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Search: subject:"Principal components regression"
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Principal components regression
6
Regression analysis
6
Regressionsanalyse
6
Estimation theory
4
Schätztheorie
4
Kleinste-Quadrate-Methode
3
Least squares method
3
Partial least squares
3
Partielle kleinste Quadrate
3
Dimensionality reduction
2
LASSO
2
Multicollinearity
2
Portfolio selection
2
Portfolio-Management
2
Ridge regression
2
Shrinkage
2
Africa
1
Afrika
1
Balanced panel data
1
Biased estimators
1
Demand and Price Analysis
1
Dimension reduction
1
Economic growth
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Efficient Portfolios
1
Efficient portfolios
1
High-dimensional data
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House Advantage
1
Imputation
1
Mean square error matrix Multicollinearity Ordinary ridge regression estimator Principal components regression estimator r
1
Missing data
1
Misspecification
1
National income
1
Nationaleinkommen
1
Ordinary ridge regression estimator
1
Panel
1
Panel study
1
Partial Least Squares (PLS)
1
Partial least squares (PLS)
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Partial least squares regression
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Pitman closeness criterion
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Ciuiu, Daniel
2
Sarkar, Nityananda
2
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2
Costinescu, Cristian
1
Franses, Philip Hans
1
Kaçıranlar, Selahattin
1
Saikia, B.
1
Sanint, Luis R.
1
Sapra, Sunil K.
1
Singh, Ashok K.
1
Singh, R.
1
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1
Özkale, M.
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Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München
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1
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1
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International review of financial analysis
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Statistics & Probability Letters
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The empirical economics letters : a monthly international journal of economics
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The journal of gambling business and economics
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ECONIS (ZBW)
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Mean square error matrix comparison of some estimators in linear regressions with multicollinearity
Sarkar, Nityananda
- In:
Statistics & Probability Letters
30
(
1996
)
2
,
pp. 133-138
The ordinary least squares, the
principal
components
regression
and the ordinary ridge regression estimators are …
Persistent link: https://www.econbiz.de/10005074540
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12
Comparisons among some estimators in misspecified linear models with multicollinearity
Sarkar, Nityananda
- In:
Annals of the Institute of Statistical Mathematics
41
(
1989
)
4
,
pp. 717-724
Persistent link: https://www.econbiz.de/10005395519
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