The Open UniversitySkip to content
 

Browse by Journal

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0 [Create Shortened URL] SURL
Group by: Published Date | Item Type | No Grouping
Number of items: 32.

Al-Awadhi, Shafiqah A. and Garthwaite, Paul H. (2006). Quantifying expert opinion for modelling fauna habitat distributions. Computational Statistics, 21(1) pp. 121–140.

Albers, C.J. and Schaafsma, W. (2003). Estimating a density by adapting an initial guess. Computational Statistics and Data Analysis, 42(1-2) pp. 27–36.

Blasius, Jörg; Eilers, Paul H. C. and Gower, John (2009). Better biplots. Computational Statistics and Data Analysis, 53(8) pp. 3145–3158.

Bowman, A. W.; Jones, M. C. and Gijbels, I. (1998). Testing monotonicity of regression. Journal of Computational and Graphical Statistics, 7(4) pp. 489–500.

Chu, M.T. and Trendafilov, N.T. (2001). The orthogonally constrained regression revisited. Journal of Computational and Graphical Statistics, 10(4) pp. 746–771.

Critchley, F.; Schyns , M. and Haesbroeck, G. (2010). RelaxMCD: Smooth optimisation for the Minimum Covariance Determinant estimator. Computational Statistics and Data Analysis, 54(4) pp. 843–857.

Enki, Doyo G. and Trendafilov, Nickolay T. (2012). Sparse principal components by semi-partition clustering. Computational Statistics, 27(4) pp. 605–626. file

Gardner, Sugnet; Gower, John C. and le Roux, N.J. (2006). A Synthesis of canonical variate analysis, generalised canonical correlation and Procrustes analysis. Computational Statistics and Data Analysis, 50(1) pp. 107–134.

Garthwaite, Paul H. and Jones, M. C. (2009). A stochastic approximation method and its application to confidence intervals. Journal of Computational and Graphical Statistics, 18(1) pp. 184–200.

Gower, John C. (2006). An application of the modified Leverrier–Faddeev algorithm to the spectral decomposition of symmetric block-circulant matrices. Computational Statistics and Data Analysis, 50(1) pp. 89–106.

Gower, John C. (2000). Rank-one and rank-two departures from symmetry. Computational Statistics and Data Analysis, 33(2) pp. 177–188.

Gower, J. C.; Groenen, P. J. F. and Van der Velden, M. (2010). Area biplots. Journal of Computational and Graphical Statistics, 19(1) pp. 46–61.

Gower, John C. (2010). Procrustes methods. Wiley Interdisciplinary Reviews: Computational Statistics, 2(4) pp. 503–508.

Jolliffe, I.T.; Trendafilov, N.T. and Uddin, M. (2003). A modified principal component technique based on the LASSO. Journal of Computational and Graphical Statistics, 12(3) pp. 531–547. file

Jones, Chris and Henderson, D. A. (2009). Maximum likelihood kernel density estimation: On the potential of convolution sieves. Computational Statistics and Data Analysis, 53(10) pp. 3726–3733. file

Jones, Chris; Marron, J. S. and Sheather, S. J. (1996). Progress in data-based bandwidth selection for kernel density estimation. Computational Statistics(11) pp. 337–381.

Jones, M. C. (1991). On correcting for variance inflation in kernel density estimation. Computational Statistics and Data Analysis, 11(1) pp. 3–15.

Musonda, Patrick; Hocine, Mounia N.; Whitaker, Heather J. and Farrington, C. Paddy (2008). Self-controlled case series method: small sample performance. Computational Statistics and Data Analysis, 52(4) pp. 1942–1957. file

Noufaily, Angela and Jones, M. C. (2012). On maximization of the likelihood for the generalized gamma distribution. Computational Statistics, 28 pp. 505–517. file

Trendafilov, N. T. and Vines, K. (2009). Simple and interpretable discrimination. Computational Statistics and Data Analysis, 53(4) pp. 979–989.

Trendafilov, Nickolay T. (2006). The Dynamical System Approach to Multivariate Data Analysis. Journal of Computational and Graphical Statistics, 15(3) pp. 628–650.

Trendafilov, Nickolay T. and Jolliffe, Ian T. (2006). Projected gradient approach to the numerical solution of the SCoTLASS. Computational Statistics and Data Analysis, 50(1) pp. 242–253.

Trendafilov, Nickolay T. and Jolliffe, Ian T. (2007). DALASS: Variable selection in discriminant analysis via the LASSO. Computational Statistics and Data Analysis, 51(8) pp. 3718–3736.

Trendafilov, Nickolay T. (2010). Stepwise estimation of common principal components. Computational Statistics and Data Analysis, 54(12) pp. 3446–3457. file

Trendafilov, Nickolay T. and Unkel, Steffen (2011). Exploratory factor analysis of data matrices with more variables than observations. Journal of Computational and Graphical Statistics, 20(4) pp. 874–891.

Unkel, S. and Trendafilov, N. T. (2010). A majorization algorithm for simultaneous parameter estimation in robust exploratory factor analysis. Computational Statistics and Data Analysis, 54(12) pp. 3348–3358.

Unkel, Steffen and Trendafilov, Nickolay T. (2013). Zig-zag exploratory factor analysis with more variables than observations. Computational Statistics, 28(1) pp. 107–125.

Unkel, Steffen and Trendafilov, Nickolay T. (2013). Zig-zag exploratory factor analysis with more variables than observations. Computational Statistics, 28(1) pp. 107–125. file

Wand, M. P. and Jones, Chris (1994). Multivariate plug-in bandwidth selection. Computational Statistics, 9(2) pp. 97–116.

Wieringa, Jaap; Dijksterhuis, Garmt; Gower, John and van Perlo, Frederieke (2009). Generalised procrustes analysis with optimal scaling: exploring data from a power supplier. Computational Statistics and Data Analysis, 53(12) pp. 4546–4554. file

Yu, Keming and Jones, M. C. (1997). A comparison of local constant and local linear regression quantile estimators. Computational Statistics and Data Analysis, 25(2) pp. 159–166.

Yu, Keming and Jones, M. C. (1997). A comparison of local constant and local linear regression quantile estimators. Computational Statistics and Data Analysis, 25(2) pp. 159–166.

This list was generated on Thu Oct 30 14:32:15 2014 GMT.

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340   general-enquiries@open.ac.uk