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Degrees of freedom
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#	Item
471	Package ‘GRaF’ July 2, 2014 Type Package Title Species distribution modelling using latent Gaussian random fields Version[removed]Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 09:50:56 Degrees of freedom Deviance information criterion Normal distribution Credible interval Survival analysis Econometrics Statistics Bayesian statistics Regression analysis
472	Journal of Computational Physics[removed]–1614 Contents lists available at SciVerse ScienceDirect Journal of Computational Physics journal homepage: www.elsevier.com/locate/jcp Add to Reading List Source URL: www.cfm.brown.edu Language: English - Date: 2012-01-17 18:22:14 Analysis of variance Variance Degrees of freedom Partial differential equation Normal distribution Statistics Statistical tests Design of experiments
473	Package ‘quadrupen’ July 2, 2014 Type Package Title Sparsity by Worst-Case Quadratic Penalties Version[removed]Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 16:11:23 Econometrics Estimation theory Regularization Parametric statistics Elastic net regularization Cross-validation Degrees of freedom Matrix Linear regression Statistics Regression analysis Machine learning
474	party: A Laboratory for Recursive Partytioning Torsten Hothorn Ludwig-MaximiliansUniversit¨ at M¨ unchen Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-09-17 12:30:49 Degrees of freedom Resampling Instrumental variable Linear regression Statistics Econometrics Regression analysis
475	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
476	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
477	Package ‘hysteresis’ July 2, 2014 Title Tools for Modeling Rate-Dependent Hysteretic Processes and Ellipses Version 2.0 Date[removed]Author Spencer Maynes, Fan Yang, and Anne Parkhurst Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 12:09:38 Mathematical optimization Computational statistics Conic sections Non-linear least squares Ellipse Bootstrapping Hysteresis Linear least squares Degrees of freedom Statistics Regression analysis Least squares
478	A Handbook of Statistical Analyses Using R — 2nd Edition Brian S. Everitt and Torsten Hothorn CHAPTER 5 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-08-19 11:28:20 Design of experiments Data analysis Multivariate analysis of variance Variance F-test R Mean Normal distribution Degrees of freedom Statistics Analysis of variance Statistical tests
479	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
480	A Handbook of Statistical Analyses Using R — 3rd Edition Torsten Hothorn and Brian S. Everitt CHAPTER 5 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-08-19 11:28:26 Design of experiments Data analysis Multivariate analysis of variance Variance F-test R Mean Normal distribution Degrees of freedom Statistics Analysis of variance Statistical tests

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