Quantile Regression
-
Quantile Regression
By Roger Koenker... R.A.,149 Fitzenberger, B., 42, 110, 253 Floyd, R.W., 207, 208 Fox, M.,5 Frank, I.E.,137 Freedman,B.A., 192, 200 Freedman, D.A.,107 Friedman, J.,137, 228 Friedman,M., 81,288 Frisch, R.,190, 281 Fréchet, M.,61 Fu, W., 135,136,137 Gál, ...
-
Quantile Regression: Theory and Applications
By Cristina Davino, Marilena Furno, Domenico VistoccoA 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 as the software tools to implement the ...
-
Quantile Regression
By Lingxin Hao, Daniel Q. NaimanQuantile Regression, the first book of Hao and Naiman′s two-book series, establishes the seldom recognized link between inequality studies and quantile regression models.
-
Quantile Regression
By Lingxin Hao, Daniel Q. Naiman, Daniel Q.. NaimanQuantile Regression, the first book of Hao and Naiman's two-book series, establishes the seldom recognized link between inequality studies and quantile regression models.
-
Quantile Regression: Estimation and Simulation, Volume 2
By Marilena Furno, Domenico VistoccoThe text: Provides an overview of several technical topics such as robustness of quantile regressions, bootstrap and elemental sets and treatments effect estimators Compares quantile regression with alternative estimators like expectiles, M ...
-
Quantile Regression: Applications on Experimental and Cross Section Data using EViews
By I. Gusti Ngurah AgungThis rigorous volume: Describes how QR can provide a more detailed picture of the relationships between independent variables and the quantiles of the criterion variable, by using the least-square regression Presents the applications of the ...
-
Quantile Regression: Estimation and Simulation
By Marilena Furno, Domenico Vistoccoregressions, that is, on the reduced impact of anomalous values on the median regression estimator. Analogously to the univariate case, where the median is less affected by outliers than the mean, the conditional median regression is ...
-
Quantile Regression: Theory and Applications
By Cristina DavinoA 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 as the software tools to implement the ...