I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Rounding non-binary categorical variables following multiva..:
Galati, J. C.
;
Seaton, K. A.
;
Lee, K. J.
..
Journal of Statistical Computation and Simulation. 84 (2012) 4 - p. 798-811 , 2012
Link:
https://doi.org/10.1080/00949655.2012.727815
RT Journal T1 <Title>Rounding non-binary categorical variables following multivariate normal imputation: evaluation of simple methods and implications for practice</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1080_00949655.2012.727815&Exemplar=1&LAN=DE A1 Galati, J. C. A1 Seaton, K. A. A1 Lee, K. J. A1 Simpson, J. A. A1 Carlin, J. B. PB Informa UK Limited YR 2012 SN 0094-9655 SN 1563-5163 JF Journal of Statistical Computation and Simulation VO 84 IS 4 SP 798 OP 811 LK http://dx.doi.org/https://doi.org/10.1080/00949655.2012.727815 DO https://doi.org/10.1080/00949655.2012.727815 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
