登入選單
Google圖書搜尋
Quantile Regression
作者
Roger Koenker
出版Cambridge University Press, 2005-05-05
ISBN
9781139444712 / 1139444719
主題
Business & Economics
Goodness of Fit and Related Inference Processes fo...
作者
Roger Koenker / José A. F. Machado
出版1999
ISBN
OCLC:246088648
Likelihood Ratio and Goodness of Fit Processes for...
作者
Roger Koenker
出版1998
ISBN
OCLC:39056403
Quantile Regression
作者
Roger Koenker
出版2017
ISBN
OCLC:1305129521
Likelihood Ratio and Goodness of Fit Processes for...
作者
Roger Koenker / Jose A. F. Machado
出版1998
ISBN
OCLC:39056403
Quantile Regression
作者
Roger Koenker
出版1996
ISBN
OCLC:535259304
Robust Methods in Econometrics
作者
Roger Koenker
出版1981
ISBN
OCLC:53799350
Inference on the Quantile Regression Process
作者
Roger W. Koenker / Zhijie Xiao / University of Illinois at Urbana-Champaign. College of Commerce and Business Administration. Office of Research
出版2000
ISBN
OCLC:247496972
Galton, Edgeworth, Frisch, and Prospects for Quant...
作者
Roger W. Koenker / University of Illinois at Urbana-Champaign. College of Commerce and Business Administration. Office of Research
出版1998
ISBN
OCLC:535381934
Reproducible Econometric Research
作者
Roger Koenker
出版1998
ISBN
OCLC:39056389
Reappraising Medfly Longevity
作者
Roger Koenker / Olga Geling
出版1999
ISBN
OCLC:76031392
Censored Quantile Regression Survival Models with ...
作者
Naveen Narisetty / Roger Koenker
出版2019
ISBN
OCLC:1164338976
Copula-Based Nonlinear Quantile Autoregression
作者
Xiaohong Chen / Roger Koenker / Zhijie Xiao
出版2008
ISBN
OCLC:778343532
Reappraising Medlfy Longevity
出版1999
ISBN
OCLC:916951629
Additive Models for Quantile Regression: Model Sel...
作者
Roger Koenker
出版2010
ISBN
OCLC:837975996
Distributional Vs. Quantile Regression
作者
Roger Koenker
出版2014
ISBN
OCLC:1308937333
Computing Regression Quantiles
作者
Roger Koenker / Vasco D'Orey / University of Illinois at Urbana-Champaign. College of Commerce and Business Administration
出版1985
ISBN
OCLC:754955338
Asymptotic Theory and Econometric Practice
作者
Roger Koenker / University of Illinois at Urbana-Champaign. College of Commerce and Business Administration
出版1988
ISBN
OCLC:750521240
A Note on Computing Dual Regression Quantiles and ...
作者
Roger Koenker / Vasco D'Orey / University of Illinois at Urbana-Champaign. Bureau of Economic and Business Research
出版1990
ISBN
OCLC:698099977
主題
Economics
Galton, Edgeworth, Frisch, and Prospects for Quant...
作者
Roger W. Koenker
出版1998
ISBN
OCLC:535381934
Quantile Regression Models for Global Temperature ...
作者
Roger W. Koenker / Frank Schorfheide / University of Illinois at Urbana-Champaign. Bureau of Economic and Business Research
出版1993
ISBN
OCLC:535285904
Hierarchical Spline Models for Conditional Quantil...
作者
Wallace E. Hendricks
出版1990
ISBN
OCLC:25002118
主題
Economics
An Empirical Quantile Function for Linear Models w...
作者
Gilbert Bassett / Roger Koenker
出版1981
ISBN
OCLC:81070041
L-estimation for Linear Models
作者
Roger Koenker / University of Illinois at Urbana-Champaign. College of Commerce and Business Administration
出版1986
ISBN
OCLC:707386839
主題
Regression analysis
Goodness of Fit and Related Interference Processes...
作者
Roger W. Koenker / Jose A. F. Machado / University of Illinois at Urbana-Champaign. College of Commerce and Business Administration. Office of Research
出版1999
ISBN
OCLC:535413098
An Interior Point Algorithm for Nonlinear Quantile...
作者
Roger W. Koenker / Beum J. Park / University of Illinois at Urbana-Champaign. Bureau of Economic and Business Research
出版1992
ISBN
OCLC:535284830
Linear Models for Conditional Guantile Functions, ...
作者
Roger Koenker / Gilbert Bassett Jr.
出版1981
ISBN
OCLC:81980669
Adaptive L-estimation of Linear Models
作者
Steven Portnoy / Roger Koenker / University of Illinois at Urbana-Champaign. College of Commerce and Business Administration
出版1987
ISBN
OCLC:748283179
A Note on Amemiya's Form of the Weighted Least Squ...
作者
Roger Koenker
出版1992
ISBN
UCSD:31822018757518
主題
Estimation theory
Generalized Sample Quantile Estimators for the Lin...
作者
Gilbert Bassett / Roger Koenker
出版1974
ISBN
OCLC:1433780
主題
Distributors, Theory of (Functional analysis)