Books on the topic 'Quantity quantile regression'

Hao, Lingxin, and Daniel Naiman. Quantile Regression. 2455 Teller Road, Thousand Oaks California 91320 United States of America: SAGE Publications, Inc., 2007. http://dx.doi.org/10.4135/9781412985550.

Davino, Cristina, Marilena Furno, and Domenico Vistocco. Quantile Regression. Oxford: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118752685.

Marilena, Furno, and Vistocco Domenico. Quantile Regression. Chichester, UK: John Wiley & Sons Ltd, 2018. http://dx.doi.org/10.1002/9781118863718.

Hao, Lingxin. Quantile regression. Thousand Oaks, Calif: Sage Publications, 2007.

Firpo, Sergio. Unconditional quantile regressions. Cambridge, MA: National Bureau of Economic Research, 2007.

Chernozhukov, Victor. Instrumental variable quantile regression. Cambridge, MA: Massachusetts Institute of Technology, Dept. of Economics, 2006.

Cleophas, Ton J., and Aeilko H. Zwinderman. Quantile Regression in Clinical Research. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82840-0.

McMillen, Daniel P. Quantile Regression for Spatial Data. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31815-3.

Fitzenberger, Bernd, Roger Koenker, and José A. F. Machado, eds. Economic Applications of Quantile Regression. Heidelberg: Physica-Verlag HD, 2002. http://dx.doi.org/10.1007/978-3-662-11592-3.

Chernozhukov, Victor. Quantile regression with censoring and endogeneity. Cambridge, MA: National Bureau of Economic Research, 2011.

Ling, Wodan. Quantile regression for zero-inflated outcomes. [New York, N.Y.?]: [publisher not identified], 2019.

Chernozhukov, Victor. Finite sample inference for quantile regression models. Cambridge, MA: Massachusetts Institute of Technology, Dept. of Economics, 2006.

Chernozhukov, Victor. Inference on quantile regression process: An alternative. Cambridge, MA: Massachusetts Institute of Technology, Dept. of Economics, 2002.

Koenker, Roger. Quantile regression models for global temperature change. Champaign: University of Illinois at Urbana-Champaign, 1993.

Koenker, Roger W. An interior point algorithm for nonlinear quantile regression / Roger Koenker ; Beum J. Park. Champaign: University of Illinois at Urbana-Champaign, 1992.

Engle, R. F. CAViaR: Conditional value at risk by quantile regression. Cambridge, MA: National Bureau of Economic Research, 1999.

Chernozhukov, Victor. Inference for distributional effects using instrumental quantile regression. Cambridge, MA: Massachusetts Institute of Technology, Dept. of Economics, 2002.

Chernozhukov, Victor. L1-Penalized Quantile Regression in High Dimensional Sparse Models. Cambridge, MA: Massachusetts Institute of Technology, Dept. of Economics, 2009.

Uribe, Jorge M., and Montserrat Guillen. Quantile Regression for Cross-Sectional and Time Series Data. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44504-1.

Chernozhukov, Victor. Simple 3-step censored quantile regression and extramartial affairs. Cambridge, MA: Massachusetts Institute of Technology, Dept. of Economics, 2001.

Krishnamurthy, Chandra Kiran B. The distributional impacts of climate change on Indian agriculture: A quantile regression approach. Chennai, India: Madras School of Economics, 2012.

Joachim, Wagner, ed. Works councils, labor productivity and plant heterogeneity: Evidence from quantile regressions. Bonn, Germany: IZA, 2004.

Arabsheibani, G. R. Human capital and earnings inequality in Brazil, 1988-98: Quantile regression evidence. Washington, D.C: World Bank, 2003.

Angrist, Joshua David. Quantile regression under misspecification with an application to the U.S. wage structure. Cambridge, MA: Massachusetts Institute of Technology, Dept. of Economics, 2004.

Angrist, Joshua David. Quantile regression under misspecification, with an application to the U.S. wage structure. Cambridge, MA: National Bureau of Economic Research, 2004.

Poterba, James M. The distribution of public sector wage premia: New evidence using quantile regression methods. Cambridge, MA: National Bureau of Economic Research, 1994.

Sha, Nanshi. On testing the change-point in the longitudinal bent line quantile regression model. [New York, N.Y.?]: [publisher not identified], 2011.

Sriram, Karthik. A bayesian semiparametric quantile regression model for longitudinal data with application to insurance company costs. Bangalore: Indian Institute of Management Bangalore, 2011.

Blunch, Neils-Hugo. Asymmetries in union relative wage effects in Ghanaian manufacturing: An analysis applying quantile regressions. Washington, D.C: World Bank, Africa Technical Families, Human Development 3, 2001.

Sriram, Karthik. Posterior consistency of bayesian quantile regression under a mis-specified likelihood based on asymmetric laplace density. Bangalore: Indian Institute of Management Bangalore, 2011.

Statistics Canada. Analytical Studies Branch., ed. In search of intergenerational credit constraints among men: Quantile versus mean regression tests for binding credit constraints. Ottawa, Ont: Analytical Studies Branch, Statistics Canada, 2001.

Fitzenberger, Bernd. New insights on unemployment duration and post unemployment earnings in Germany: Censored box-cox quantile regression at work. Bonn, Germany: IZA, 2007.

Kim, Chahn-gyoo. The quantity theory of money elaborated: With appendix, toward a prediction : selected topics with a general regression theorem. Seoul: Specialist Member's Club Press, 1989.

Canada. Statistics Canada. Analytical Studies Branch. In search of intergenerational credit constraints among Canadian men: Quantile versus mean regression tests for binding credit constraints. Ottawa: Statistics Canada, 2001.

Naiman, Daniel Q., and Lingxin Hao. Quantile Regression. SAGE Publications, Incorporated, 2007.

Quantile Regression. New York: Cambridge University Press, 2005. http://dx.doi.org/10.1017/ccol0521845734.

Koenker, Roger. Quantile Regression. Cambridge University Press, 2010.

Koenker, Roger. Quantile Regression. Cambridge University Press, 2005.

Koenker, Roger. Quantile Regression. Cambridge University Press, 2005.

Koenker, Roger, Andrew Chesher, and Matthew Jackson. Quantile Regression. Cambridge University Press, 2005.

Koenker, Roger, Victor Chernozhukov, Xuming He, and Limin Peng. Handbook of Quantile Regression. Taylor & Francis Group, 2017.

Koenker, Roger, Victor Chernozhukov, Xuming He, and Limin Peng. Handbook of Quantile Regression. Taylor & Francis Group, 2017.

Koenker, Roger, Victor Chernozhukov, Xuming He, and Limin Peng, eds. Handbook of Quantile Regression. Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/9781315120256.

Handbook of Quantile Regression. Taylor & Francis Group, 2017.

Koenker, Roger, Victor Chernozhukov, Xuming He, and Limin Peng. Handbook of Quantile Regression. Taylor & Francis Group, 2017.

Koenker, Roger, Victor Chernozhukov, Xuming He, and Limin Peng. Handbook of Quantile Regression. Taylor & Francis Group, 2017.

Koenker, Roger, Victor Chernozhukov, Xuming He, and Limin Peng. Handbook of Quantile Regression. Taylor & Francis Group, 2020.

Quantile Regression For Spatial Data. Springer, 2012.

Koenker, Roger. Quantile Regression (Econometric Society Monographs). Cambridge University Press, 2005.

Fitzenberger, Bernd, Roger Koenker, and Jose A. F. Machado. Economic Applications of Quantile Regression. Bernd Fitzenberger, 2010.