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Mixed data sampling
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1	A Method for Handling Data that Exhibit Mixed Spatial Variation Bheshem Ramlal Assistant Lecturer, Department of Surveying and Land Information, The University of the West Indies, St. Augustine, Trinidad, West Indies, bh Add to Reading List Source URL: mapcontext.com Language: English - Date: 2008-08-29 22:27:56 Geostatistics Data Interpolation Statistics Information Variogram Cartography Kriging Spatial analysis Sampling Regression-Kriging Mineral resource estimation
2	Differential survey strategies based on R-indicators. A mixed mode pilot at Statistics Netherlands Annemieke Luiten and Willem Wetzels Add to Reading List Source URL: www.risq-project.eu Language: English - Date: 2010-05-03 05:43:14 Geography of Europe Helsinki Propensity probability Computer-assisted telephone interviewing Sampling Europe Knowledge Data collection Survey methodology Epistemology
3	0.1 factor.mix: Mixed Data Factor Analysis Mixed data factor analysis takes both continuous and ordinal dependent variables and estimates a model for a given number of latent factors. The model is estimated using a Mark Add to Reading List Source URL: perso.md2t.eu Language: English - Date: 2011-03-08 17:52:46 Markov models Markov processes Multivariate statistics Abstract algebra Linear algebra Markov chain Factor analysis Gibbs sampling Matrix Statistics Algebra Mathematics
4	BOFIT Discussion Papers 13 • 2015 Heiner Mikosch and Stefan Neuwirth Real-time forecasting with a Add to Reading List Source URL: www.suomenpankki.fi Language: English - Date: 2015-04-13 07:20:29 Time series analysis Econometric models Estimation theory Mixed data sampling Vector autoregression Distributed lag Linear regression Least squares Kalman filter Statistics Econometrics Regression analysis
5	Multilingual Questionnaire Evaluation and Development through Mixed Pretesting Methods: The Case of the U.S. Census Nonresponse Followup Instrument1 Jennifer Childs2 and Patricia Goerman U.S. Census Bureau Add to Reading List Source URL: www.csdiworkshop.org Language: English - Date: 2013-05-10 15:17:08 Evaluation methods Survey methodology Methodology Sampling Data collection Questionnaire Usability Interview United States Census Research methods Statistics Science
6	Chapter 2 Models With Multiple Random-effects Terms The mixed models considered in the previous chapter had only one randomeffects term, which was a simple, scalar random-effects term, and a single Add to Reading List Source URL: lme4.r-forge.r-project.org Language: English - Date: 2010-02-17 16:30:25 Regression analysis Estimation theory Design of experiments Sampling Restricted randomization Fixed effects model Mixed model Normal distribution Variance Statistics Analysis of variance Data analysis
7	Working paper No. 5 NovemberAgricultural Commodity Price Volatility and Its Add to Reading List Source URL: www.fp7-ulysses.eu Language: English - Date: 2013-11-13 03:51:01 Econometrics Time series analysis Financial economics Options Stochastic volatility Autoregressive conditional heteroskedasticity Volatility Mixed data sampling Beta Mathematical finance Statistics Economics
8	2013 \| 06 Working Paper Norges Bank Research A survey of econometric methods for mixedfrequency data Add to Reading List Source URL: www.norges-bank.no Language: English - Date: 2013-02-07 06:30:16 Econometric models Regression analysis Statistical forecasting Mixed data sampling Eric Ghysels Vector autoregression Distributed lag Macroeconomic model Linear regression Statistics Econometrics Time series analysis
9	Finance and Economics Discussion Series Divisions of Research & Statistics and Monetary Affairs Federal Reserve Board, Washington, D.C. Mode effects in mixed-mode economic surveys: Insights from a randomized experiment Add to Reading List Source URL: federalreserve.gov Language: English - Date: 2015-02-19 12:15:40 Research methods Data collection Methodology Sampling Evaluation methods Mode effect Response rate Questionnaire Non-response bias Statistics Survey methodology Science
10	w ork i ng pap ers 1 \| 2014 AUTOREGRESSIVE AUGMENTATION OF MIDAS REGRESSIONS Add to Reading List Source URL: www.bportugal.pt Language: English - Date: 2014-05-22 12:33:39 Econometric models Noise Autoregressive model Distributed lag Autoregressive conditional heteroskedasticity Mixed data sampling Statistics Time series analysis Econometrics

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