Error analysis - PDFSEARCH.IO - Document Search Engine

Error analysis
Results: 2036

#	Item
361	User guide for the 2013 Te Kupenga confidentialised unit record file Crown copyright © This work is licensed under the Creative Commons Attribution 3.0 New Zealand licence. You are free to copy, distribute, and adapt t Add to Reading List Source URL: www.stats.govt.nz Language: English - Date: 2014-07-29 23:04:24 Censuses Sampling Regression analysis Statistics New Zealand Microdata Linear regression Standard error Variance Statistics Econometrics Survey methodology
362	Stat 100 Learning Objectives Data Collection and Surveys A. Students can identify the population of interest, parameter, sample and statistics from a study. B. Distinguish between an observational study and an experimen Add to Reading List Source URL: stat.psu.edu Language: English - Date: 2014-08-25 08:13:21 Statistical inference Regression analysis Parametric statistics Standard error Confidence interval Correlation and dependence Sample size determination Linear regression Margin of error Statistics Econometrics Measurement
363	Limitations of MLLR Adaptation with Spanish-Accented English: An Error Analysis Constance Clarke1,2 and Dan Jurafsky2 1 Department of Psychology, University at Buffalo SUNY, Buffalo, NY, USA Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2011-11-11 22:19:17 Phonology Computational linguistics Speech recognition Automatic identification and data capture Phoneme Allophone Spanish language Voice Vowel Linguistics Phonetics Languages of North America
364	Microsoft PowerPoint - complex_functions_v02.pptx Add to Reading List Source URL: www.open-std.org Language: English - Date: 2013-04-22 00:06:39 Software engineering Cross-platform software C99 ISO/IEC JTC1/SC22 C Gamma function ISO/IEC JTC1 International Organization for Standardization Error function Mathematical analysis Computing C programming language
365	The link between unemployment and inflation using Johansen’s co-integration approach and vector error correction modelling Sagaren Pillay* Statistics South Africa, Pretoria, South Africa In this Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:11 Macroeconomics Price indices Unemployment Inflation Error correction model Cointegration Forecasting Macroeconomic model Economic model Economics Statistics Time series analysis
366	Mutual Monitoring in Teams: Theory and Experimental Evidence on the Importance of Reciprocity Add to Reading List Source URL: ftp.iza.org Language: English - Date: 2006-04-28 08:10:53 Measurement Regression analysis Statistical theory Reciprocity Statistics Error Errors and residuals in statistics
367	Issues surrounding Markov Latent Class Analysis for Assessing Measurement Error in Complex Surveys: A Case Study Using the National Crime Victimization Survey Marcus Berzofsky1 and Paul P. Biemer1,2 1 RTI International, Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:21 Social psychology Econometrics Statistical models Criminology Psychometrics National Crime Victimization Survey Latent variable Victimisation Panel analysis Statistics Science Information
368	A Post-Aggregation Error Record Extraction Based on Naive Bayes for Statistical Survey Enumeration Kiyomi Shirakawa, National Statistics Center, Tokyo, JAPAN e-mail: Abstract At the pre-aggregation Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:17 Estimation theory Statistical theory Data analysis Outlier Naive Bayes classifier Robust regression Quartile Linear regression Bayesian spam filtering Statistics Regression analysis Robust statistics
369	1978, 29, JOURNAL OF THE EXPERIMENTAL ANALYSIS OF BEHAVIOR NUMBER I Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Data analysis Summary statistics Psychometrics Absolute deviation Errors and residuals in statistics Statistical power Asymptote Standard deviation Standard error Statistics Hypothesis testing Regression analysis
370	BOUNDED CONDITIONAL MEAN IMPUTATION WITH GAUSSIAN MIXTURE MODELS: A RECONSTRUCTION APPROACH TO PARTLY OCCLUDED FEATURES Friedrich Faubel, John McDonough, Dietrich Klakow Spoken Language Systems, Saarland University, D-66 Add to Reading List Source URL: wiki.inf.ed.ac.uk Language: English - Date: 2009-05-12 13:23:44 Normal distribution Multivariate normal distribution Variance Mean squared error Covariance matrix Statistics Data analysis Estimation theory

UPDATE