Quantile Regression

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Quantile Regression

Quantile Regression

Roger Koenker

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A comprehensive treatment of the subject, encompassing models that are linear and nonlinear, parametric and nonparametric.

Κατηγορίες:

Έτος:

2005

Εκδότης:

Cambridge University Press

Γλώσσα:

english

Σελίδες:

198

ISBN 10:

0521608279

ISBN 13:

9780521608275

Σειρές:

Econometric Society Monographs

Αρχείο:

PDF, 1.34 MB

IPFS:

,

english, 2005

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Ίσως σας ενδιαφέρει

Stephen Boyd, Lieven Vandenberghe — Convex Optimization, Solutions Manual

Smola A.J., Schoelkopf B. — Tutorial on support vector regression

Faraway J.J. — Practical Regression and Anova using R

Simon Sheather (auth.) — A Modern Approach to Regression with R

Christian Ritz, Jens Carl Streibig (eds.) — Nonlinear Regression with R

John O. Rawlings, Sastry G. Pantula, David A. Dickey — Applied Regression Analysis: A Research Tool

Michael R. Kosorok — Introduction to empirical processes and semiparametric inference

Carl De Boor — A Practical Guide to Splines (Revised Edition)

T.J. Hastie, R.J. Tibshirani — Generalized Additive Models

Peter J. Huber, Elvezio M. Ronchetti — Robust statistics

Luke John Keele — Semiparametric Regression for the Social Sciences

George A. F. Seber, C. J. Wild — Nonlinear Regression (Wiley Series in Probability and Statistics)

Hulin Wu, Jin-Ting Zhang — Nonparametric regression methods for longitudinal data analysis: [mixed-effects modeling approaches]

Sanford Weisberg — Applied Linear Regression

David A. Belsley, Edwin Kuh, Roy E. Welsch — Regression Diagnostics - Identifying Influential Data and Sources of Collinearity

K. Takezawa — Introduction to Nonparametric Regression

Douglas M. Bates, Donald G. Watts — Nonlinear regression analysis and its applications

Samprit Chatterjee, Ali S. Hadi — Sensitivity analysis in linear regression

Adonis Yatchew — Semiparametric regression for the applied econometrician

David Ruppert, M. P. Wand, R. J. Carroll — Semiparametric regression

Roger Koenker — Quantile Regression

Bradley Efron — Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction (Institute of Mathematical Statistics Monographs)

Edward P. Herbst, Frank Schorfheide — Bayesian Estimation of DSGE Models

James Jaccard — Interaction Effects in Logistic Regression

James Jaccard, Robert Turrisi — Interaction Effects in Multiple Regression

Randall L. Eubank — Nonparametric Regression and Spline Smoothing

Davino, Cristina; Furno, Marilena; Vistocco, Domenico — Quantile regression: estimation and simulation

I. Gusti Ngurah Agung — Applications of Quantile Regression of Experimental and Cross Section Data using EViews: Applications on Experimental and Cross Section Data using EViews

Cristina Davino, Marilena Furno, Domenico Vistocco — Quantile Regression: Theory and Applications

Leo Breiman — Classification and Regression Trees

Burkhard Heer — Dynamic General Equilibrium Modelling: Computational Methods and Applications

Lingxin Hao, Daniel Q. Naiman — Quantile Regression

Ronald Christensen (auth.) — Advanced Linear Modeling: Multivariate, Time Series, and Spatial Data; Nonparametric Regression and Response Surface Maximization

Wendy L. Martinez, Angel R. Martinez — Computational Statistics Handbook with MATLAB

Christophe Giraud — Introduction to High-Dimensional Statistics

Joseph M. Hilbe — Practical guide to logistic regression

Roger Koenker, Victor Chernozhukov, Xuming He, Limin Peng — Handbook of Quantile Regression

Simon N. Wood — Generalized Additive Models: An Introduction With R (Second Edition)

Daryl S. Paulson — Handbook of Regression and Modeling: Applications for the Clinical and Pharmaceutical Industries

Peter Sprent, Nigel C. Smeeton — Applied Nonparametric Statistical Methods

G. David Garson — Logistic Regression: Binary and Multinomial

Kevin R. Murphy, Brett Myors, Allen Wolach — Statistical Power Analysis: A Simple and General Model for Traditional and Modern Hypothesis Tests

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