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Sum of squares
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#	Item
111	TEACHING SUGGESTIONS In-Class Game The Pythagorean Theorem Game (Lesson 3-4) Add to Reading List Source URL: www.glencoe.com Language: English - Date: 2009-11-11 12:15:15 Euclidean geometry Pythagorean theorem Pythagorean triple Hypotenuse Right triangle Pythagoras Cathetus Special right triangles Sum of squares Geometry Triangles Mathematics
112	Basis selection for SOS programs via facial reduction and polyhedral approximations Frank Permenter1 Abstract— We develop a monomial basis selection procedure for sum-of-squares (SOS) programs based on facial reduction Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2014-09-21 11:13:41 Homogeneous polynomials Polynomials Monomial basis Monomial Sum-of-squares optimization Positive polynomial Multivariate division algorithm Elementary symmetric polynomial Mathematics Algebra Abstract algebra
113	Che-mistry IIZ: Some Important Properties of the Characters of Symmetry Point Groups: a group rs The sum of the squares of the dimensions of the irreducible representations of equal to the order of the grouP. Add to Reading List Source URL: chemistry.caltech.edu - Date: 2014-09-25 18:53:17
114	Chapter 9 Simple Linear Regression An analysis appropriate for a quantitative outcome and a single quantitative explanatory variable. 9.1 Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2013-10-20 13:22:10 Simple linear regression Data transformation Least squares Residual sum of squares Errors and residuals in statistics Dummy variable Ordinary least squares Statistics Regression analysis Linear regression
115	COMPUTING PRESCRIPTIONS Editors: Isabel Beichl, [removed] FITTING NATURE’S BASIC FUNCTIONS PART I: POLYNOMIALS AND LINEAR LEAST SQUARES By Bert W. Rust Add to Reading List Source URL: math.nist.gov Language: English - Date: 2005-04-06 15:12:51 Normal distribution Least squares Ordinary least squares Linear regression Degrees of freedom Errors and residuals in statistics Residual sum of squares Non-linear least squares Heteroscedasticity-consistent standard errors Statistics Regression analysis Linear least squares
116	Fitting Equations Idea: The variable of interest (dependent variable, yi) is hard to measure. There are “easy to measure” variables (predictor/ independent) that are related to the variable of interest, labeled x1 Add to Reading List Source URL: biometrics.forestry.ubc.ca Language: English - Date: 2013-06-11 13:13:06 Least squares Linear regression Residual sum of squares Errors and residuals in statistics Coefficient of determination Dummy variable Linear least squares Degrees of freedom Variance Statistics Regression analysis Simple linear regression
117	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
118	Perturbation Bounds for Linear Regression Problems Bert W. Rust Computing and Applied Mathematics Division Building 101, Room A-238 National Institute of Standards and Technology Gaithersburg, MD 20899 Add to Reading List Source URL: math.nist.gov Language: English - Date: 2014-05-30 14:39:36 Econometrics Probability theory Numerical linear algebra Linear least squares Linear regression Residual sum of squares Condition number Expected value Normal distribution Statistics Regression analysis Least squares
119	Microsoft Word - Fitting Equations.doc Add to Reading List Source URL: biometrics.forestry.ubc.ca Language: English - Date: 2013-06-11 13:17:32 Estimation theory Econometrics Parametric statistics Residual sum of squares Errors and residuals in statistics Simple linear regression Linear regression Coefficient of determination Variance Statistics Regression analysis Least squares
120	Parameter Selection for Constrained Solutions to Ill-Posed Problems Bert W. Rust Reprinted from the CD Rust, B. W[removed]) “Parameter Selection for Constrained Solutions to Ill-Posed Problems,” Computing Science and S Add to Reading List Source URL: math.nist.gov Language: English - Date: 2005-04-06 15:12:38 Estimation theory Econometrics Measurement Linear least squares Residual sum of squares Errors and residuals in statistics Tikhonov regularization Degrees of freedom Periodogram Statistics Regression analysis Least squares