11![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. 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.](https://www.pdfsearch.io/img/d620b34340c6e401279ba6ae5516187f.jpg) | Add to Reading ListSource URL: www.statistics.gov.hkLanguage: English - Date: 2013-08-22 04:39:11
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12![9 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*](https://www.pdfsearch.io/img/bd572dde3f8c75f626106122cf519dca.jpg) | Add to Reading ListSource URL: statisticalinnovations.comLanguage: English - Date: 2008-10-27 13:09:12
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13![Introduction Single imputation Multiple imputation Introduction Single imputation Multiple imputation](https://www.pdfsearch.io/img/0dc758cebfe414ae0d93e2ee96d958b3.jpg) | Add to Reading ListSource URL: math.agrocampus-ouest.frLanguage: English - Date: 2015-04-13 03:37:35
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14![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 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](https://www.pdfsearch.io/img/60c59c91d5032381b7531e8d88e78bbd.jpg) | Add to Reading ListSource URL: www.stats.govt.nzLanguage: English - Date: 2011-10-26 18:51:26
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15![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 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](https://www.pdfsearch.io/img/e8dea228523229151098d4d3b52d1559.jpg) | Add to Reading ListSource URL: zmjones.comLanguage: English - Date: 2015-04-02 22:01:06
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16![Broad 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](https://www.pdfsearch.io/img/9760e7053d6719760bb0c12fdc3f9a77.jpg) | Add to Reading ListSource URL: www.s3ri.soton.ac.ukLanguage: English - Date: 2007-09-08 12:35:15
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17![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 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](https://www.pdfsearch.io/img/f2d406f1db17b75d56a129683e843a72.jpg) | Add to Reading ListSource URL: unstats.un.orgLanguage: English - Date: 2008-06-26 10:47:40
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18![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 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](https://www.pdfsearch.io/img/4395e7a176c700344c0b32e1b7108593.jpg) | Add to Reading ListSource URL: www.atrf.infoLanguage: English - Date: 2002-09-27 12:33:42
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19![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 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](https://www.pdfsearch.io/img/857ee75838c7ccd227de831f42768260.jpg) | Add to Reading ListSource URL: www.apa.orgLanguage: English - Date: 2015-03-03 10:01:51
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20![Microsoft Word - Beggs and Skeels update 5.02 stc.doc Microsoft Word - Beggs and Skeels update 5.02 stc.doc](https://www.pdfsearch.io/img/169a7f10906175c161db574530f84aeb.jpg) | Add to Reading ListSource URL: www.aer.gov.auLanguage: English - Date: 2012-08-27 17:56:57
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