methods in the health and social sciences. Written for applied statisticians and sophisticated users of statistics in the health and social sciences, the text employs large data sets throughout to illustrate the need for, and utility of, the R software system.
Citește tot Restrânge

Din seria Wiley Series in Survey Methodology

Preț: 53251 lei

Preț vechi: 57881 lei
-8% Nou

Puncte Express: 799

Preț estimativ în valută:
10192 10752$ 8493£

Carte tipărită la comandă

Livrare economică 03-17 ianuarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780470284308
ISBN-10: 0470284307
Pagini: 296
Ilustrații: Illustrations
Dimensiuni: 156 x 234 x 16 mm
Greutate: 0.43 kg
Editura: Wiley
Seria Wiley Series in Survey Methodology

Locul publicării:Hoboken, United States

Public țintă

Upper undergraduate/beginning graduate courses on complex surveys, applied statisticians, libraries.

Cuprins


Notă biografică

THOMAS LUMLEY, PHD, is Associate Professor of Biostatistics at the University of Washington. He has published numerous journal articles in his areas of research interest, which include regression modeling, clinical trials, statistical computing, and survey research. Dr. Lumley created the survey package that currently accompanies the R software package, and he is also coauthor of Biostatistics: A Methodology for the Health Sciences, Second Edition, published by Wiley.

Descriere

* Incorporates the use of R subroutines in the analysis ofsurveys * Realistically large, but not technologically inaccessible, datasets are showcased to illustrate the need for and utility of the Rsoftware system.