Nonlinear regression

Results: 220



#Item
21Linear regression / Errors and residuals in statistics / Coefficient of determination / Analysis of covariance / Ordinary least squares / Nonlinear regression / Statistics / Regression analysis / Simple linear regression

Running a simple linear regression in XLSTAT demoReg.xls Dataset for running a linear regression An Excel sheet with both the data and results can be downloaded by clicking here.

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Source URL: www.statisticalinnovations.com

Language: English - Date: 2011-11-17 13:31:38
22Regression analysis / Instrumental variable / Linear regression / Kernel regression / Efficient estimator / Generalized method of moments / Statistics / Econometrics / Estimation theory

Semiparametric Efficiency in Nonlinear LATE Models HAN HONG and DENIS NEKIPELOV1 This version: October 2008 Key words: Semiparametric efficiency bound, local treatment effect, FTP, child achievement, unemployment benefit

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Source URL: web.stanford.edu

Language: English - Date: 2010-12-02 19:46:16
23Toxicology / Econometrics / GraphPad Prism / Dose-response relationship / Nonlinear regression / Curve fitting / Linear regression / EC50 / Plot / Statistics / Regression analysis / Pharmacology

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

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Source URL: graphpad.com

Language: English - Date: 2012-07-24 13:05:32
24Linear / Graph / Nonlinear system / Mathematical optimization / Regression analysis / Linear programming / Mathematics / Operations research / Elementary algebra

MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Technical Report NoMarch 1993

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Source URL: repository.readscheme.org

Language: English - Date: 2010-10-22 08:05:35
25Econometrics / Estimation theory / Parametric statistics / Generalized least squares / Linear regression / Gauss–Markov theorem / Ordinary least squares / Nonlinear regression / Linear least squares / Statistics / Regression analysis / Least squares

The Method of Least Squares Hervé Abdi1 1 Introduction The least square methods (LSM) is probably the most popular technique in statistics. This is due to several factors. First, most common estimators can be casted wit

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Source URL: www.utd.edu

Language: English - Date: 2006-08-17 11:57:37
26Linear regression / Errors and residuals in statistics / Sampling / Variance / Nonlinear regression / Sample size determination / Least squares / Statistics / Regression analysis / Econometrics

Transactions of the American Fisheries Society 134:481–495, 2005 q Copyright by the American Fisheries Society 2005 DOI: T04Article]

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Source URL: www.water.ca.gov

Language: English - Date: 2009-09-28 13:47:46
27Least squares / Linear regression / Linear least squares / Parameter / Mathematical model / Curve fitting / Statistical model / Ordinary least squares / Total least squares / Statistics / Regression analysis / Nonlinear regression

MLAB A Mathematical Modeling Laboratory MLAB Applications Manual Gary Knott and Dan Kerner Revision Date: May 10, 2004 c Civilized Software, Inc.

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Source URL: www.civilized.com

Language: English - Date: 2009-02-19 23:45:13
28Application software / Mathematical optimization / Simulation / Computing / Nonlinear regression / Numerical analysis / IOSO / Plant Simulation / Operations research / Software / Simulation software

Microsoft WordSemSeg--Del-4-2--MultivariateUnrollingAndAnalysis.doc

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Source URL: www.semseg.eu

Language: English - Date: 2011-06-18 18:55:50
29Linear regression / Nonlinear regression / Dummy variable / Binomial regression / TomSym / Statistics / Regression analysis / Econometrics

StatMULTIPLE REGRESSION JanCharlotte Wickham

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Source URL: stat512.cwick.co.nz

Language: English - Date: 2015-01-12 22:20:39
30Errors-in-variables models / Linear regression / Instrumental variable / Regression dilution / Nonlinear regression / Errors and residuals in statistics / Endogeneity / Correlation and dependence / Ordinary least squares / Statistics / Regression analysis / Econometrics

Nonlinear Models of Measurement Errors XIAOHONG CHEN and HAN HONG and DENIS NEKIPELOV1 Key words: Linear or nonlinear errors-in-variables models, classical or nonclassical measurement errors, attenuation bias, instrument

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Source URL: web.stanford.edu

Language: English - Date: 2010-12-02 19:46:16
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