References
- Banfield, J.D. and Raftery, A.E. , 1993. Model-based gaussian and non-gaussian clustering. Biometrics, 49, 803–821.
- Daeyoung, K. and Lindsay, B.G. , 2015. Empirical identifiability in finite mixture models. Annals of the Institute of Statistical Mathematics, 67 (4), 745–772.
- Defays, D. , 1977. An efficient algorithm for a complete link method. The Computer Journal, 20 (4), 364–366.
- Dempster, A.P. , Laird, N.M. , and Rubin, D.B. , 1977. Maximum likelihood from incomplete data via the em algorithm. Journal of the royal statistical society. Series B (methodological), 39, 1–38.
- Fraley, C. and Raftery, A.E. , 2002. Model-based clustering, discriminant analysis and density estimation. Journal of the American Statistical Association, 97, 611–631.
- Hamilton, J.D. , 1994. Time series analysis,. vol 2. Princeton, NJ: Princeton University Press.
- Hartigan, J.A. and Wong, M.A. , 1979. Algorithm as 136: a k-means clustering algorithm. Journal of the Royal Statistical Society. Series C, 28 (1), 100–108.
- Hong, F. and Prozzi, J.A. , 2006. Estimation of pavement performance deterioration using bayesian approach. Journal of Infrastructure Systems, 12 (2), 77–86.
- Laitila, T. and Karlsson, M. , 2014. Finite mixture modeling of censored regression models. Statistical Papers, 55 (3), 627–642.
- Lee, S.Q. , Lartillot, N. , and Gascuel, O. , 2008. Phylogenetic mixture models for proteins. Philosophical Transactions of the Royal Society B: Biological Sciences, 363 (1512), 3965–3976.
- Lethanh, N. and Adey, B.T. , 2012. Use of exponential hidden markov models for modelling pavement deterioration. International Journal of Pavement Engineering, 14 (7), 645–654.
- McLachlan, G. and Krishnan, T. , 2007. The EM algorithm and extensions,. vol 382. New Jersey: Wiley.
- McLachlan, G. and Peel, D. , 2000. Finite mixture models. New York: Wiley.
- McLachlan, G.J. and Basford, K.E. , 1988. Mixture models. Inference and applications to clustering. New York: Dekker.
- Odoki, J. and Kerali, H.G. , 2000. Highway development and management series: analytical framework and model descriptions. La Defénse Cedex: World Road Association (PIARC).
- Pagel, M. and Meade, A. , 2004. A phylogenetic mixture model for detecting pattern-heterogeneity in gene sequence or character-state data. Systematic Biology, 53 (4), 571–581.
- Park, B.-J. and Lord, D. , 2009. Application of finite mixture models for vehicle crash data. Accident Analysis & Prevention, 14 (4), 683–691.
- Schwartz, G. , 1978. Estimating the dimenson of a model. The Annals of Statistics, 6, 461–464.
- Sibson, R. , 1973. Slink: an optimally efficient algorithm for the single-link cluster method. The Computer Journal, 16 (1), 30–34.
- Steinhaus, H. , 1956. Sur la division des corp materiels en parties. Bulletin L’Académie Polonaise des Science, 1, 801–804.
- Svenson, K. , et al. , 2016. Evaluating needs of road maintenance in Sweden with the mixed proportional hazards model. Transportation Research Record: Journal of the Transportation Research Board, 2589, 51–58.
- Ward, J.H. Jr , 1963. Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association, 58 (301), 236–244.
- Watanatada, T. , 1987. The highway design and maintenance standards model: user’s manual for the HDM-III model,. vol 2. Baltimore: Johns Hopkins University Press.