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Regression analysis
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#	Item
401	Mapping Annual Precipitation across Mainland China in the Period 2001–2010 from TRMM3B43 Product Using Spatial Downscaling Approach Add to Reading List Source URL: sites.bu.edu Language: English - Date: 2015-05-25 13:33:46 Regression analysis Econometrics Downscaling Normalized Difference Vegetation Index Precipitation Geostatistics Tropical Rainfall Measuring Mission Rain Linear regression Hydrology Spatial analysis Nonparametric regression
402	Citation Prediction Using Diverse Features Harish S. Bhat, Li-Hsuan Huang, Sebastian Rodriguez Rick Dale, Evan Heit† Applied Mathematics Unit Add to Reading List Source URL: cognaction.org Language: English - Date: 2015-09-24 00:17:08 Model selection Regression analysis Machine learning Academic publishing Information theory Akaike information criterion Entropy Cross-validation Linear regression Boosting Citation impact Support vector machine
403	Computation-Risk Tradeoffs for Covariance-Thresholded Regression Dinah Shender∗ Add to Reading List Source URL: jmlr.org Language: English - Date: 2013-08-14 01:36:44 Multivariate statistics Sparse PCA Principal component analysis
404	Discrete mixtures of GEV models Stephane Hess, Imperial College London & RAND Europe Michel Bierlaire, EPFL John W. Polak, Imperial College London Conference paper STRC 2005 Add to Reading List Source URL: www.idep.eco.usi.ch Language: English - Date: 2012-01-04 14:50:59 Statistical models Regression analysis Choice modelling Discrete choice Mode choice Mixed logit Probability distribution Multinomial logistic regression Logistic regression Likelihood function Mixture model Gibbs sampling
405	Exploring spatial methods for prediction of traffic volumes Georgios Sarlas, IVT, ETH – Zürich Kay W. Axhausen, IVT, ETH – Zürich Conference paper STRC 2016 Add to Reading List Source URL: www.strc.ch Language: English - Date: 2016-06-11 05:09:14 Geostatistics Graph theory Networks Econometrics Network theory Spatial analysis Centrality Kriging Regression analysis Spatial dependence Linear regression Variogram
406	More information on R functions arraymax: find the maximum value in an array and the associated dim names. Any NAs in the array are ignored. This function calls the function dnelement which the user must create (source Add to Reading List Source URL: fluke.vims.edu Language: English - Date: 2010-07-29 15:13:40 Vectors Summary statistics Covariance and correlation Estimation theory Regression analysis Variance Sample mean and covariance Ellipse Expected value Euclidean vector Vector space Matrix
407	STATISTICS IN MEDICINE Statist. Med. 2006; 25:127–141 Published online 11 October 2005 in Wiley InterScience (www.interscience.wiley.com). DOI: sim.2331 Dichotomizing continuous predictors in multiple regressio Add to Reading List Source URL: www-psychology.concordia.ca Language: English - Date: 2009-12-13 14:55:14 Design of experiments Regression analysis Analysis of variance Econometrics Interaction Categorical variable Dependent and independent variables Multivariate statistics Confounding
408	Journal of Hydrology–129 www.elsevier.com/locate/jhydrol Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall P. Goovaerts* Add to Reading List Source URL: www.geog.ucsb.edu Language: English - Date: 2005-02-02 12:43:54 Geostatistics Interpolation Spatial data analysis Econometrics Actuarial science Kriging Variogram Multivariate interpolation Spatial dependence Regression analysis Covariance function Linear regression
409	Robust Jump Regressions∗ Jia Li† Viktor Todorov‡ George Tauchen§ Add to Reading List Source URL: www.cb.cityu.edu.hk Language: English - Date: 2016-07-08 02:31:54 Regression analysis Statistical theory Estimation theory Econometrics Parametric statistics Linear regression Robust statistics M-estimator Estimator T-statistic Asymptotic theory Errors and residuals
410	Learning Conditional Random Fields for Stereo Daniel Scharstein Middlebury College Middlebury, VT, USA Chris Pal Add to Reading List Source URL: www.cs.middlebury.edu Language: English - Date: 2007-06-15 21:08:12 Machine learning Graphical models Conditional random field Stereoscopy Vision Image segmentation Markov random field Mixture model Supervised learning Stereopsis Regression analysis

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