References
Aerts M, Claeskens G, Hart JD (1999) Testing the fit of a parametric function. J Am Stat Assoc 94:869–879
Bissantz N, Claeskens G, Holzmann H, Munk A (2009) Testing for lack of fit in inverse regression—with applications to photonic imaging. J R Stat Soc, Ser B 71(1):25–48
Claeskens G (2004) Restricted likelihood ratio lack of fit tests using mixed spline models. J R Stat Soc, Ser B 66:909–926
Crainiceanu C, Ruppert D, Claeskens G, Wand MP (2005) Exact likelihood ratio tests for penalised splines. Biometrika 92(1):91–103
Eubank RL, Hart JD (1992) Testing goodness-of-fit in regression via order selection criteria. Ann Stat 20:1412–1425
Ghidey W, Lesaffre E, Eilers P (2004) Smooth random effects distribution in a linear mixed model. Biometrics 60(4):945–953
Komárek A, Lesaffre E (2008) Generalized linear mixed model with a penalized Gaussian mixture as a random effects distribution. Comput Stat Data Anal 52(7):3441–3458
Ledwina T (1994) Data-driven version of Neyman’s smooth test of fit. J Am Stat Assoc 89:1000–1005
Spitzer F (1956) A combinatorial lemma and its applications to probability theory. Trans Am Math Soc 82:323–339
Stoffer DS (1991) Walsh-Fourier analysis and its statistical applications. J Am Stat Assoc 86:461–485
Author information
Authors and Affiliations
Corresponding author
Additional information
This rejoinder refers to the comments available at: doi:10.1007/s11749-009-0149-7, doi:10.1007/s11749-009-0150-1, doi:10.1007/s11749-009-0151-0, doi:10.1007/s11749-009-0152-z, doi:10.1007/s11749-009-0153-y.
Rights and permissions
About this article
Cite this article
Claeskens, G., Hart, J.D. Rejoinder on: Goodness-of-fit tests in mixed models. TEST 18, 265–270 (2009). https://doi.org/10.1007/s11749-009-0154-x
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11749-009-0154-x