4905. Statistics
| Title | 4905. Statistics |
|---|---|
| Parent | 49. Mathematical Sciences |
Latest research outputs
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Improved estimation for linear models under different loss functions
Hoque, Zahirul. 2004. Improved estimation for linear models under different loss functions. PhD Thesis Doctor of Philosophy. University of Southern Queensland.PhD Thesis
The application of the real-time multivariate Madden-Julian Oscillation Index to intraseasonal rainfall forecasting in the mid-latitudes
Donald, Alexis. 2004. The application of the real-time multivariate Madden-Julian Oscillation Index to intraseasonal rainfall forecasting in the mid-latitudes. Masters Thesis Master of Science. University of Southern Queensland.Masters Thesis
Examining the utility of a clustering method for analysing psychological test data
Dawes, Sharron Elizabeth. 2004. Examining the utility of a clustering method for analysing psychological test data. PhD Thesis Doctor of Philosophy. University of Southern Queensland.PhD Thesis
Computer algebra derives discretisations of the stochastically forced Burgers' partial differential equation
Roberts, A. J.. 2006. Computer algebra derives discretisations of the stochastically forced Burgers' partial differential equation. Toowoomba, Australia. University of Southern Queensland.Technical report
Computer algebra resolves a multitude of microscale interactions to model stochastic partial differential equations
Roberts, A. J.. 2005. Computer algebra resolves a multitude of microscale interactions to model stochastic partial differential equations. Toowoomba, Australia. University of Southern Queensland.Technical report
Resolving the multitude of microscale interactions accurately models stochastic partial differential equations
Roberts, A. J.. 2006. "Resolving the multitude of microscale interactions accurately models stochastic partial differential equations." LMS Journal of Computation and Mathematics. 9, pp. 193-221. https://doi.org/10.1112/S146115700000125XArticle
Estimation of the parameters of two parallel regression lines under uncertain prior information
Khan, Shahjahan. 2003. "Estimation of the parameters of two parallel regression lines under uncertain prior information." Biometrical Journal: journal of mathematical methods in biosciences. 45 (1), pp. 73-90. https://doi.org/10.1002/bimj.200290017Article
The role of the shape parameter in the estimation of the mean vector in multivariate Student-t population
Khan, Shahjahan. 2004. "The role of the shape parameter in the estimation of the mean vector in multivariate Student-t population." International Journal of Statistical Sciences. 3 (Special issue), pp. 69-89.Article
Improved estimation of the mean vector for Student-t model.
Khan, Shahjahan. 2000. "Improved estimation of the mean vector for Student-t model." Communications in Statistics: Theory and Methods. 29 (3), pp. 507-527.Article
Distribution of sum of squares and products matrices for the generalized multilinear matrix-T model
Khan, Shahjahan. 2002. "Distribution of sum of squares and products matrices for the generalized multilinear matrix-T model." Journal of Multivariate Analysis. 83, pp. 124-140. https://doi.org/10.1006/jmva.2001.2040Article
Distribution of future location vector and residual sum of squares for multivariate location-scale model with spherically contoured errors
Khan, Shahjahan and Kabir, Md Enamul. 2006. "Distribution of future location vector and residual sum of squares for multivariate location-scale model with spherically contoured errors." Journal of Statistical Theory and Applications. 5 (2), pp. 91-104.Article
Predictive distribution of regression vector and residual sum of squares for normal multiple regression model
Khan, Shahjahan. 2004. "Predictive distribution of regression vector and residual sum of squares for normal multiple regression model." Communications in Statistics: Theory and Methods. 33 (10), pp. 2423-2443. https://doi.org/10.1081/STA-200031471Article
Resolve the multitude of microscale interactions to holistically discretise the stochastically forced Burgers' partial differential equation
Roberts, A. J.. 2006. Resolve the multitude of microscale interactions to holistically discretise the stochastically forced Burgers' partial differential equation. Toowoomba, Australia. University of Southern Queensland.Technical report
Power-variance models for modelling rainfall
Dunn, Peter K. and White, Neil. 2005. "Power-variance models for modelling rainfall." Francis, A. R., Matawie, K. M., Oshlack, A. and Smyth, Gordon K. (ed.) 20th International Workshop on Statistical Modelling. Sydney, Australia 10 - 15 Jul 2005Paper
Exit chart analysis of parallel data convolutional codes
Xiang, Wei, Pietrobon, Steven S. and Leis, John. 2005. "Exit chart analysis of parallel data convolutional codes." Ohta, Naohisa (ed.) 2005 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2005). Hong Kong, China 13 - 16 Dec 2005 Hong Kong.Paper
Assessing schematic knowledge of introductory probability theory
Birney, Damian P., Fogarty, Gerard J. and Plank, Ashley. 2005. "Assessing schematic knowledge of introductory probability theory." Instructional Science. 33 (4), pp. 341-366. https://doi.org/10.1007/s11251-005-3198-7Article
Innovative and technology based methods of teaching statistics concepts
Nooriafshar, Mehryar. 2005. "Innovative and technology based methods of teaching statistics concepts." Rogerson, Alan (ed.) 8th International Conference of the Mathematics Education into the 21st Century Project: Reform, Revolution and Paradigm Shifts in Mathematics Education. Johor Bahru, Malaysia 25 Nov - 01 Dec 2005 University of Teknologi, Malaysia.Paper
We can still learn about probability by rolling dice and tossing coins
Dunn, Peter K.. 2005. "We can still learn about probability by rolling dice and tossing coins." Teaching Statistics. 27 (2), pp. 37-41. https://doi.org/10.1111/j.1467-9639.2005.00205.xArticle
Improved Estimation in Linear Dynamic Regression Model
Hoque, Zahirul and Gerlach, Richard. 2005. "Improved Estimation in Linear Dynamic Regression Model." Journal of Applied Statistical Science. 17 (2), pp. 309-314.Article
Preliminary test estimators for the multivariate normal mean based on the modified W, LR and LM tests
Khan, S. and Hoque, Z.. 2003. "Preliminary test estimators for the multivariate normal mean based on the modified W, LR and LM tests." Journal of Statistical Research. 37 (1), pp. 43-55.Article
The statistical analysis of quality traits in plant improvement programs with application to the mapping of milling yield in wheat
Smith, A. B., Cullis, B. R., Appels, R., Campbell, A. W., Cornish, G. B., Martin, D. and Allen, H. M.. 2001. "The statistical analysis of quality traits in plant improvement programs with application to the mapping of milling yield in wheat." Australian Journal of Agricultural Research. 52 (12), pp. 1207-1219. https://doi.org/10.1071/AR01058Article