Regression analysis

Results: 10951



#Item
41INSTRUMENTAL VARIABLES ESTIMATION WITH MANY WEAK INSTRUMENTS USING REGULARIZED JIVE CHRISTIAN HANSEN AND DAMIAN KOZBUR Abstract. We consider instrumental variables regression in models where the number of available instr

INSTRUMENTAL VARIABLES ESTIMATION WITH MANY WEAK INSTRUMENTS USING REGULARIZED JIVE CHRISTIAN HANSEN AND DAMIAN KOZBUR Abstract. We consider instrumental variables regression in models where the number of available instr

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Source URL: www.n.ethz.ch

Language: English - Date: 2013-10-06 16:12:54
42Fast Process Variation Analysis in Nano-Scaled Technologies Using Column-Wise Sparse Parameter Selection Hassan Ghasemzadeh Mohammadi∗ , Pierre-Emmanuel Gaillardon∗ , Majid Yazdani† , Giovanni De Micheli∗ Integra

Fast Process Variation Analysis in Nano-Scaled Technologies Using Column-Wise Sparse Parameter Selection Hassan Ghasemzadeh Mohammadi∗ , Pierre-Emmanuel Gaillardon∗ , Majid Yazdani† , Giovanni De Micheli∗ Integra

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Source URL: majid.yazdani.me

Language: English - Date: 2015-08-19 06:57:43
43Department of Public Health University of Copenhagen Advanced Epidemiology and Biostatistics Fall 2016

Department of Public Health University of Copenhagen Advanced Epidemiology and Biostatistics Fall 2016

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Source URL: mph.ku.dk

Language: English - Date: 2016-05-03 06:59:32
44CSIRO PUBLISHING  www.publish.csiro.au/journals/ajsr Australian Journal of Soil Research, 2003, 41, 1403–1422

CSIRO PUBLISHING www.publish.csiro.au/journals/ajsr Australian Journal of Soil Research, 2003, 41, 1403–1422

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Source URL: www.css.cornell.edu

Language: English - Date: 2015-10-21 13:33:05
45Understanding spatial nonstationarity in the influence of topography and vegetation on patterns of snow depth and snow water equivalent (SWE) can improve distributed SWE models, improve river runoff forecasts, and guide

Understanding spatial nonstationarity in the influence of topography and vegetation on patterns of snow depth and snow water equivalent (SWE) can improve distributed SWE models, improve river runoff forecasts, and guide

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Source URL: mmds-data.org

Language: English - Date: 2016-06-23 15:50:48
46Market Share Rewards to Pioneering Brands: An Empirical Analysis and Strategic Implications Glen L. Urban; Theresa Carter; Steven Gaskin; Zofia Mucha Management Science, Vol. 32, No. 6. (Jun., 1986), ppStable

Market Share Rewards to Pioneering Brands: An Empirical Analysis and Strategic Implications Glen L. Urban; Theresa Carter; Steven Gaskin; Zofia Mucha Management Science, Vol. 32, No. 6. (Jun., 1986), ppStable

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Source URL: ebusiness.mit.edu

Language: English - Date: 2007-10-21 15:50:25
47CENTER FOR LABOR ECONOMICS UNIVERSITY OF CALIFORNIA, BERKELEY WORKING PAPER NO. 35 Do Electoral Cycles in Police Hiring Really Help Us Estimate the Effect of Police on Crime?

CENTER FOR LABOR ECONOMICS UNIVERSITY OF CALIFORNIA, BERKELEY WORKING PAPER NO. 35 Do Electoral Cycles in Police Hiring Really Help Us Estimate the Effect of Police on Crime?

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Source URL: cle.berkeley.edu

Language: English - Date: 2001-09-11 13:34:20
48Evaluating Problem Difficulty Rankings Using Sparse Student Response Data Ari BADER-NATAL 1 , Jordan POLLACK DEMO Lab, Brandeis University Abstract. Problem difficulty estimates play important roles in a wide variety of

Evaluating Problem Difficulty Rankings Using Sparse Student Response Data Ari BADER-NATAL 1 , Jordan POLLACK DEMO Lab, Brandeis University Abstract. Problem difficulty estimates play important roles in a wide variety of

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Source URL: aribadernatal.com

Language: English - Date: 2016-06-29 00:36:46
49Evolutionary Ecology Research, 1999, 1: 895–909  A method for testing the assumption of phylogenetic independence in comparative data Ehab Abouheif* Department of Ecology and Evolution, State University of New York at

Evolutionary Ecology Research, 1999, 1: 895–909 A method for testing the assumption of phylogenetic independence in comparative data Ehab Abouheif* Department of Ecology and Evolution, State University of New York at

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Source URL: biology.mcgill.ca

Language: English - Date: 2014-06-10 10:16:38
50A State-Space Model for National Football League Scores Mark E. GLICKMANand Hal S. STERN This articledevelopsa predictivemodel forNationalFootballLeague (NFL) game scoresusingdata fromtheperiodThe parameterso

A State-Space Model for National Football League Scores Mark E. GLICKMANand Hal S. STERN This articledevelopsa predictivemodel forNationalFootballLeague (NFL) game scoresusingdata fromtheperiodThe parameterso

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Source URL: www.glicko.net

Language: English - Date: 2014-01-31 20:50:46