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1990 Journal Article Algorithm AS 254: maximum likelihood estimation from grouped and truncated data with finite normal mixture modelsJones, P. N. and McLachlan, G. J. (1990). Algorithm AS 254: maximum likelihood estimation from grouped and truncated data with finite normal mixture models. Applied Statistics - Journal of the Royal Statistical Society Series C, 39 (2), 273-282. doi: 10.2307/2347776 |
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1990 Journal Article Laplace-normal mixtures fitted to wind shear dataJones, P. N. and McLachlan, G. J. (1990). Laplace-normal mixtures fitted to wind shear data. Journal of Applied Statistics, 17 (2), 271-276. doi: 10.1080/757582839 |
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1989 Journal Article Mixture-Models for Partially Unclassified Data - a Case-Study of Renal Venous Renin in HypertensionMcLachlan, GJ and Gordon, RD (1989). Mixture-Models for Partially Unclassified Data - a Case-Study of Renal Venous Renin in Hypertension. Statistics in Medicine, 8 (10), 1291-1300. doi: 10.1002/sim.4780081012 |
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1989 Journal Article Bias Associated with the Discriminant-Analysis Approach to the Estimation of Mixing ProportionsLawoko, Cro and McLachlan, GJ (1989). Bias Associated with the Discriminant-Analysis Approach to the Estimation of Mixing Proportions. Pattern Recognition, 22 (6), 763-766. doi: 10.1016/0031-3203(89)90012-5 |
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1989 Journal Article Modeling Mass-Size Particle Data by Finite MixturesJones, PN and McLachlan, GJ (1989). Modeling Mass-Size Particle Data by Finite Mixtures. Communications in Statistics-Theory and Methods, 18 (7), 2629-2646. doi: 10.1080/03610928908830054 |
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1988 Journal Article Fitting Mixture-Models to Grouped and Truncated Data Via the Em AlgorithmMcLachlan, GJ and Jones, PN (1988). Fitting Mixture-Models to Grouped and Truncated Data Via the Em Algorithm. Biometrics, 44 (2), 571-578. doi: 10.2307/2531869 |
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1988 Journal Article Further Results On Discrimination with Auto-Correlated ObservationsLawoko, Cro and McLachlan, GJ (1988). Further Results On Discrimination with Auto-Correlated Observations. Pattern Recognition, 21 (1), 69-72. doi: 10.1016/0031-3203(88)90073-8 |
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1988 Journal Article On the Choice of Starting Values for the Em Algorithm in Fitting Mixture-ModelsMcLachlan, GJ (1988). On the Choice of Starting Values for the Em Algorithm in Fitting Mixture-Models. Statistician, 37 (4-5), 417-425. doi: 10.2307/2348768 |
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1988 Book Mixture models : inference and applications to clusteringMcLachlan, Geoffrey J. and Basford, Kaye E. (1988). Mixture models : inference and applications to clustering. New York, United States: Marcel Dekker. |
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1987 Journal Article A Note On the Aitkin-Rubin Approach to Hypothesis-Testing in Mixture-ModelsQuinn, BG, McLachlan, GJ and Hjort, NL (1987). A Note On the Aitkin-Rubin Approach to Hypothesis-Testing in Mixture-Models. Journal of the Royal Statistical Society Series B-Methodological, 49 (3), 311-314. doi: 10.1111/j.2517-6161.1987.tb01700.x |
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1987 Journal Article On Bootstrapping the Likelihood Ratio Test Statistic for the Number of Components in a Normal MixtureMcLachlan, GJ (1987). On Bootstrapping the Likelihood Ratio Test Statistic for the Number of Components in a Normal Mixture. Applied Statistics-Journal of the Royal Statistical Society Series C, 36 (3), 318-324. doi: 10.2307/2347790 |
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1986 Journal Article Assessing the Performance of An Allocation RuleMcLachlan, GJ (1986). Assessing the Performance of An Allocation Rule. Computers & Mathematics with Applications-Part a, 12 (2), 261-272. doi: 10.1016/0898-1221(86)90079-9 |
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1986 Journal Article Asymptotic Error Rates of the W-Statistics and Z-Statistics When the Training Observations Are DependentLawoko, Cro and McLachlan, GJ (1986). Asymptotic Error Rates of the W-Statistics and Z-Statistics When the Training Observations Are Dependent. Pattern Recognition, 19 (6), 467-471. doi: 10.1016/0031-3203(86)90045-2 |
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1985 Journal Article Estimation of allocation rates in a cluster-analysis contextBasford, K. E. and McLachlan, G. J. (1985). Estimation of allocation rates in a cluster-analysis context. Journal of the American Statistical Association, 80 (390), 286-293. doi: 10.2307/2287884 |
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1985 Journal Article Likelihood Estimation with Normal Mixture-ModelsBasford, KE and McLachlan, GJ (1985). Likelihood Estimation with Normal Mixture-Models. Applied Statistics-Journal of the Royal Statistical Society Series C, 34 (3), 282-289. doi: 10.2307/2347474 |
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1985 Journal Article Cluster-Analysis in a Randomized Complete Block DesignBasford, KE and McLachlan, GJ (1985). Cluster-Analysis in a Randomized Complete Block Design. Communications in Statistics-Theory and Methods, 14 (2), 451-463. doi: 10.1080/03610928508828924 |
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1985 Journal Article The Mixture Method of Clustering Applied to 3-Way DataBasford, KE and McLachlan, GJ (1985). The Mixture Method of Clustering Applied to 3-Way Data. Journal of Classification, 2 (1), 109-125. doi: 10.1007/BF01908066 |
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1985 Journal Article Discrimination with Auto-Correlated ObservationsLawoko, Cro and McLachlan, GJ (1985). Discrimination with Auto-Correlated Observations. Pattern Recognition, 18 (2), 145-149. doi: 10.1016/0031-3203(85)90038-X |
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1984 Journal Article Estimation of Mixing Proportions - a Case-StudyDo, K and McLachlan, GJ (1984). Estimation of Mixing Proportions - a Case-Study. Applied Statistics-Journal of the Royal Statistical Society Series C, 33 (2), 134-140. doi: 10.2307/2347437 |
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1983 Journal Article Some Asymptotic Results On the Effect of Auto-Correlation On the Error Rates of the Sample Linear Discriminant FunctionLawoko, Cro and McLachlan, GJ (1983). Some Asymptotic Results On the Effect of Auto-Correlation On the Error Rates of the Sample Linear Discriminant Function. Pattern Recognition, 16 (1), 119-121. doi: 10.1016/0031-3203(83)90014-6 |
