Analysis of Randomly Incomplete Data Without Imputation (SpringerBriefs in Statistics 2012)
By: Tejas Desai (author)Paperback
Up to 2 WeeksUsually despatched within 2 weeks
In this work, the theoretical results of Desai and Sen (2006, 2008) are used to describe several types of analyses of randomly incomplete data without imputation of any sort.
Introduction.- Fisher Information in Randomly-Incomplete-Data Likelihoods.- Methods for Normal Data.- Methods for Categorical Data.- The General Linear Model.- Logistic Regression.- References.- Index.
Number Of Pages:
- ID: 9783642235047
- Saver Delivery: Yes
- 1st Class Delivery: Yes
- Courier Delivery: Yes
- Store Delivery: Yes
Prices are for internet purchases only. Prices and availability in WHSmith Stores may vary significantly
© Copyright 2013 - 2018 WHSmith and its suppliers.
WHSmith High Street Limited Greenbridge Road, Swindon, Wiltshire, United Kingdom, SN3 3LD, VAT GB238 5548 36