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subject:"Prognoseverfahren"
subject:"Regression analysis"
~isPartOf:"UC San Diego previously published works"
~person:"Cattaneo, Matias D."
~person:"Peng, Liang"
~person:"Su, Liangjun"
~source:"econis"
~subject:"Statistical distribution"
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Prognoseverfahren
Regression analysis
Statistical distribution
Estimation theory
1
Nichtparametrisches Verfahren
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Nonparametric statistics
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Regressionsanalyse
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Schätztheorie
1
Statistische Verteilung
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distribution and density estimation
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efficiency
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local polynomial methods
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optimal kernel
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Cattaneo, Matias D.
Peng, Liang
Su, Liangjun
Jansson, Michael
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Ma, Xinwei
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University of California, San Diego / Department of Economics
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UC San Diego previously published works
Econometric theory
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Journal of econometrics
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CEMMAP working papers / Centre for Microdata Methods and Practice
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Journal of business & economic statistics : JBES ; a publication of the American Statistical Association
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Discussion paper / Sonderforschungsbereich 386 der Ludwig-Maximilians-Universität München
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Advances in econometrics
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Advances in econometrics : a research annual
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Astin bulletin : the journal of the International Actuarial Association
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CREATES Research Paper 2007-11
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CentER Discussion Paper Series Nr. 2021-029
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Cowles Foundation Discussion Paper
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Econometrica : journal of the Econometric Society, an internat. society for the advancement of economic theory in its relation to statistics and mathematics
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Economics letters
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Empirical economics : a journal of the Institute for Advanced Studies, Vienna, Austria
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Essays in honor of Jerry Hausman
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Open access policy deposits
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Recent work / Department of Economics, UC San Diego
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Scandinavian actuarial journal
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The Oxford handbook of applied nonparametric and semiparametric econometrics and statistics
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UC Berkeley previously published works
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Working papers series in theoretical and applied economics
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Local regression distribution estimators
Cattaneo, Matias D.
;
Jansson, Michael
;
Ma, Xinwei
-
University of California, San Diego / Department of …
-
2021
Persistent link: https://www.econbiz.de/10012887574
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