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There are 36833 results for: content related to: Rejecting the mean: Estimating the response of fen plant species to environmental factors by non-linear quantile regression

  1. Hydrological and biogeochemical controls on plant species distribution within calcareous fens


    Volume 5, Issue 1, January 2012, Pages: 73–89, Tim P. Duval, J. Michael Waddington and Brian A. Branfireun

    Version of Record online : 11 MAR 2011, DOI: 10.1002/eco.202

  2. The Empirical Determinants of Credit Default Swap Spreads: a Quantile Regression Approach

    European Financial Management

    Volume 21, Issue 3, June 2015, Pages: 556–589, Pedro Pires, João Pedro Pereira and Luís Filipe Martins

    Version of Record online : 25 AUG 2013, DOI: 10.1111/j.1468-036X.2013.12029.x

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    A gentle introduction to quantile regression for ecologists

    Frontiers in Ecology and the Environment

    Volume 1, Issue 8, October 2003, Pages: 412–420, Brian S. Cade and Barry R. Noon

    Version of Record online : 1 OCT 2003, DOI: 10.1890/1540-9295(2003)001[0412:AGITQR]2.0.CO;2



    Volume 86, Issue 3, March 2005, Pages: 786–800, Brian S. Cade, Barry R. Noon and Curtis H. Flather

    Version of Record online : 1 MAR 2005, DOI: 10.1890/04-0785

  5. Estimation of Non-Crossing Quantile Regression Curves

    Australian & New Zealand Journal of Statistics

    Volume 57, Issue 1, March 2015, Pages: 139–162, Yuzhi Cai and Tao Jiang

    Version of Record online : 6 MAR 2015, DOI: 10.1111/anzs.12106

  6. Mutual Fund Governance and Performance: A Quantile Regression Analysis of Morningstar's Stewardship Grade

    Corporate Governance: An International Review

    Volume 19, Issue 4, July 2011, Pages: 311–333, Carl R. Chen and Ying Huang

    Version of Record online : 27 MAY 2011, DOI: 10.1111/j.1467-8683.2011.00858.x

  7. CEO Stock-Based Incentive Compensation and Firm Performance: A Quantile Regression Approach

    Journal of International Financial Management & Accounting

    Volume 26, Issue 1, February 2015, Pages: 39–71, Ming-Yuan Leon Li, Tung-Hsiao Yang and Shang-En Yu

    Version of Record online : 19 JAN 2015, DOI: 10.1111/jifm.12022

  8. A quantile regression neural network approach to estimating the conditional density of multiperiod returns

    Journal of Forecasting

    Volume 19, Issue 4, July 2000, Pages: 299–311, James W. Taylor

    Version of Record online : 7 JUL 2000, DOI: 10.1002/1099-131X(200007)19:4<299::AID-FOR775>3.0.CO;2-V

  9. Binary quantile regression: a Bayesian approach based on the asymmetric Laplace distribution

    Journal of Applied Econometrics

    Volume 27, Issue 7, November/December 2012, Pages: 1174–1188, Dries F. Benoit and Dirk Van den Poel

    Version of Record online : 14 OCT 2010, DOI: 10.1002/jae.1216

  10. Conditional quantile regression models of melanoma tumor growth curves for assessing treatment effect in small sample studies

    Statistics in Medicine

    Volume 33, Issue 29, 20 December 2014, Pages: 5209–5220, Ella Revzin, Dibyen Majumdar and Gilbert W. Bassett Jr.

    Version of Record online : 18 SEP 2014, DOI: 10.1002/sim.6309

  11. Effects of Firm Size, Financial Leverage and R&D Expenditures on Firm Earnings: An Analysis Using Quantile Regression Approach


    Volume 47, Issue 2, June 2011, Pages: 182–204, MING-YUAN LEON LI and NEN-CHEN RICHARD HWANG

    Version of Record online : 1 JUN 2011, DOI: 10.1111/j.1467-6281.2011.00338.x

  12. Bayesian quantile regression for count data with application to environmental epidemiology

    Journal of the Royal Statistical Society: Series C (Applied Statistics)

    Volume 59, Issue 5, November 2010, Pages: 905–920, Duncan Lee and Tereza Neocleous

    Version of Record online : 5 JUL 2010, DOI: 10.1111/j.1467-9876.2010.00725.x



    Volume 80, Issue 1, January 1999, Pages: 311–323, Brian S. Cade, James W. Terrell and Richard L. Schroeder

    Version of Record online : 1 JAN 1999, DOI: 10.1890/0012-9658(1999)080[0311:EEOLFW]2.0.CO;2

  14. Public insurance and private savings: who is affected and by how much?

    Journal of Applied Econometrics

    Volume 24, Issue 2, March 2009, Pages: 282–308, Alex Maynard and Jiaping Qiu

    Version of Record online : 12 NOV 2008, DOI: 10.1002/jae.1039

  15. Spatiotemporal quantile regression for detecting distributional changes in environmental processes

    Journal of the Royal Statistical Society: Series C (Applied Statistics)

    Volume 61, Issue 4, August 2012, Pages: 535–553, Brian J. Reich

    Version of Record online : 30 JAN 2012, DOI: 10.1111/j.1467-9876.2011.01025.x

  16. Quantile regression models with factor-augmented predictors and information criterion

    The Econometrics Journal

    Volume 14, Issue 1, February 2011, Pages: 1–24, Tomohiro Ando and Ruey S. Tsay

    Version of Record online : 18 FEB 2011, DOI: 10.1111/j.1368-423X.2010.00320.x

  17. Variable selection via composite quantile regression with dependent errors

    Statistica Neerlandica

    Volume 69, Issue 1, February 2015, Pages: 1–20, Yanlin Tang, Xinyuan Song and Zhongyi Zhu

    Version of Record online : 30 OCT 2014, DOI: 10.1111/stan.12035

  18. Parametric quantile regression based on the generalized gamma distribution

    Journal of the Royal Statistical Society: Series C (Applied Statistics)

    Volume 62, Issue 5, November 2013, Pages: 723–740, Angela Noufaily and M. C. Jones

    Version of Record online : 6 MAY 2013, DOI: 10.1111/rssc.12014

  19. A Quantile Regression Approach to Equity Premium Prediction

    Journal of Forecasting

    Volume 33, Issue 7, November 2014, Pages: 558–576, Loukia Meligkotsidou, Ekaterini Panopoulou, Ioannis D. Vrontos and Spyridon D. Vrontos

    Version of Record online : 14 SEP 2014, DOI: 10.1002/for.2312

  20. Quantile Regression Estimator for GARCH Models

    Scandinavian Journal of Statistics

    Volume 40, Issue 1, March 2013, Pages: 2–20, SANGYEOL LEE and JUNGSIK NOH

    Version of Record online : 26 JAN 2012, DOI: 10.1111/j.1467-9469.2011.00759.x