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- Fields of Research (FOR 2008) (13775)
- 01 Mathematical Sciences (696)
- 0104 Statistics (183)
**010404 Probability Theory**(18)

- 0104 Statistics (183)

- 01 Mathematical Sciences (696)

Number of items at this level: **18**.

Khan, Shahjahan
(2014)
*Classical and Bayesian prediction for multivariate simple
regression model.*
Journal of Applied Probability and Statistics, 9 (1).
67- 78.
ISSN 1930-6792

Azad, Abul Kalam and Rasul, Mohammad Golam and Yusaf, Talal
(2014)
*Statistical diagnosis of the best weibull methods for wind power assessment for agricultural applications.*
Energies, 7 (5).
pp. 3056-3085.

Espada Jr., R. and Apan, A. and McDougall, K.
(2013)
*Using spatial modelling to develop flood risk and climate
adaptation capacity metrics for assessing urban community
and critical electricity infrastructure vulnerability.*
In: 20th International Congress on Modelling and Simulation (MODSIM 2013): Adapting to Change: The Multiple Roles of Modelling , 1-6 Dec 2013, Adelaide, Australia.

Trimmer, Karen
(2013)
*Butterflies and black swans: metaphors that provide new perspectives to understand quantitative models in educational research.*
In:
Metaphors for, in and of education research.
Cambridge Scholars Publishing, Newcastle Upon Tyne, United Kingdom, pp. 173-188.
ISBN 978-1-4438-4398-0

Arashi, Mohamed and Khan, Shahjahan
(2012)
*Bayesian prediction of matrix elliptical multivariate models with conjugate prior.*
In: 11th Islamic Countries Conference on Statistical Sciences (ICCSS 2011), 19-22 Dec 2011, Lahore, Pakistan.

Yunus, Rossita M. and Khan, Shahjahan
(2011)
*The bivariate noncentral chi-square distribution – a compound distribution approach.*
Applied Mathematics and Computation, 217 (13).
pp. 6237-6247.
ISSN 0096-3003

Hoque, Zahirul and Khan, Shahjahan and Wesolowski, Jacek
(2009)
*Performance of preliminary test estimator under linex loss function.*
Communications in Statistics: Theory and Methods, 38 (2).
pp. 252-261.
ISSN 0361-0926

Hassan, Anwar and Khan, Shahjahan
(2009)
*Prediction distribution of generalized geometric series distribution and its different forms.*
Pakistan Journal of Statistics, 25 (1).
pp. 47-57.
ISSN 1012-9367

Yevdokimov, Oleksiy
(2009)
*Problem set 4.*
Australian Senior Mathematics Journal, 23 (2).
p. 63.
ISSN 0819-4564

Al-Faris, Rand Q. and Khan, Shahjahan
(2008)
*Sine square distribution: a new statistical model based on the sine function.*
Journal of Applied Probability and Statistics, 3 (1).
pp. 163-173.
ISSN 1930-6792

Smith, Daniel R. and Layton, Allan P.
(2007)
*Comparing probability forecasts in Markov regime switching business cycle methods.*
Journal of Business Cycle Measurement and Analysis, 3 (1).
pp. 79-98.
ISSN 1729-3618

Xiang, Wei and Pietrobon, Steven S. and Leis, John
(2005)
*Exit chart analysis of parallel data convolutional codes.*
In: ISPACS 2005: International Symposium on Intellegent Signal Processing and Communication Systems, 13-16 Dec 2005, Hong Kong.

Birney, Damian P. and Fogarty, Gerard J. and Plank, Ashley
(2005)
*Assessing schematic knowledge of introductory probability theory.*
Instructional Science, 33 (4).
pp. 341-366.
ISSN 1573-1952

Dunn, Peter K.
(2005)
*We can still learn about probability by rolling dice and tossing coins.*
Teaching Statistics, 27 (2).
pp. 37-41.
ISSN 1467-9639

Kelly, R. M. and Strong, W. M. and Jensen, T. A. and Butler, D.
(2004)
*Application of probability analysis to assess nitrogen supply to grain crops in Northern Australia.*
Precision Agriculture, 5 (2).
pp. 95-110.
ISSN 1385-2256

Khennane, Amar and Melchers, Robert E.
(2003)
*A micromechanics model for environmental stress-corrosion in GFRP.*
International Journal of Materials and Product Technology, 19 (1).
pp. 2-14.
ISSN 0268-1900

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.
ISSN 0256-422X

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.
ISSN 0047-259X