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Search: subject:"Principal component regression"
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principal component regression
14
Regression analysis
10
Regressionsanalyse
10
Forecasting model
8
Prognoseverfahren
8
Estimation theory
7
Principal component regression
7
Schätztheorie
7
Demand and Price Analysis
4
Partial least squares
4
Time series analysis
4
Zeitreihenanalyse
4
cointegration
4
geographical distance
4
price transmission
4
rice
4
structural breaks
4
Brazil
3
China
3
Factor analysis
3
Multicollinearity
3
Principal Component Regression
3
Principal component analysis
3
Agricultural and Food Policy
2
Business tendency surveys
2
Data-rich forecasting methods
2
Dimension-reduction techniques
2
Dynamic factor models
2
Faktorenanalyse
2
Hauptkomponentenanalyse
2
Kleinste-Quadrate-Methode
2
Least squares method
2
Resource /Energy Economics and Policy
2
South Africa
2
Theorie
2
Theory
2
business cycle analysis
2
functional principal component regression
2
irrigation projects
2
smallholder
2
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Undetermined
17
Free
15
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Article
26
Book / Working Paper
9
Other
2
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Article in journal
11
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1
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English
21
Undetermined
16
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Hernandez-Villafuerte, Karla Vanessa
4
Shang, Han Lin
4
Cubadda, Gianluca
3
Guardabascio, Barbara
3
Abberger, Klaus
2
Alemu, Zerihun Gudeta
2
Magingxa, Litha Light
2
Aguilera, A.
1
Basu, Souvik
1
Bergstrom, John C.
1
Biabanaki, Monireh
1
Bouzas, P.
1
Cai, Ruohong
1
Carter, Randy L.
1
Chan, Swee Lean
1
Chan, Yeung Lewis
1
Chang, Victor
1
DasBit, Sipra
1
Ejohwomu, Obuks Augustine
1
Eslamian, Saeid
1
Franses, Philip Hans
1
Ghasemizadeh, Mehdi
1
Haberman, Steven
1
Huber, Florian
1
Inagaki, Nobuo
1
Inan, Deniz
1
Janssens, Eva
1
Ji, Xiao-dong
1
Jimichi, Masayuki
1
Kearney, Fearghal
1
Kiers, Henk
1
Koop, Gary
1
Kosfeld, Reinhold
1
Lauridsen, Jørgen
1
Ledolter, Johannes
1
Li, Yuhong
1
Liu, Yu-jing
1
Lovaglio, Pietro
1
Ma, Yan
1
Michael, Netsanet
1
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Agricultural and Applied Economics Association - AAEA
1
Centro di Studi Internazionali Sull'Economia e la Sviluppo (CEIS), Facoltà di Economia
1
Department of Agricultural and Applied Economics, University of Georgia
1
Department of Econometrics and Business Statistics, Monash Business School
1
European Association of Agricultural Economists - EAAE
1
International Association of Agricultural Economists - IAAE
1
ifo Leibniz-Institut für Wirtschaftsforschung an der Universität München e.V.
1
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Statistical Papers / Springer
3
Journal of forecasting
2
Statistical Methods and Applications
2
2006 Annual Meeting, August 12-18, 2006, Queensland, Australia
1
2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania
1
2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland
1
Annals of the Institute of Statistical Mathematics
1
Application of operations research to financial markets
1
Applied economics letters
1
Asian Agricultural Research
1
CEIS Research Paper
1
Construction Management and Economics
1
Economic Modelling
1
Economic modelling
1
Faculty Series
1
IEEE transactions on engineering management : EM
1
Ifo Working Paper Series
1
Insurance / Mathematics & economics
1
International journal of business and systems research : IJBSR
1
Inventi impact: microfinance & banking
1
Journal of applied econometrics
1
Journal of quantitative economics
1
Management and Marketing Journal
1
Modern economy
1
Monash Econometrics and Business Statistics Working Papers
1
Spanish Economic Review
1
Statistical Applications in Genetics and Molecular Biology
1
Water Resources Management
1
ifo Working Paper
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RePEc
20
ECONIS (ZBW)
12
BASE
4
EconStor
1
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1
Subspace shrinkage in conjugate Bayesian vector autoregressions
Huber, Florian
;
Koop, Gary
- In:
Journal of applied econometrics
38
(
2023
)
4
,
pp. 556-576
Persistent link: https://www.econbiz.de/10014288019
Saved in:
2
Multi-population modelling and forecasting life-table death counts
Shang, Han Lin
;
Haberman, Steven
;
Xu, Ruofan
- In:
Insurance / Mathematics & economics
106
(
2022
),
pp. 239-253
Persistent link: https://www.econbiz.de/10013380527
Saved in:
3
Factor analysis regression for predictive modeling with high-dimensional data
Carter, Randy L.
;
Michael, Netsanet
- In:
Journal of quantitative economics
20
(
2022
),
pp. 115-132
Persistent link: https://www.econbiz.de/10013441609
Saved in:
4
Analysis of influencing factors of grain yield based on multiple linear regression
Chang, Victor
;
Xu, Qianwen
- In:
International journal of business and systems research …
15
(
2021
)
3
,
pp. 337-355
Persistent link: https://www.econbiz.de/10012513974
Saved in:
5
The research on influencing factors of stock price fluctuation of listed companies in China based on PCA-multiple regression
Ma, Yan
- In:
Inventi impact: microfinance & banking
(
2021
)
3
,
pp. 142-152
Persistent link: https://www.econbiz.de/10012816968
Saved in:
6
A post-disaster demand forecasting system using
principal
component
regression
analysis and case-based reasoning over smartphone-based DTN
Basu, Souvik
;
Roy, Siuli
;
DasBit, Sipra
- In:
IEEE transactions on engineering management : EM
66
(
2019
)
2
,
pp. 224-239
Persistent link: https://www.econbiz.de/10012023138
Saved in:
7
Spurious principal components
Franses, Philip Hans
;
Janssens, Eva
- In:
Applied economics letters
26
(
2019
)
1
,
pp. 37-39
Persistent link: https://www.econbiz.de/10012204125
Saved in:
8
Intraday forecasts of a volatility index : functional time series methods with dynamic updating
Shang, Han Lin
;
Yang, Yang
;
Kearney, Fearghal
- In:
Application of operations research to financial markets
,
(pp. 331-354)
.
2019
Persistent link: https://www.econbiz.de/10012160005
Saved in:
9
Forecasting intraday S&P 500 index returns : a functional time series approach
Shang, Han Lin
- In:
Journal of forecasting
36
(
2017
)
7
,
pp. 741-755
Persistent link: https://www.econbiz.de/10011860709
Saved in:
10
Principal Component Analysis of Crop Yield Response to Climate Change
Cai, Ruohong
;
Bergstrom, John C.
;
Mullen, Jeffrey D.
; …
-
Department of Agricultural and Applied Economics, …
-
2011
Principal
Component
Regression
(PCR) model is developed to estimate the historical relationships between weather and crop yields …
Persistent link: https://www.econbiz.de/10009020874
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