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1992 Journal Article Cluster analysis and related techniques in medical researchMclachlan G.J. (1992). Cluster analysis and related techniques in medical research. Statistical Methods in Medical Research, 1 (1), 27-48. doi: 10.1177/096228029200100103 |
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1992 Book Discriminant analysis and statistical pattern recognitionMcLachlan, Geoffrey John (1992). Discriminant analysis and statistical pattern recognition. New York , United States: Wiley. |
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1992 Book Discriminant analysis and statistical pattern recognitionMcLachlan, Geoffrey J. (1992). Discriminant analysis and statistical pattern recognition. Hoboken, NJ, USA: John Wiley & Sons. doi: 10.1002/0471725293 |
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1991 Conference Publication Allograft aortic valve replacement: Long-term comparative clinical analysis of the viable cryopreserved and antibiotic 4 °C stored valvesO'Brien, M. F., McGiffin, D. C., Stafford, E. G., Gardner, M. A.H., Pohlner, P. F., McLachlan, G. J., Gall, K., Smith, S. and Murphy, E. (1991). Allograft aortic valve replacement: Long-term comparative clinical analysis of the viable cryopreserved and antibiotic 4 °C stored valves. V International Symposium on Cardiac Bioprostheses, Avignon, France, 24–27 May 1991. Hoboken, NJ United States: Wiley-Blackwell. doi: 10.1111/jocs.1991.6.4s.534 |
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1991 Journal Article The analysis of time-related events after cardiac surgeryMcGiffen, David C. and McLachlan, Geoffrey J. (1991). The analysis of time-related events after cardiac surgery. The AustralAsian Journal of Cardiac and Thoracic Surgery, 1 (1), 11-13. doi: 10.1016/1037-2091(91)90007-Y |
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1991 Journal Article Fitting Mixture Distributions to Phenylthiocarbamide (ptc) SensitivityJones, PN and McLachlan, GJ (1991). Fitting Mixture Distributions to Phenylthiocarbamide (ptc) Sensitivity. American Journal of Human Genetics, 48 (1), 117-120. |
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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 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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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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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 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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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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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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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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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 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 |
