Theory of imputation

Results: 86



#Item
11The Best Stratification to Impute Missing Values of Turnover in Economic Surveys Takayuki Ito* National Statistics Center, Tokyo, Japan  Yutaka Abe National Statistics Center, Tokyo, Japan yabe3@nstac.

The Best Stratification to Impute Missing Values of Turnover in Economic Surveys Takayuki Ito* National Statistics Center, Tokyo, Japan Yutaka Abe National Statistics Center, Tokyo, Japan yabe3@nstac.

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Source URL: www.statistics.gov.hk

Language: English - Date: 2013-08-22 04:39:11
129 MULTIPLE IMPUTATION OF INCOMPLETE CATEGORICAL DATA USING LATENT CLASS ANALYSIS Jeroen K. Vermunt*

9 MULTIPLE IMPUTATION OF INCOMPLETE CATEGORICAL DATA USING LATENT CLASS ANALYSIS Jeroen K. Vermunt*

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Source URL: statisticalinnovations.com

Language: English - Date: 2008-10-27 13:09:12
13Introduction  Single imputation Multiple imputation

Introduction Single imputation Multiple imputation

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Source URL: math.agrocampus-ouest.fr

Language: English - Date: 2015-04-13 03:37:35
14Business Finance in New Zealand[removed]Chapter 11 Technical Notes This chapter provides a technical description of the data that has been used to compile this report. It

Business Finance in New Zealand[removed]Chapter 11 Technical Notes This chapter provides a technical description of the data that has been used to compile this report. It

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Source URL: www.stats.govt.nz

Language: English - Date: 2011-10-26 18:51:26
15Online Appendix for An Empirical Evaluation of Explanations for State Repression∗ Daniel W. Hill, Jr.† and Zachary M. Jones‡ Stability of Random Forest Results The random forest algorithm used has two main tuning p

Online Appendix for An Empirical Evaluation of Explanations for State Repression∗ Daniel W. Hill, Jr.† and Zachary M. Jones‡ Stability of Random Forest Results The random forest algorithm used has two main tuning p

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Source URL: zmjones.com

Language: English - Date: 2015-04-02 22:01:06
16Broad Issues of Editing And Imputation For Population Censuses  DRAFT Mike Bankier Social Survey Methods Division

Broad Issues of Editing And Imputation For Population Censuses DRAFT Mike Bankier Social Survey Methods Division

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Source URL: www.s3ri.soton.ac.uk

Language: English - Date: 2007-09-08 12:35:15
17Committee for the Coordination of Statistical Activities Conference on Data Quality for International Organizations Rome, Italy, 7 and 8 July 2008 Session 4: Best practices in imputation and estimation  Imputation in UNE

Committee for the Coordination of Statistical Activities Conference on Data Quality for International Organizations Rome, Italy, 7 and 8 July 2008 Session 4: Best practices in imputation and estimation Imputation in UNE

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Source URL: unstats.un.org

Language: English - Date: 2008-06-26 10:47:40
18A comparison of two methods for imputing missing income from household travel survey data A comparison of two methods for imputing missing income from household travel survey data Min Xu , Michael Taylor and Anthea Page

A comparison of two methods for imputing missing income from household travel survey data A comparison of two methods for imputing missing income from household travel survey data Min Xu , Michael Taylor and Anthea Page

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Source URL: www.atrf.info

Language: English - Date: 2002-09-27 12:33:42
19Title: Proper Handling of Missing Data: An Overview and Brief Tutorial Abstract/summary: Whether missing data are present or not, the goal of a statistical model is to obtain valid and efficient estimates of population p

Title: Proper Handling of Missing Data: An Overview and Brief Tutorial Abstract/summary: Whether missing data are present or not, the goal of a statistical model is to obtain valid and efficient estimates of population p

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Source URL: www.apa.org

Language: English - Date: 2015-03-03 10:01:51
20Microsoft Word - Beggs and Skeels update 5.02 stc.doc

Microsoft Word - Beggs and Skeels update 5.02 stc.doc

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Source URL: www.aer.gov.au

Language: English - Date: 2012-08-27 17:56:57