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Nonlinear regression
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#	Item
141	Unsupervised Kernel Dimension Reduction Meihong Wang Dept. of Computer Science U. of Southern California Los Angeles, CA 90089 Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2011-08-01 12:49:02 Dimension reduction Nonlinear dimensionality reduction Kernel principal component analysis Principal component analysis Supervised learning Sliced inverse regression Sufficient dimension reduction Gaussian function Projection Statistics Mathematics Multivariate statistics
142	Nonlinear principal component 1 Nonlinear principal component analysis of noisy data Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2007-04-06 13:34:46 Data analysis Dynamical systems Dimension reduction Principal component analysis Nonlinear regression Mean squared error Nonlinear system Regression analysis Self-organizing map Statistics Multivariate statistics Neural networks
143	Fekedulegn, Mac33(4) Siurtainresearch & Colbert notes Silva Fennica Add to Reading List Source URL: www.silvafennica.fi Language: English - Date: 2013-05-07 07:30:17 Nonlinear regression Linear model Logistic function Estimation theory Differential equation Least squares Gauss–Newton algorithm Statistics Regression analysis Linear regression
144	MEASUREMENT ERROR MODELS XIAOHONG CHEN and HAN HONG and DENIS NEKIPELOV1 Key words: Linear or nonlinear errors-in-variables models, classical or nonclassical measurement errors, attenuation bias, instrumental variables, Add to Reading List Source URL: www.stanford.edu Language: English - Date: 2010-12-02 19:46:20 Statistical models Estimation theory Simultaneous equation methods Errors-in-variables models Linear regression Instrumental variable Least squares Regression dilution Linear model Statistics Regression analysis Econometrics
145	On the number of support points of maximin and Bayesian D-optimal designs in nonlinear regression models Dietrich Braess Holger Dette Add to Reading List Source URL: homepage.rub.de Language: English - Date: 2004-12-20 12:06:43 Estimation theory Design of experiments Statistical methods Linear regression Optimal design Fisher information Logistic regression Statistics Regression analysis Econometrics
146	The University of British Columbia Faculty of Forestry Forestry[removed]Advanced Regression Analysis Course Outline for 2011 Calendar Description: FRST[removed]Multiple Regression Methods. Matrix algebra; algebra and infe Add to Reading List Source URL: biometrics.forestry.ubc.ca Language: English - Date: 2013-06-11 12:06:31 Least squares Generalized linear model Linear least squares Nonlinear regression Ordinary least squares Generalized least squares Mixed model SAS Heteroscedasticity Statistics Regression analysis Linear regression
147	Prism 6 Step-by-Step Example Analyzing dose-response data In pharmacology experiments, a drug’s effect on a receptor is typically investigated by constructing a dose-response curve. A dose-response curve describes the Add to Reading List Source URL: www.graphpad.com Language: English - Date: 2012-07-24 13:05:32 Toxicology Econometrics GraphPad Prism Dose-response relationship Nonlinear regression Curve fitting Linear regression EC50 Plot Statistics Regression analysis Pharmacology
148	PRESCRIPTIONS COMPUTING PRESCRIPTIONS Editors: Isabel Beichl, [removed] Julian V. Noble, [removed] Add to Reading List Source URL: math.nist.gov Language: English - Date: 2005-04-06 15:12:51 Non-linear least squares Nonlinear regression Linear least squares Least squares Nonlinear system Residual sum of squares Autoregressive conditional heteroskedasticity Dynamical system Regression analysis Statistics Sinusoidal model
149	Recalibrating and Combining Ensemble Predictions Michael K. Tippett, Lisa Goddard, Simon Mason (IRI), Malaquias Pena Mendez (SAIC-EMC/NCEP/NOAA), Huug van den Dool (CPC/NCEP/NWS/NOAA) Add to Reading List Source URL: www.cpc.ncep.noaa.gov Language: English - Date: 2011-11-02 07:07:41 Actuarial science Statistical models Statistical forecasting Linear regression Generalized linear model Forecasting Ensemble forecasting Nonlinear regression Statistics Regression analysis Econometrics
150	party with the mob: Model-Based Recursive Partitioning in R Achim Zeileis Torsten Hothorn Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-09-17 12:30:49 Ordinary least squares Linear regression Nonlinear regression Dummy variable Coefficient of determination Decision tree learning Generalized linear model Statistics Regression analysis Least squares

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