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2003, 3rd ed., ISBN 0805822232, xxviii, 703
This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach... 
Statistical methods | Regression analysis | Correlation (Statistics) | Social sciences | Regression Analysis and Multivariate Statistics | Quantitative Methods | Multivariate Statistics
Book
1998, 1, Statistics, textbooks and monographs, ISBN 0824701569, Volume 156, xii, 632
Offers a treatment of different kinds of James-Stein and ridge regression estimators from a frequentist and Bayesian point of view... 
Estimation theory | Regression analysis | Statistical Theory & Methods
Book
2014, Wiley series in probability and statistics, ISBN 9781119975281, xvi, 260 pages
A guide to the implementation and interpretation of Quantile Regression models This book explores the theory and numerous applications of quantile regression, offering empirical data analysis as well... 
Quantile regression | Regression analysis
Book
The Journal of economic perspectives, ISSN 0895-3309, 2001, Volume 15, Issue 4, pp. 143 - 156
Quantile regression, as introduced by Koenker and Bassett (1978), may be viewed as an extension of classical least squares estimation of conditional mean models... 
Labor economics | Statistical median | Economic models | Economic theory | Linear regression | Least squares | Birth weight | Infants | Chief executive officers | Symposium: Econometric Tools | Quantile regression | DEMAND | ERROR | ECONOMICS | WAGE STRUCTURE | Methods | Regression analysis | Econometrics
Journal Article
2003, 3rd ed., ISBN 0805822232, xxviii, 703
This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach... 
Statistical methods | Regression analysis | Correlation (Statistics) | Social sciences | Regression Analysis and Multivariate Statistics | Quantitative Methods | Multivariate Statistics
Book
The Annals of statistics, ISSN 0090-5364, 2004, Volume 32, Issue 2, pp. 407 - 499
.... Least Angle Regression (LARS), a new model selection algorithm, is a useful and less greedy version of traditional forward selection methods... 
Regression coefficients | Degrees of freedom | Algorithms | Approximation | Linear regression | Least squares | Coordinate systems | Mathematical vectors | Diabetes | Modeling | Least Angle Regression | Boosting | Lasso | Coefficient paths | Variable selection | boosting | lasso | linear regression | STATISTICS & PROBABILITY | coefficient paths | variable selection | SELECTION | 62J07
Journal Article
Wiley interdisciplinary reviews. Computational statistics, ISSN 1939-5108, 2010, Volume 2, Issue 1, pp. 97 - 106
Journal Article
Journal of the American Statistical Association, ISSN 1537-274X, 2017, Volume 112, Issue 519, pp. 1131 - 1146
Aiming at abundant scientific and engineering data with not only high dimensionality but also complex structure, we study the regression problem with a multidimensional array (tensor... 
Envelope method | Tensor regression | Multivariate linear regression | Reduced rank regression | Sparsity principle | Multidimensional array | SIMULTANEOUS DIMENSION REDUCTION | LEAST-SQUARES REGRESSION | ALGORITHM | STATISTICS & PROBABILITY | LONGITUDINAL NEUROIMAGING DATA | VARIABLE SELECTION | MODELS | ENVELOPES | PREDICTORS | REDUCED-RANK REGRESSION | MULTIVARIATE LINEAR-REGRESSION
Journal Article