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~person:"Saepudin, Didin"
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Geographically weighted Poisson regression
3
Local specific parameters
3
Weighting matrix
3
Estimation theory
1
Regression analysis
1
Regressionsanalyse
1
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Saepudin, Didin
Winkelmann, Rainer
23
Denuit, Michel
9
Liesenfeld, Roman
9
Zeileis, Achim
9
Czado, Claudia
8
Klein, Nadja
7
Ellison, Glenn
6
Greene, William H.
6
Jung, Robert
6
Kleiber, Christian
6
Kneib, Thomas
6
Lang, Stefan
6
Pan, Bing
6
Swanson, Ashley
6
Bertanha, Marinho
5
Cheng, Terence Chai
5
Coleman, Andrew
5
Hausman, Catherine
5
Miranda, Alfonso
5
Moser, Petra
5
Tenreyro, Silvana
5
Trivedi, Pravin K.
5
Waldenström, Daniel
5
Weisdorf, Jacob
5
Windmeijer, Frank
5
Baetschmann, Gregori
4
Chernozhukov, Victor
4
Dasgupta, Susmita
4
Di Vaio, Gianfranco
4
Glaser, Stephanie
4
Han, Sukjin
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Herger, Nils
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Huq, Mainul
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McCorriston, Steve
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Nolan, Michael A.
4
Oberhofer, Harald
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Philippovich, Tassilo
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Sarker, Rakhal
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European Regional Science Association
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53rd Congress of the European Regional Science Association: "Regional Integration: Europe, the Mediterranean and the World Economy", 27-31 August 2013, Palermo, Italy
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Geographically Weighted
Poisson
Regression
(GWPR) for Analyzing The Malnutrition Data in Java-Indonesia
Saefuddin, Asep
;
Saepudin, Didin
;
Kusumaningrum, Dian
-
2013
of
Poisson
regression
. The secondary data set used in this study is obtained from Podes (Village Potential Data) of 2008 …
Persistent link: https://www.econbiz.de/10011397561
Saved in:
2
Geographically weighted
poisson
regression
(GWPR) for analyzing the malnutrition data in Java-Indonesia
Saefuddin, Asep
;
Saepudin, Didin
;
Kusumaningrum, Dian
-
2013
of
Poisson
regression
. The secondary data set used in this study is obtained from Podes (Village Potential Data) of 2008 …
Persistent link: https://www.econbiz.de/10011517149
Saved in:
3
Geographically Weighted
Poisson
Regression
(GWPR) for Analyzing The Malnutrition Data in Java-Indonesia
saefuddin, Asep
;
Saepudin, Didin
;
Kusumaningrum, Dian
-
European Regional Science Association
-
2013
of
Poisson
regression
. The secondary data set used in this study is obtained from Podes (Village Potential Data) of 2008 …
Persistent link: https://www.econbiz.de/10010740407
Saved in:
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