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Statistical data
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#	Item
381	Beyond Reinforcement Learning and Local View in Multiagent Systems Ana L. C. Bazzan KI - Künstliche Intelligenz Add to Reading List Source URL: www.inf.ufrgs.br Language: English - Date: 2014-07-30 07:23:22 Machine learning Multi-agent systems Data mining Formal sciences Artificial intelligence Cluster analysis Reinforcement learning Agent-based model Statistical classification Software agent Swarm intelligence K-means clustering
382	On Nesting Location Choice Models Correctly: A Reply to Herger and McCorriston (Economics Letters, 2013)∗ Kurt Schmidheiny‡ Marius Br¨ Add to Reading List Source URL: kurt.schmidheiny.name Language: English - Date: 2015-03-04 02:48:53 Statistical models Regression analysis Categorical data Logit Discrete choice Logistic regression
383	Variance estimation for NAEP data using a comprehensive resampling-based approach: An application of cognitive diagnostic models1 Chueh-an Hsieh Michigan State University, East Lansing, Michigan, United States of America Add to Reading List Source URL: ierinstitute.org Language: English - Date: 2012-01-04 07:01:18 Statistical inference Psychometrics Statistical models National Assessment of Educational Progress United States Department of Education Item response theory Econometrics Rasch model Resampling Statistics Educational Testing Service Bootstrapping
384	Journal of Monetary Economics–546 Monetary policy in a data-rich environment$ Ben S. Bernankea,, Jean Boivinb b Add to Reading List Source URL: faculty.wcas.northwestern.edu Language: English* - Date: 2007-05-02 09:21:05 Economic forecasting Time series models Econometrics Statistical forecasting Greenbook Forecasting Autoregressive model Forecast error Macroeconomics Macroeconomic model Vector autoregression Economic data
385	Tutorial: Using the R Environment for Statistical Computing An example with the Mercer & Hall wheat yield dataset D G Rossiter University of Twente, Faculty of Geo-Information Science & Earth Observation (ITC) Add to Reading List Source URL: www.css.cornell.edu Language: English - Date: 2015-10-21 13:33:25 Statistical theory Regression analysis Econometrics Actuarial science Multivariate statistics R Data analysis Principal component analysis Errors and residuals Spatial analysis Linear regression Bootstrapping
386	Q. J. R. Meteorol. Soc), 128, pp. 2145–2166 Areas beneath the relative operating characteristics (ROC) and relative operating levels (ROL) curves: Statistical signi cance and interpretation By S. J. MASON¤ a Add to Reading List Source URL: www.inmet.gov.br Language: English - Date: 2007-11-06 18:33:00 Biostatistics Weather forecasting Statistical forecasting Data mining Receiver operating characteristic Statistical classification Forecast skill MannWhitney U test Taiwan Probability distribution Detection theory Roc
387	Package ‘edgeR’ August 11, 2016 VersionDateTitle Empirical Analysis of Digital Gene Expression Data in R Description Differential expression analysis of RNA-seq expression profiles with biological Add to Reading List Source URL: bioconductor.org Language: English - Date: 2016-08-18 17:15:09 Regression analysis Actuarial science Statistical models Gene expression Linear algebra Generalized linear model Matrix Deviance Euclidean vector RNA-Seq Probability distribution J
388	Microsoft Word - E-C20Integration of Geospatial, Statistical and Other Related Information.doc Add to Reading List Source URL: ggim.un.org Language: English - Date: 2016-07-15 08:45:45 Geographic data and information System of Integrated Environmental and Economic Accounting United Nations Statistics Division Geospatial Official statistics Open Geospatial Consortium
389	Pitfalls in Benchmarking Data Stream Classification and How to Avoid Them ˇ Albert Bifet1 , Jesse Read2 , Indr˙e Zliobait˙ e3 , Bernhard Pfahringer4 , and Geoff Holmes4 1 Add to Reading List Source URL: perso.telecom-paristech.fr Language: English Statistical classification Naive Bayes classifier Bayes classifier Support vector machine Classifier Multiclass classification Concept drift Massive Online Analysis Binary classification Classifier chains Nearest neighbour classifiers
390	False discovery rate control is not always a replacement for Bonferroni adjustment (Letter commenting on: J Clin Epidemiol. 2014;67:850-7) Add to Reading List Source URL: www.glicko.net Language: English - Date: 2015-12-17 13:00:43 Hypothesis testing Multiple comparisons Family-wise error rate False discovery rate Multiple comparisons problem Bonferroni correction False positive rate P-value Statistical power Statistical hypothesis testing Type I and type II errors Data analysis

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