Missing data

Results: 1627



#Item
201Missing data / Regression analysis / Data analysis / Expectation–maximization algorithm / Normal distribution / Multivariate normal distribution / Maximum likelihood / Linear regression / Imputation / Statistics / Estimation theory / Econometrics

Journal of Machine Learning Research1928 Submitted 5/10; Revised 1/14; Published 6/14 Pattern Alternating Maximization Algorithm for Missing Data in High-Dimensional Problems

Add to Reading List

Source URL: jmlr.org

Language: English - Date: 2014-07-08 13:46:46
202Money / Finance / Monetary economics / Banking / William A. Barnett / Year of birth missing / Federal funds rate / Federal Reserve System / Monetary policy / Economics / Macroeconomics / Federal Reserve

CENTER FOR FINANCIAL STABILITY Dialog Insight Solutions HIGHLIGHTS BASED ON DATA RELEASED AT 9:00 A.M. EST, JANUARY 16, 2013

Add to Reading List

Source URL: centerforfinancialstability.org

Language: English - Date: 2013-01-16 08:50:36
203Environmental data / United States federal executive departments / National Ocean Service / Under Secretary of Commerce for Oceans and Atmosphere / Year of birth missing / National Marine Fisheries Service / Jonathan W. Bailey / Samuel P. De Bow /  Jr. / United States Department of Commerce / National Oceanic and Atmospheric Administration / Office of Oceanic and Atmospheric Research

Microsoft PowerPoint - FY07 BACK cover- FINAL.ppt

Add to Reading List

Source URL: www.corporateservices.noaa.gov

Language: English - Date: 2012-03-13 15:43:23
204Learning / Tutor / Intelligent tutoring system / Distance education / Online tutoring / Year of birth missing / Education / Teaching / Educational psychology

TalkBank Tutorial Database Guide This guide provides documentation regarding the Tutorial Interactions corpora in the TalkBank database. TalkBank is an international system for the exchange of data on spoken language in

Add to Reading List

Source URL: www.talkbank.org

Language: English - Date: 2013-01-22 11:53:32
205Frequency modulation / Ravensara aromatica / Delta L problem

Model-based methods for missing data in surveys with post-stratification information Sahar Z Zangeneh1 and Roderick J.A. Little2 1 Fred Hutchinson Cancer Research Center, Seattle WA, U.S.A. 2 Department of Biostatistics,

Add to Reading List

Source URL: www.statistics.gov.hk

Language: English - Date: 2013-08-22 04:39:12
206Data / Database / Database theory / Data quality / Form / Extensible Storage Engine / Database management systems / Computing / Information

DAMS: Resolving Missing Information

Add to Reading List

Source URL: www.wmpho.org.uk

Language: English - Date: 2012-06-01 11:08:00
207National Oceanic and Atmospheric Administration / Economy of the United States / NOAAS Thomas Jefferson / Hydrographic survey / Philip M. Kenul / Richard R. Behn / United States Department of Commerce / Year of birth missing / Environmental data

Microsoft Word - OMAO_OnePager_Feb7.doc

Add to Reading List

Source URL: www.corporateservices.noaa.gov

Language: English - Date: 2011-02-16 09:14:42
208United States federal budget / Economy of the United States / Year of birth missing / Environment / Philip M. Kenul / Office of Oceanic and Atmospheric Research / Environmental data / National Oceanic and Atmospheric Administration / United States Department of Commerce

Microsoft Word - PSasLO_OnePage_Feb7.doc

Add to Reading List

Source URL: www.corporateservices.noaa.gov

Language: English - Date: 2011-02-16 09:14:42
209Markov models / Computational statistics / Imputation / Monte Carlo methods / Markov chain Monte Carlo / Expectation–maximization algorithm / Markov chain / Bootstrapping / SPSS / Statistics / Data analysis / Missing data

Multiple Imputation of Missing Values in Economic Surveys: Comparison of Competing Algorithms Masayoshi Takahashi* National Statistics Center, Tokyo, Japan Takayuki Ito National Statistics Center,

Add to Reading List

Source URL: www.statistics.gov.hk

Language: English - Date: 2013-08-22 04:38:58
210Survey methodology / Hypothesis testing / Statistical inference / Imputation / Census / Data set / Official statistics / Missing data / Statistical hypothesis testing / Statistics / Data analysis / Demography

A Bayesian method for deriving population statistics from multiple imperfect data sources John Bryant and Patrick Graham∗ Statistics New Zealand, Christchurch, NZ Corresponding author: John Bryant, email: john.bryant@s

Add to Reading List

Source URL: www.statistics.gov.hk

Language: English - Date: 2013-08-22 04:39:19
UPDATE