Linear regression

Results: 5577



#Item
21How well can pre-clinical stroke researchers replicate effect sizes in their experiments? A metaanalysis of “accidental replications”. Principle investigators Research group Topic / keywords Date Version

How well can pre-clinical stroke researchers replicate effect sizes in their experiments? A metaanalysis of “accidental replications”. Principle investigators Research group Topic / keywords Date Version

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Source URL: www.translationalethics.com

Language: English - Date: 2016-04-14 13:54:07
22Microsoft Word - satpaper.forjoe.finalrevision.doc

Microsoft Word - satpaper.forjoe.finalrevision.doc

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Source URL: eml.berkeley.edu

Language: English - Date: 2012-11-01 12:46:13
23On the finite sample properties of pre-test estimators of spatial models Gianfranco Piras∗ Ingmar R. Prucha†

On the finite sample properties of pre-test estimators of spatial models Gianfranco Piras∗ Ingmar R. Prucha†

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Source URL: rri.wvu.edu

Language: English - Date: 2013-10-02 12:09:44
24RMM Vol. 2, 2011, 146–178 Special Topic: Statistical Science and Philosophy of Science Edited by Deborah G. Mayo, Aris Spanos and Kent W. Staley http://www.rmm-journal.de/  Aris Spanos

RMM Vol. 2, 2011, 146–178 Special Topic: Statistical Science and Philosophy of Science Edited by Deborah G. Mayo, Aris Spanos and Kent W. Staley http://www.rmm-journal.de/ Aris Spanos

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Source URL: www.rmm-journal.com

Language: English - Date: 2011-10-27 11:24:50
25Leverage scores Petros Drineas Rensselaer Polytechnic Institute Computer Science Department  To access my web page:

Leverage scores Petros Drineas Rensselaer Polytechnic Institute Computer Science Department To access my web page:

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Source URL: mmds-data.org

Language: English - Date: 2016-03-09 01:29:55
26Chapter 5 Local Regress ion Trees In this chapter we explore the hypothesis of improving the accuracy of regression trees by using smoother models at the tree leaves. Our proposal consists of using local regression model

Chapter 5 Local Regress ion Trees In this chapter we explore the hypothesis of improving the accuracy of regression trees by using smoother models at the tree leaves. Our proposal consists of using local regression model

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Source URL: www.dcc.fc.up.pt

Language: English - Date: 2012-12-13 10:18:43
27INFERENCE IN HIGH DIMENSIONAL PANEL MODELS WITH AN APPLICATION TO GUN CONTROL arXiv:1411.6507v1 [stat.ME] 24 NovALEXANDRE BELLONI, VICTOR CHERNOZHUKOV, CHRISTIAN HANSEN, AND DAMIAN KOZBUR

INFERENCE IN HIGH DIMENSIONAL PANEL MODELS WITH AN APPLICATION TO GUN CONTROL arXiv:1411.6507v1 [stat.ME] 24 NovALEXANDRE BELLONI, VICTOR CHERNOZHUKOV, CHRISTIAN HANSEN, AND DAMIAN KOZBUR

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Source URL: arxiv.org

Language: English - Date: 2014-11-24 20:40:16
28Microsoft Word - InternetAppendix_Final.docx

Microsoft Word - InternetAppendix_Final.docx

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Source URL: www3.nd.edu

Language: English - Date: 2011-03-18 15:04:06
29OPTIMAL PREDICTORS FOR THE DATA COMPRESSION OF DIGITAL  ELEVATION MODELS USING THE METHOD OF LAGRANGE MULTIPLIERS .

OPTIMAL PREDICTORS FOR THE DATA COMPRESSION OF DIGITAL ELEVATION MODELS USING THE METHOD OF LAGRANGE MULTIPLIERS .

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Source URL: mapcontext.com

Language: English - Date: 2008-08-29 22:13:05
30Value–at–Risk Prediction: A Comparison of Alternative Strategies∗ Keith Kuestera a Stefan Mittnikb c d †

Value–at–Risk Prediction: A Comparison of Alternative Strategies∗ Keith Kuestera a Stefan Mittnikb c d †

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Source URL: www.keithkuester.eu

Language: English - Date: 2007-10-14 06:50:06