Goodness-of-Fit Tests in Nonparametric Regression
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Other versions of this item:
- Einmahl, J.H.J. & van Keilegom, I., 2004. "Goodness-of-fit Tests in Nonparametric Regression," Discussion Paper 2004-12, Tilburg University, Center for Economic Research.
- Einmahl, J.H.J. & van Keilegom, I., 2006. "Goodness-of-Fit Tests in Nonparametric Regression," Discussion Paper 2006-79, Tilburg University, Center for Economic Research.
- Einmahl, J.H.J. & van Keilegom, I., 2004. "Goodness-of-fit Tests in Nonparametric Regression," Other publications TiSEM 44e08f75-b35d-424e-b33e-0, Tilburg University, School of Economics and Management.
References listed on IDEAS
- H. Dette & A. Munk & T. Wagner, 1998. "Estimating the variance in nonparametric regression—what is a reasonable choice?," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 60(4), pages 751-764.
- Adang, Pim & Melenberg, Bertrand, 1995. "Nonnegativity Constraints and Intratemporal Uncertainty in a Multi-good Life-Cycle Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(1), pages 1-15, Jan.-Marc.
- Michael G. Akritas & Ingrid Van Keilegom, 2001. "Non‐parametric Estimation of the Residual Distribution," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 28(3), pages 549-567, September.
- De Wet, T., 1980. "Cramér-von Mises tests for independence," Journal of Multivariate Analysis, Elsevier, vol. 10(1), pages 38-50, March.
- Holger Dette & Natalie Neumeyer & Ingrid Van Keilegom, 2007.
"A new test for the parametric form of the variance function in non‐parametric regression,"
Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 69(5), pages 903-917, November.
- Dette, Holger & van Keilegom, Ingrid, 2005. "new test for the parametric form of the variance function in nonparametric regression," Technical Reports 2005,32, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
- Nagel, Eva-Renate & Dette, Holger & Neumeyer, Natalie, 2004. "Bootstrap tests for the error distribution in linear and nonparametric regression models," Technical Reports 2004,38, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
- Einmahl, J.H.J. & van Keilegom, I., 2006.
"Tests for Independence in Nonparametric Regression,"
Other publications TiSEM
0c6f2c43-aa7d-45c1-9d43-7, Tilburg University, School of Economics and Management.
- Einmahl, J.H.J. & van Keilegom, I., 2008. "Tests for independence in nonparametric regression," Other publications TiSEM 4356c520-d1d5-4156-b5b7-0, Tilburg University, School of Economics and Management.
- Einmahl, J.H.J. & van Keilegom, I., 2006. "Tests for Independence in Nonparametric Regression," Discussion Paper 2006-80, Tilburg University, Center for Economic Research.
Citations
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Cited by:
- Sokbae Lee & Oliver Linton & Yoon-Jae Whang, 2009.
"Testing for Stochastic Monotonicity,"
Econometrica, Econometric Society, vol. 77(2), pages 585-602, March.
- Lee, Sokbae & Linton, Oliver & Whang, Yoon-Jae, 2006. "Testing for stochastic monotonicity," LSE Research Online Documents on Economics 4425, London School of Economics and Political Science, LSE Library.
- Sokbae Lee & Oliver Linton & Yoon-Jae Whang, 2006. "Testing For Stochasticmonotonicity," STICERD - Econometrics Paper Series 504, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Sokbae (Simon) Lee & Oliver Linton & Yoon-Jae Whang, 2008. "Testing for stochastic monotonicity," CeMMAP working papers CWP21/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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More about this item
JEL classification:
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
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