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C-squares
Results: 253

#	Item
161	f08 – Least-squares and Eigenvalue Problems (LAPACK) f08fac NAG Library Function Document nag_dsyev (f08fac) Add to Reading List Source URL: nag.com Language: English - Date: 2012-01-26 06:17:45 Numerical linear algebra Matrices Sparse matrices Matrix theory C Standard Library Eigenvalues and eigenvectors QR algorithm Symmetric matrix Tridiagonal matrix Algebra Linear algebra Mathematics
162	Appendix: Obtaining the Loess Routines Electronically The C and Fortran routines, all of which are freely available, may be obtained by sending electronic mail to [removed] a mailbox at AT&T Bell Laborator Add to Reading List Source URL: netlib.org Language: English - Date: 1998-10-26 00:26:07 Normal distribution Local regression Nonparametric regression Degrees of freedom Linear regression Resampling Statistics Regression analysis Least squares
163	f08 – Least-squares and Eigenvalue Problems (LAPACK) f08tqc NAG Library Function Document nag_zhpgvd (f08tqc) Add to Reading List Source URL: www.nag.com Language: English - Date: 2012-01-26 06:17:55 Matrices C Standard Library Matrix theory Eigenvalues and eigenvectors Singular value decomposition Hermitian matrix Scanf format string Symmetric matrix Printf format string Algebra Linear algebra Mathematics
164	R E G U L A R S T R U C T U R A L PAPERS The structure was determined by direct methods and refined by anistropic full-matrix least squares on F. All C atoms were refined isotropically. All H atoms were located geometric Add to Reading List Source URL: doras.dcu.ie Language: English - Date: 2009-03-20 12:34:49 Classical cipher Index of agriculture articles Computer programming Computing Linguistics
165	Downloaded By: [CDL Journals Account] At: 19:09 4 May[removed]Syst. Biol. 56(2):252–270, 2007 c Society of Systematic Biologists Copyright ISSN: [removed]print[removed]836X online Add to Reading List Source URL: biology.ucr.edu Language: English - Date: 2010-09-27 15:58:15 Econometrics Least squares Data analysis Linear regression Variance Standard error Phylogenetic comparative methods Errors and residuals in statistics Heritability Statistics Regression analysis Estimation theory
166	MARKOV LEARNING MODELS FOR MULTIPERSON SITUATIONS, II. METHODS OF ANALYSIS by PATRICK SUPPES and RICHARD C. ATKINSON TECHNICAL REPORI NO. 27 Add to Reading List Source URL: suppes-corpus.stanford.edu Language: English - Date: 2008-10-15 20:34:14 Statistical theory Statistical inference Regression analysis Markov chain Maximum likelihood Least squares Stochastic matrix Expectation–maximization algorithm Models of DNA evolution Statistics Markov models Estimation theory
167	NONPARAMETRIC REGRESSION TECHNIQUES C&PE 940, 28 November[removed]Geoff Bohling Add to Reading List Source URL: people.ku.edu Language: English - Date: 2008-10-07 13:58:56 Least squares Nonparametric regression Errors and residuals in statistics Supervised learning Maximum likelihood Linear model Degrees of freedom Simple linear regression Polynomial regression Statistics Regression analysis Linear regression
168	f08 – Least-squares and Eigenvalue Problems (LAPACK) f08ffc NAG Library Function Document nag_dorgtr (f08ffc) Add to Reading List Source URL: nag.com Language: English - Date: 2012-01-26 06:17:46 Matrices Numerical linear algebra C Standard Library Matrix theory Symmetric matrix Tridiagonal matrix Eigenvalues and eigenvectors Orthogonal matrix Printf format string Algebra Linear algebra Mathematics
169	Syst. Biol. 59(1):9–26, 2010 c The Author(s[removed]Published by Oxford University Press, on behalf of the Society of Systematic Biologists. All rights reserved. For Permissions, please email: journals.permissions@oxfor Add to Reading List Source URL: biology.ucr.edu Language: English - Date: 2009-12-15 13:59:57 Bootstrapping Logistic regression Dummy variable Generalized linear model Normal distribution Phylogenetic tree Correlation and dependence Least squares Variance Statistics Regression analysis Linear regression
170	Max-Margin Additive Classifiers for Detection Subhransu Maji U.C. Berkeley, EECS Alexander C. Berg Columbia University, CS Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2009-07-17 16:11:10 Statistical classification Machine learning Support vector machines Linear classifier Caltech 101 Kernel methods Vector space Least squares support vector machine Statistics Algebra Mathematics

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