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Number of items: 137.

Book Chapter

Faria, Àlvaro E. and Smith, Jim Q. (1996). Conditional external Bayesianity in decomposable influence diagrams. In: Bernardo, J. M.; Berger, J. O.; Dawid, A. P. and Smith, A. F. M. eds. Bayesian Statistics 5: Proceedings of the Fifth Valencia International Meeting, June 5-9, 1994. Oxford: Clarendon Press, pp. 551–560.

Journal Article

Al-Awadhi, Shafeeqah A. and Garthwaite, Paul H. (1998). An elicitation method for multivariate normal distributions. Communications in Statistics - Theory and Methods, 27(5) pp. 1123–1142.

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.

Albers, Casper J. and Schaafsma, Willem (2008). Goodness of fit testing using a specific density estimate. Statistics & Decisions, 26(1) pp. 3–23. file

Anacleto Junior, Osvaldo; Queen, Catriona and Albers, Casper (2013). Multivariate forecasting of road traffic flows in the presence of heteroscedasticity and measurement errors. Journal of the Royal Statistical Society: Series C (Applied Statistics), 62(2) pp. 251–270. file

Anacleto Junior, Osvaldo; Queen, Catriona and Albers, Casper (2013). Forecasting multivariate road traffic flows using Bayesian dynamic graphical models, splines and other traffic variables. Australian & New Zealand Journal of Statistics, 55(2) pp. 69–86. file

Anaya-Izquierdo, Karim; Critchley, Frank and Vines, Karen (2011). Orthogonal simple component analysis: a new, exploratory approach. Annals of Applied Statistics, 5(1) pp. 486–522. file

Arnold, Gillian M; Gower, John C; Gardner-Lubbe, Sugnet and Le Roux, Niël J (2007). Biplots of free-choice profile data in generalized orthogonal Procrustes analysis. Journal of the Royal Statistical Society: Series C (Applied Statistics), 56(4) pp. 445–458.

Aucott, Lorna S.; Garthwaite, Paul H. and Curral, James (2000). Regression methods for high-dimensional multicollinear data. Communications in Statistics: Simulation and Computation, 29(4) pp. 1021–1037.

Bertie, Andrew and Farrington, Paddy (2003). Teaching confidence intervals with Java applets. Teaching Statistics, 25(3) pp. 70–74.

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, Frank and Jones, M. C. (2008). Asymmetry and gradient asymmetry functions: density-based skewness and kurtosis. Scandinavian Journal of Statistics, 35(3) pp. 415–437.

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.

Critchley, Frank; Schyns, Michael; Haesbroeck, Gentiane; Fauconnier, Cecile; Lu, Guobing; Atkinson, Richard A. and Wang, Dong Qian (2010). A relaxed approach to combinatorial problems in robustness and diagnostics. Statistics and Computing, 20(1) pp. 99–115.

Denis, Jean-Baptise and Gower, John C. (1996). Asymptotic confidence regions for biadditive models: interpreting genotype-environment interactions. Journal of the Royal Statistical Society: Series C (Applied Statistics), 45(4) pp. 479–493.

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

Enki, Doyo G.; Trendafilov, Nickolay T. and Jolliffe, Ian T. (2013). A clustering approach to interpretable principal components. Journal of Applied Statistics, 40(3) pp. 583–599. restricted access item, not available for direct download

Faddy, M. F. and Jones, M. C. (1999). Modelling and analysis of data that exhibit temporal decay. Journal of the Royal Statistical Society: Series C (Applied Statistics), 48(2) pp. 229–237.

Faria, Alvaro and Mubwandarikwa, Emmanuel (2008). Multimodality on the geometric combination of Bayesian forecasting models. International Journal of Statistics and Management Systems, 3(1-2) pp. 1–25.

Faria, Àlvaro and Smith, Jim Q. (1997). Conditionally externally Bayesian pooling operators in chain graphs. The Annals of Statistics, 25(4) pp. 1740–1761. file

Farrington, C.P.; Kanaan, M.N. and Gay, N.J. (2001). Estimation of the basic reproduction number for infectious diseases from age-stratified serological survey data. Journal of the Royal Statistical Society: Series C (Applied Statistics), 50(3) pp. 251–292.

Farrington, C.P. and Whitaker, H.J. (2006). Semiparametric analysis of case series data. Journal of the Royal Statistical Society: Series C (Applied Statistics), 55(5) pp. 553–594.

Farrington, Paddy (2002). Interval estimation for Poisson capture-recapture models in epidemiological studies. Statistics in Medicine, 21(20) pp. 3079–3092.

Farrington, C. P. and Gay, N. J. (1999). Interval censored survival data with informative examination times: parametric models and approximate inference. Statistics in Medicine, 18(10) pp. 1235–1248.

Farrington, C. Paddy and Hocine, Mounia N. (2010). Within-individual dependence in self-controlled case series models for recurrent events. Journal of the Royal Statistical Society: Series C (Applied Statistics), 59(3) pp. 457–475.

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, P. H. (1992). Preposterior expected loss as a scoring rule for prior distributions. Communications in Statistics - Theory and Methods, 21(12) pp. 3601–3619.

Garthwaite, P. H. and Al-Awadhi, S. A. (2001). Prior distribution assessment for a multivariate normal distribution: an experimental study. Journal of Applied Statistics, 28(1) pp. 5–23.

Garthwaite, P. H. and Buckland, S. T. (1992). Generating Monte Carlo confidence intervals by the Robbins-Monro Process. Journal of the Royal Statistical Society: Series C (Applied Statistics), 41(1) pp. 159–171.

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.

Garthwaite, Paul H. and Crawford, John R. (2011). Inferences for a binomial proportion in the presence of ties. Journal of Applied Statistics, 38(9) pp. 1915–1934.

Garthwaite, Paul H. and Dickey, James M. (1992). Elicitation of prior distributions of variable-selection problems in regression. Annals of Statistics, 20(4) pp. 1697–1719. file

Garthwaite, Paul H. and Mubwandarikwa, Emmanuel (2010). Selection of weights for weighted model averaging. Australian & New Zealand Journal of Statistics, 52(4) pp. 363–382.

Garthwaite, Paul H. and Mubwandarikwa, Emmanuel (2010). Selection of weights for weighted model averaging. Australian & New Zealand Journal of Statistics, 52(4) pp. 363–382.

Gower, John (2008). The biological stimulus to multidimensional data analysis. Electronic Journal for History of Probability and Statistics, 4(2)

Gower, John (2003). Unified biplot geometry. metodološki zvezki (Develpments in Applied Statistics), 19 pp. 3–22.

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. (1998). The role of constraints in determining optimal scores. Statistics in Medicine, 17(23) pp. 2709–2721.

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, J. C. and Krzanowski, W. J. (1999). Analysis of distance for structured multi-variate data. Journal of the Royal Statistical Society. Series C (Applied Statistics), 48(4) pp. 505–519.

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

Hall, P. and Jones, Chris (1990). Adaptive M-estimation in nonparametric regression. Annals of Statistics, 18(4) pp. 1712–1728.

Hilliam, R. M. (2005). Statistical discrimination in the presence of selection effects. Statistics in Medicine, 24(8) pp. 1219–1232. file

Hilliam, Rachel M and Lawrance, Anthony J (2005). Chaos communication synchronization: Combatting noise by distribution transformation. Statistics and Computing, 15(1) pp. 43–52. file

Hjort, N. L. and Jones, M. C. (1996). Locally parametric nonparametric density estimation. Annals of Statistics, 24(4) pp. 1619–1647.

Hocine, Mounia N.; Musonda, Patrick; Andrews, Nick J. and Farrington, Paddy (2009). Sequential case series analysis for pharmacovigilance. Journal of the Royal Statistical Society: Series A (Statistics in Society), 172(1) pp. 213–236.

In-Sun, Nam; Mengersen, Kerrie and Garthwaite, Paul (2003). Multivariate meta-analysis. Statistics in Medicine, 22(14) pp. 2309–2333. file

Iossif, Gillian (1999). The graphics calculator as a teaching aid in statistics. Teaching Statistics, 21(2) pp. 45–48.

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 (2004). The moments of the beta-normal distribution with integer parameters are the moments of order statistics from the normal distribution (letter). Communications in Statistics - Theory and Methods, 33, pp. 2869–2870.

Jones, M. C. (2007). On a class of distributions defined by the relationship between their density and distribution functions. Communications in Statistics - Theory and Methods, 36(10) pp. 1835–1843.

Jones, M. C. (2002). A dependent bivariate t distribution with marginals on different degrees of freedom. Statistics & Probability Letters, 56(2) pp. 163–170.

Jones, M. C. (2002). On fractional uniform order statistics. Statistics & Probability Letters, 58(1) pp. 93–96.

Jones, M. C. and Koch, I. (2003). Dependence maps: local dependence in practice. Statistics and Computing, 13(3) pp. 241–255.

Jones, Chris (1993). Simple boundary correction for kernel estimation. Statistics and Computing, 3(3) pp. 135–146.

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. (2010). Distributions generated by transformations of scale using an extended Schlömilch transformation. Sankhya A : The Indian Journal of Statistics, 72(2) pp. 359–375.

Jones, M. C. (1995). Local and variable bandwidths and local linear regression. Statistics: A journal of Theoretical and Applied Statistics, 27(1-2) pp. 65–71.

Jones, M. C. (1995). On higher order kernels. Journal of Nonparametric Statistics, 5(2) pp. 215–221.

Jones, M. C. (1995). On two recent papers of Y. Kanazawa. Statistics and Probability Letters, 24(3) pp. 269–271.

Jones, M. C. (1994). Expectiles and M-quantiles are quantiles. Statistics and Probability Letters, 20(2) pp. 149–153.

Jones, M. C. (1994). On kernel density derivative estimation. Communications in Statistics: Theory and Methods, 23(8) pp. 2133–2139.

Jones, M. C. (1993). Do not weight for heteroscedasticity in nonparametric regression. Australian Journal of Statistics, 35(1) pp. 89–92.

Jones, M. C. (1993). Kernel density estimation when the bandwidth is large. Australian Journal of Statistics, 35(3) pp. 319–326.

Jones, M. C. (1992). Potential for automatic bandwidth choice in variations on kernel density estimation. Statistics & Probability Letters, 13(5) pp. 351–356.

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

Jones, M. C. (1991). The roles of ISE and MISE in density estimation. Statistics and Probability Letters, 12(1) pp. 51–56.

Jones, M. C. (1990). Variable kernel density estimates and variable kernel density estimates. Australian Journal of Statistics, 32(3) pp. 361–371.

Jones, M. C. (1990). The performance of kernel density functions in kernel distribution function estimation. Statistics and Probability Letters, 9(2) pp. 129–132.

Jones, M. C. (2012). Relationships between distributions with certain symmetries. Statistics and Probability Letters, 82(9) pp. 1737–1744.

Jones, M. C. and Arnold, Barry C. (2008). Distributions that are both log-symmetric and R-symmetric. Electronic Journal of Statistics, 2 pp. 1300–1308. file

Jones, M. C. and Bradbury, I. S. (1993). Kernel smoothing for finite populations. Statistics and Computing, 3(1) pp. 45–50.

Jones, M. C. and Daly, F (1995). Density probability plots. Communications in Statistics - Simulation and Computation, 24(4) pp. 911–927.

Jones, M. C. and Foster, P. J. (1993). Generalized jackknifing and higher order kernels. Journal of Nonparametric Statistics, 3(1) pp. 81–94.

Jones, M. C. and Hall, Peter (1990). Mean squared error properties of kernel estimates of regression quantiles. Statistics and Probability Letters, 10(2) pp. 283–289.

Jones, M. C. and Handcock, M. S. (1991). Determination of anaerobic threshold: what anaerobic threshold? Canadian Journal of Statistics, 19(2) pp. 236–239.

Jones, M. C. and Hössjer, O. (1996). From basic to reduced bias kernel density estimators: links via Taylor series approximations. Journal of Nonparametric Statistics, 7(1) pp. 23–34.

Jones, M. C. and Kappenman, R. F. (1991). On a class of kernel density estimate bandwidth selectors. Scandinavian Journal of Statistics, 19(4) pp. 337–349.

Jones, M. C. and Karunamuni, R. J. (1997). Fourier series estimation for length biased data. Australian & New Zealand Journal of Statistics, 39(1) pp. 57–68.

Jones, M. C.; Marron, J. S. and Park, B. U. (1991). A simple root n bandwidth selector. Annals of Statistics, 19(4) pp. 1919–1932.

Jones, M. C. and Sheather, S. J. (1991). Using non-stochastic terms to advantage in kernal-based estimation of integrated squared density derivatives. Statistics and Probability Letters, 11(6) pp. 511–514.

Kuhnert, Ronny; Hecker, Hartmut; Poethko-Müller, Christina; Schlaud, Martin; Venneman, Mechtild; Whitaker, Heather J. and Farrington, C. Paddy (2011). A modified self-controlled case series method to examine association between multidose vaccinations and death. Statistics in Medicine, 30(6) pp. 666–677.

Lubbe-Gardner, Sugnet; le Roux, Niël J. and Gower, John C. (2008). Measures of fit in principal component and canonical variate analysis. Journal of Applied Statistics, 35(9) pp. 947–965.

Musonda, Patrick; Farrington, C. Paddy and Whitaker, Heather J. (2006). Sample sizes for self-controlled case series studies. Statistics in Medicine, 25(15) pp. 2618–2631.

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

Nielsen, Jens Perch; Tanggaard, Carsten and Jones, M. C. (2009). Local linear density estimation for filtered survival data, with bias correction. Statistics, 43(2) pp. 167–186. file

Noufaily, Angela; Enki, Doyo G.; Farrington, Paddy; Garthwaite, Paul; Andrews, Nick and Charlett, André (2013). An improved algorithm for outbreak detection in multiple surveillance systems. Statistics in Medicine, 32(7) pp. 1206–1222.

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

Noufaily, Angela and Jones, M. C. (2013). Parametric quantile regression based on the generalized gamma distribution. Journal of the Royal Statistical Society: Series C (Applied Statistics), 62(5) pp. 723–740.

Park, B. U.; Jeong, Seok-Oh; Jones, M. C. and Kang, Kee-Hoon (2003). Adaptive variable location kernel density estimators with good performance at boundaries. Journal of Nonparametric Statistics, 15(1) pp. 61–75.

Park, B.U.; Kim, W.C. and Jones, M.C. (2002). On local likelihood density estimation. Annals of Statistics, 30(5) pp. 1480–1495.

Park, B. U.; Kim, W. C. and Jones, M. C. (1997). On identity reproducing nonparametric regression estimators. Statistics & Probability Letters, 32(3) pp. 279–290.

Park, B. U.; Kim, W. C.; Ruppert, D.; Jones, M. C.; Signorini, D. F. and Kohn, R. (1997). Simple transformation techniques for improved nonparametric regression. Scandinavian Journal of Statistics, 24(2) pp. 145–163.

Pewsey, A.; Lewis, T. and Jones, M.C. (2007). The wrapped t family of circular distributions. Australian and New Zealand Journal of Statistics, 49(1) pp. 79–91.

Pewsey, Authur and Jones, M. C. (2005). Discrimination between the von Mises and wrapped normal distributions: just how big does the sample size have to be? Statistics, 39(2) pp. 81–89.

Prescott, Gordon J. and Garthwaite, Paul H. (2005). Bayesian analysis of misclassified binary data from a matched case-control study with a validation sub-study. Statistics in Medicine, 24(3) pp. 379–401.

Prescott, G. J. and Garthwaite, P. H. (2005). A Bayesian approach to prospective binary outcome studies with misclassification in a binary risk factor. Statistics in Medicine, 24(22) pp. 3463–3477. file

Queen, Catriona M.; Wright, Ben J. and Albers, Casper J. (2007). Eliciting a directed acyclic graph for a multivariate time series of vehicle counts in a traffic network. Australian and New Zealand Journal of Statistics, 49(3) pp. 221–239. file

Richardson, John T. E. (2011). The analysis of 2 x 2 contingency tables - Yet again. Statistics in Medicine, 30(8) p. 890.

Samiuddin, S.; Al-Harbey, A. H.; Jones, M. C. and Maatouk, T. A. H. (1996). Simple smoothed histograms. Pakistan Journal of Statistics, 12(2) pp. 113–130.

Stanghellini, E.; McConway, K. J. and Hand, D. J. (1999). A discrete variable chain graph for applicants for credit. Journal of the Royal Statistical Society. Series C (Applied Statistics), 48(2) pp. 239–251.

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 (2012). Dindscal: direct INDSCAL. Statistics and Computing, 22(2) pp. 445–454.

Trendafilov, Nickolay; Unkel, Steffen and Krzanowski, Wojtek (2013). Exploratory factor and principal component analyses: some new aspects. Statistics and Computing, 23(2) pp. 209–220.

Trendafilov, Nickolay and Watson, G.A (2004). The ℓ1 oblique procrustes problem. Statistics and Computing, 14(1) pp. 39–51.

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

Trendafilov, Nickolay T. (2002). GIPSCAL revisited. A projected gradient approach. Statistics and Computing, 12(2) pp. 135–145. file

Trendafilov, Nickolay T. (2002). GIPSCAL revisited. Statistics and Computing, 12(2) pp. 135–145.

Trendafilov, Nickolay T. and Chu, Moody T. (1998). On a differential equation approach to the weighted orthogonal Procrustes problem. Statistics and Computing, 8(2) pp. 125–133.

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.

Trendafilov, Nickolay T. and Watson, G. A. (2004). The ℓ 1 oblique procrustes problem. Statistics and Computing, 14(1) pp. 39–51. file

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; Farrington, Paddy; Garthwaite, Paul; Robertson, Chris and Andrews, Nick (2012). Statistical methods for the prospective detection of infectious disease outbreaks: a review. Journal of the Royal Statistical Society: Series A (Statistics in Society), 175(1) pp. 49–82.

Unkel, Steffen; Hannachi, Abdel; Trendafilov, Nickolay T. and Jolliffe, Ian T. (2011). Independent component analysis for three-way data with an application from atmospheric science. Journal of Agricultural, Biological, and Environmental Statistics, 16(3) pp. 319–338.

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

Unkel, Steffen; Trendafilov, Nickolay T.; Hannachi, Abdel and Jolliffe, Ian T. (2010). Independent exploratory factor analysis with application to atmospheric science data. Journal of Applied Statistics, 37(11) pp. 1847–1862.

Vines, S.K. and Farrington, C.P. (2001). Within-subject exposure dependency in case-crossover studies. Statistics in Medicine, 20(20) pp. 3039–3049.

Vines, S. K. (2000). Simple principal components. Journal of the Royal Statistical Society: Series C (Applied Statistics), 49(4) pp. 441–451.

Vines, S. K.; Gilks, W. R. and Wild, P. (1996). Fitting Bayesian multiple random effects models. Statistics and Computing, 6(4) pp. 337–346.

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

Wang, Dong Q.; Critchley, F. and Smith, Peter J. (2003). The multiple sets of deletion measures and masking in regression. Communications in Statistics - Theory and Methods, 32(2) pp. 407–413.

Wang, Dong Q. and Critchley, F. (2000). Multiple deletion measures and conditional influence in regression model. Communications in Statistics - Theory and Methods, 29(11) pp. 2391–2404.

Wang, Dong Q.; Critchley, F. and Liu, Ivy (2004). Diagnostic analysis and perturbations in a clustered sampling model. Communications in Statistics - Theory and Methods, 33(11) pp. 2709–2721. file

Whitaker, H.J. and Farrington, C.P. (2004). Estimation of infectious disease parameters from serological survey data: the impact of regular epidemics. Statistics in Medicine, 23(15) pp. 2429–2443.

Whitaker, Heather J.; Farrington, C. Paddy; Spiessens, Bart and Musonda, Patrick (2006). Tutorial in biostatistics: The self-controlled case series method. Statistics in Medicine, 25(10) pp. 1768–1797.

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.

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