EconBiz - Find Economic Literature
    • Logout
    • Change account settings
  • A-Z
  • Beta
  • About EconBiz
  • News
  • Thesaurus (STW)
  • Academic Skills
  • Help
  •  My account 
    • Logout
    • Change account settings
  • Login
EconBiz - Find Economic Literature
Publications Events
Search options
Advanced Search history
My EconBiz
Favorites Loans Reservations Fines
    You are here:
  • Home
  • Search: subject:"Non-ignorable missing data"
Narrow search

Narrow search

Year of publication
Subject
All
Non-ignorable missing data 2 Anreiz 1 Bayesian method 1 Befragung 1 Bias 1 Data collection method 1 Erhebungstechnik 1 Growth mixture models 1 HIV 1 Incentives 1 Interview 1 Leistungsanreiz 1 Model selecting criteria 1 Participation incentives 1 Performance incentive 1 Robust methods 1 Sampling 1 Selection bias 1 Selection models 1 Stichprobenerhebung 1 Survey design 1 Systematischer Fehler 1 Theorie 1 Theory 1
more ... less ...
Online availability
All
Undetermined 2
Type of publication
All
Article 2
Type of publication (narrower categories)
All
Article in journal 1 Aufsatz in Zeitschrift 1
Language
All
English 1 Undetermined 1
Author
All
Bärnighausen, Till 1 Canning, David 1 Lu, Zhenqiu 1 McGovern, Mark E. 1 Zhang, Zhiyong 1
Published in...
All
Computational Statistics & Data Analysis 1 Economics letters 1
Source
All
ECONIS (ZBW) 1 RePEc 1
Showing 1 - 2 of 2
Cover Image
Accounting for non-response bias using participation incentives and survey design : an application using gift vouchers
McGovern, Mark E.; Canning, David; Bärnighausen, Till - In: Economics letters 171 (2018), pp. 239-244
Persistent link: https://www.econbiz.de/10012021795
Saved in:
Cover Image
Robust growth mixture models with non-ignorable missingness: Models, estimation, selection, and application
Lu, Zhenqiu; Zhang, Zhiyong - In: Computational Statistics & Data Analysis 71 (2014) C, pp. 220-240
Challenges in the analyses of growth mixture models include missing data, outliers, estimation, and model selection. Four non-ignorable missingness models to recover the information due to missing data, and three robust models to reduce the effect of non-normality are proposed. A full Bayesian...
Persistent link: https://www.econbiz.de/10010719680
Saved in:
A service of the
zbw
  • Sitemap
  • Plain language
  • Accessibility
  • Contact us
  • Imprint
  • Privacy

Loading...