//--> //--> //-->
Toggle navigation
Logout
Change account settings
EN
DE
ES
FR
A-Z
Beta
About EconBiz
News
Thesaurus (STW)
Research Skills
Help
EN
DE
ES
FR
My account
Logout
Change account settings
Login
Publications
Events
Your search terms
Search
Retain my current filters
subject:"Regressionsanalyse"
type_genre:"Aufsatz im Buch"
~isPartOf:"Computational biomedicine"
~isPartOf:"The Oxford handbook of applied nonparametric and semiparametric econometrics and statistics"
~person:"Fang, Kuangnan"
Search options
All Fields
Title
Exact title
Subject
Author
Institution
ISBN/ISSN
Published in...
Publisher
Open Access only
Advanced
Search history
My EconBiz
Favorites
Loans
Reservations
Fines
You are here:
Home
Search: subject_exact:"Estimation theory"
Narrow search
Delete all filters
| 5 applied filters
Year of publication
From:
To:
Subject
All
Regressionsanalyse
Estimation theory
1
Nichtparametrisches Verfahren
1
Nonparametric statistics
1
Regression analysis
1
Schätztheorie
1
Time series analysis
1
Zeitreihenanalyse
1
more ...
less ...
Online availability
All
Undetermined
1
Type of publication
All
Article
1
Type of publication (narrower categories)
All
Aufsatz im Buch
Book section
1
Language
All
English
1
Author
All
Fang, Kuangnan
Fan, Xinyan
1
Henderson, Daniel J.
1
Lan, Wei
1
Lewbel, Arthur
1
Ma, Shujie
1
Maasoumi, Esfandiar
1
Su, Liangjun
1
Ullah, Aman
1
Wang, Bingquan
1
Wang, Yun
1
Yang, Lijian
1
Zhang, Yonghui
1
more ...
less ...
Published in...
All
Computational biomedicine
The Oxford handbook of applied nonparametric and semiparametric econometrics and statistics
Source
All
ECONIS (ZBW)
1
Showing
1
-
1
of
1
Sort
relevance
articles prioritized
date (newest first)
date (oldest first)
1
Nonparametric additive beta regression for fractional response with application to body fat data
Fang, Kuangnan
;
Fan, Xinyan
;
Lan, Wei
;
Wang, Bingquan
- In:
Computational biomedicine
,
(pp. 331-347)
.
2019
Persistent link: https://www.econbiz.de/10012017795
Saved in:
Results per page
10
25
50
100
250
A service of the
zbw
×
Loading...
//-->