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
Improved inference in heteroskedastic regression models wit..:
Kim, Soo Young, author
;
Wang, Haonan, advisor
;
Meyer, Mary C., advisor
...
2000-2019. , 2019
Link:
https://hdl.handle.net/10217/193107
RT Journal T1
Improved inference in heteroskedastic regression models with monotone variance function estimation
UL https://suche.suub.uni-bremen.de/peid=base-ftcolostateunidc:oai:mountainscholar.org:10217_193107&Exemplar=1&LAN=DE A1 Kim, Soo Young, author A1 Wang, Haonan, advisor A1 Meyer, Mary C., advisor A1 Fosdick, Bailey K., committee member A1 Opsomer, Jean D., committee member A1 Luo, J. Rockey, committee member PB Colorado State University. Libraries YR 2019 K1 convergence rate K1 cone projection K1 regression splines JF 2000-2019 LK http://dx.doi.org/https://hdl.handle.net/10217/193107 DO https://hdl.handle.net/10217/193107 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)