Missing data

Results: 1627



#Item
21Ann Inst Stat Math:855–876 DOIs10463y Competing risks data analysis under the accelerated failure time model with missing cause of failure Ming Zheng · Renxin Lin · Wen Yu

Ann Inst Stat Math:855–876 DOIs10463y Competing risks data analysis under the accelerated failure time model with missing cause of failure Ming Zheng · Renxin Lin · Wen Yu

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Source URL: www.ism.ac.jp

Language: English - Date: 2016-08-02 06:58:14
22Version: Essential Ocean Variable (EOV): Inorganic Macronutrients Background and Justification We are missing an introductory text here (Ishii and Kriest, cc Aoyama)

Version: Essential Ocean Variable (EOV): Inorganic Macronutrients Background and Justification We are missing an introductory text here (Ishii and Kriest, cc Aoyama)

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Source URL: www.ioccp.org

Language: English - Date: 2016-06-20 08:16:15
23FAQ: UDS REPORTING ON SO/GI Because sexual orientation and gender identity (SO/GI) are new Uniform Data System (UDS) elements, health centers will have questions about what to do with missing data, among other issues. Th

FAQ: UDS REPORTING ON SO/GI Because sexual orientation and gender identity (SO/GI) are new Uniform Data System (UDS) elements, health centers will have questions about what to do with missing data, among other issues. Th

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Source URL: www.lgbthealtheducation.org

Language: English - Date: 2016-07-05 15:23:37
24I present a new similarity score, based on a statistical model, that is useful for clustering problems with high missing data rates and discrete data values. In settings that range from genomics to recommender systems, I

I present a new similarity score, based on a statistical model, that is useful for clustering problems with high missing data rates and discrete data values. In settings that range from genomics to recommender systems, I

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Source URL: mmds-data.org

Language: English - Date: 2016-06-23 15:50:48
25Microsoft Word - anes_pilot_2016_CodebookUserGuide.docx

Microsoft Word - anes_pilot_2016_CodebookUserGuide.docx

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Source URL: electionstudies.org

Language: English - Date: 2016-03-10 11:49:45
26The 2012 ICSI/Berkeley Video Location Estimation System Jaeyoung Choi, Gerald Friedland International Computer Science Institute 1947 Center St., Suite 600 Berkeley, CA 94704, USA

The 2012 ICSI/Berkeley Video Location Estimation System Jaeyoung Choi, Gerald Friedland International Computer Science Institute 1947 Center St., Suite 600 Berkeley, CA 94704, USA

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Source URL: ceur-ws.org

Language: English - Date: 2012-10-02 11:32:14
27ENCR-JRC Call for Data, 2015  June 2015, version 1.1 ENCR-JRC CALL FOR DATA

ENCR-JRC Call for Data, 2015 June 2015, version 1.1 ENCR-JRC CALL FOR DATA

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Source URL: encr.eu

Language: English - Date: 2015-07-10 05:46:47
281606  IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 35,

1606 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 35,

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Source URL: eceweb.ucsd.edu

Language: English - Date: 2015-07-31 19:00:24
29CS 3750 Machine Learning  Latent variable models Variational approximations. Milos Hauskrecht

CS 3750 Machine Learning Latent variable models Variational approximations. Milos Hauskrecht

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Source URL: people.cs.pitt.edu

Language: English - Date: 2014-10-25 10:58:54
30P267-25  Multiple Imputation for Missing Data: Concepts and New Development Yang C. Yuan, SAS Institute Inc., Rockville, MD Abstract

P267-25 Multiple Imputation for Missing Data: Concepts and New Development Yang C. Yuan, SAS Institute Inc., Rockville, MD Abstract

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Source URL: www.ats.ucla.edu

Language: English - Date: 2016-08-17 18:18:26