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Generalized linear model
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231	Proceedings of ALGORITMY 2002 Conference on Scientific Computing, pp. 268–275 3D BEM APPLICATION TO NEUMANN GEODETIC BVP USING THE COLLOCATION WITH LINEAR BASIS FUNCTIONS ˇ Add to Reading List Source URL: www.iam.fmph.uniba.sk Language: English - Date: 2002-08-15 09:15:35 Generalized functions Boundary element method Differential equation Fundamental solution Triangle Geodesy Calculus of variations MEMO Model Earth Mathematical analysis Mathematics Partial differential equations
232	Journal of Machine Learning Research[removed]Submitted 9/09, Revised 7/10, 1/11; Published 5/11 Dirichlet Process Mixtures of Generalized Linear Models Lauren A. Hannah Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Nonparametric regression Linear regression Poisson regression Dirichlet process Mixture model Degrees of freedom Statistical power Bayesian linear regression Variance inflation factor Statistics Regression analysis Generalized linear model
233	Grouped Model Averaging for Finite Sample Size Xinyu Zhang and Aman Ullah∗ Chinese Academy of Sciences and University of California, Riverside Abstract: This paper studies grouped model averaging methods for finite sam Add to Reading List Source URL: economics.ucr.edu Language: English - Date: 2015-02-03 19:20:38 Econometrics Least squares Parametric statistics Ordinary least squares Linear regression Mean squared error Generalized method of moments Instrumental variable Estimator Statistics Estimation theory Regression analysis
234	Dirichlet Process Mixtures of Generalized Linear Models Lauren A. Hannah Department of Operations Research and Financial Engineering, Princeton University Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Linear regression Poisson regression Nonparametric regression Dirichlet process Bayesian linear regression Mixture model Degrees of freedom Statistical power Polynomial regression Statistics Regression analysis Generalized linear model
235	Microsoft Word - NPMRIntro.doc Add to Reading List Source URL: www.pcord.com Language: English - Date: 2014-10-01 10:07:48 Linear regression Additive model Multivariate adaptive regression splines Generalized linear model Statistical model Local regression Generalized additive model Ecology Logistic regression Statistics Regression analysis Nonparametric regression
236	Microsoft Word - NPMRIntro.doc Add to Reading List Source URL: www.pcord.com Language: English - Date: 2014-10-01 10:07:48 Linear regression Additive model Multivariate adaptive regression splines Generalized linear model Statistical model Local regression Generalized additive model Ecology Logistic regression Statistics Regression analysis Nonparametric regression
237	Owls example: a zero-inflated, generalized linear mixed model for count data Ben Bolker, Mollie Brooks, Beth Gardner, Cleridy Lennert, Mihoko Minami October 23, [removed] Add to Reading List Source URL: groups.nceas.ucsb.edu Language: English - Date: 2013-01-11 12:25:47 Statistical methods Actuarial science Econometrics Mixed model Generalized linear model Overdispersion Normal distribution Parameter Poisson distribution Statistics Regression analysis Data analysis
238	Classical Decomposition Model Revisited: I • recall classical decomposition model for time series Yt, namely, Yt = mt + st + Wt, (∗) Add to Reading List Source URL: faculty.washington.edu Language: English - Date: 2015-03-11 12:29:22 Ordinary least squares Generalized least squares Linear regression Linear least squares Least squares Residual sum of squares Covariance Errors and residuals in statistics Heteroscedasticity-consistent standard errors Statistics Regression analysis Gauss–Markov theorem
239	20th International Congress on Modelling and Simulation, Adelaide, Australia, 1–6 December 2013 www.mssanz.org.au/modsim2013 Generalised linear model and analysis of cereal plant biomass M. Cespedes a, J. Cai b Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-11-19 22:01:55 Linear regression Ordinary least squares Deviance Least squares Generalized linear model Nonlinear regression Outline of regression analysis Focused information criterion Statistics Regression analysis Akaike information criterion
240	8. Electronic Supplementary Materials 8.1 Additional information about Methods[removed]Population data The geographical boundaries used when determining population estimates were, for the most part, those existing as at 19 Add to Reading List Source URL: static-content.springer.com Language: English Actuarial science Time series analysis Categorical data Generalized linear model Poisson regression Overdispersion Autoregressive conditional heteroskedasticity Seasonality Statistics Econometrics Regression analysis

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