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Articles

Finite mixture of regression models for a stratified sample

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Pages 2782-2800 | Received 21 Mar 2019, Accepted 24 Jun 2019, Published online: 06 Jul 2019

References

  • Kish L. Survey sampling. Oxford, England: Wiley; 1965.
  • Cochran WG. Sampling techniques. 3rd ed. New York: Wiley; 1977.
  • Kalton G, Graham K. Introduction to survey sampling. Newbury Park, California: Sage; 1983.
  • Lohr S. Sampling: design and analysis. 2nd ed. Boston, Mass: Brooks/Cole Cengage Learning; 2010.
  • Neyman J. On the two different aspects of the representative method: the method of stratified sampling and the method of purposive selection. J R Stat Soc. 1934;97(4):558–625. Available from: http://www.jstor.org/stable/2342192. doi: 10.2307/2342192
  • Zhang C, editor. Special section on complex surveys. New York: The Institute of Mathematical Statistics; 2017.
  • Pfeffermann D. The role of sampling weights when modeling survey data. Inter Stat Rev. 1993;61:317–337. doi: 10.2307/1403631
  • Lumley T, Scott A. Fitting regression models to survey data. Stat Sci. 2017;32(2):265–278. doi: 10.1214/16-STS605
  • Skinner C, Holt D, Smith T, editors. Analysis of complex surveys. New York: Wiley; 1989.
  • Binder DA. On the variances of asymptotically normal estimators from complex surveys. Inter Stat Rev/Revue Int Stat. 1983;51:279–292. doi: 10.2307/1402588
  • Wedel M, Ter Hofstede F, Steenkamp JBE. Mixture model analysis of complex samples. J Classif. 1998;15(2):225–244. doi: 10.1007/s003579900032
  • McLachlan G, Peel D. Finite Mixture Models. New York: Wiley; 2000.
  • Leisch F. FlexMix: a general framework for finite mixture models and latent class regression in R. J Stat Softw. 2004;11(8):1–18. Available from: http://www.jstatsoft.org/v11/i08/. doi: 10.18637/jss.v011.i08
  • Grün B, Leisch F. Finite mixtures of generalized linear regression models. Heidelberg: Physica-Verlag HD; 2008. p. 205–230.
  • Benaglia T, Chauveau D, Hunter DR, et al. An R package for analyzing finite mixture models. J Stat Softw. 2009;32(6):1–29. Available from: https://hal.archives-ouvertes.fr/hal-00384896. doi: 10.18637/jss.v032.i06
  • Horvitz DG, Thompson DJ. A generalization of sampling without replacement from a finite universe. J Am Stat Assoc. 1952;47(260):663–685. doi: 10.1080/01621459.1952.10483446
  • Natarajan S, Lipsitz SR, Fitzmaurice G, et al. Variance estimation in complex survey sampling for generalized linear models. J R Stat Soc Ser C. 2008;57(1):75–87. doi: 10.1111/j.1467-9876.2007.00601.x
  • Sugden RA, Smith TMF. Ignorable and informative designs in survey sampling inference. Biometrika. 1984;71(3):495–506. Available from: http://www.jstor.org/stable/2336558. doi: 10.1093/biomet/71.3.495
  • Dempster AP, Laird NM, Rubin DB. Maximum likelihood from incomplete data via the EM algorithm. J R Stat Soc Ser B. 1977;39(1):1–38. Available from: http://www.jstor.org/stable/2984875.
  • Chambers RL, Skinner CJ. Analysis of survey data. New York: Wiley; 2003.
  • Baudry JP, Celeux G. Em for mixtures. Stat Comput. 2015;25(4):713–726. doi: 10.1007/s11222-015-9561-x
  • Maitra R. Initializing partition-optimization algorithms. IEEE/ACM Trans Comput Biol Bioinf. 2009;6(1):144–157. Available from: http://dx.doi.org/10.1109/TCBB.2007.70244.
  • Michael S, Melnykov V. An effective strategy for initializing the em algorithm in finite mixture models. Adv Data Anal Classif. 2016;10(4):563–583. doi: 10.1007/s11634-016-0264-8
  • Schwarz G. Estimating the dimension of a model. Annal Stat. 1978;6(2):461–464. doi: 10.1214/aos/1176344136
  • Hennig C. Identifiablity of models for clusterwise linear regression. J Classif. 2000;17(2):273–296. doi: 10.1007/s003570000022
  • Grün B, Leisch F. Bootstrapping finite mixture models. In: Antoch J, editor. Compstat 2004–proceedings in computational statistics. Heidelberg, Germany: Physika Verlag; 2004. p. 1115–1122.
  • Lumley T. Analysis of complex survey samples. J Stat Softw. 2004;9(1):1–19. r package version 2.2.

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