Currently browsing: Items authored or edited by M. C. Jones

177 items in this list.
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Anaya-Izquierdo, Karim; Jones, M. C. and Davis, Alice (2021). A family of cumulative hazard functions and their frailty connections. Statistics & Probability Letters, 172, article no. 109059.

Amdeberhan, T.; Glasser, M. L.; Jones, M. C.; Moll, V.; Posey, R. and Varela, D. (2019). The Cauchy–Schlömilch transformation. Integral Transforms and Special Functions, 30(12) pp. 940–961.

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Balakrishnan, N. and Jones, M.C. (2022). Closure of beta and Dirichlet distributions under discrete mixing. Statistics & Probability Letters, 188, article no. 109526.

Basak, Sancharee; Basu, Ayanendranath and Jones, M. C. (2021). On the ‘optimal’ density power divergence tuning parameter. Journal of Applied Statistics, 48(3) pp. 536–556.

Burke, Kevin; Jones, M. C. and Noufaily, Angela (2020). A Flexible Parametric Modelling Framework for Survival Analysis. Journal of the Royal Statistical Society: Series C (Applied Statistics), 69(2) pp. 429–457.

Basu, Srabashi; Basu, Ayanendranath and Jones, M. C. (2006). Robust and efficient parametric estimation for censored survival data. Annals of the Institute of Statistical Mathematics, 58(2) pp. 341–355.

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.

Basu, Ayanendranath; Harris, Ian. R; Hjort, Nils L. and Jones, M. C. (1998). Robust and efficient estimation by minimising a density power divergence. Biometrika, 85(3) pp. 549–559.

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Chaubey, Yogendra P.; Mudholkar, Govind S. and Jones, M. C. (2010). Reciprocal symmetry, unimodality and Khintchine's theorem. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 466(2119) pp. 2097–2116.

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.

Chattamvelli, R. and Jones, M. C. (1995). Recurrence relations for noncentral density, distribution functions and inverse moments. Journal of Statistical Computation and Simulation, 52(3) pp. 289–299.

Clements, A. M. and Jones, M. C. (1991). An ecological example of the application of projection pursuit to compositional data. Vegetatio, 95(2) pp. 101–117.

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El-Bassiouny, A. H. and Jones, M. C. (2009). A bivariate F distribution with marginals on arbitrary numerator and denominator degrees of freedom, and related bivariate beta and t distributions. Statistical Methods and Applications, 18(4) pp. 465–481.

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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.

Faddy, M. J. and Jones, M. C. (1998). Semiparametric smoothing for discrete data. Biometrika, 85(1) pp. 131–138.

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Geraci, Marco and Jones, M. C. (2015). Improved transformation-based quantile regression. Canadian Journal of Statistics, 43(1) pp. 118–132.

Gunn, L. S.; Blake, S.; Jones, M. C. and Rymer, H. (2014). Forecasting the duration of volcanic eruptions: an empirical probabilistic model. Bulletin of Volcanology, 76(1), article no. 780.

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.

Gijbels, I.; Hall, P.; Jones, M. C. and Koch, I. (2000). Tests for monotonicity of a regression mean with guaranteed level. Biometrika, 87(3) pp. 663–673.

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

Hall, Peter; Sheather, Simon J.; Jones, M. C. and Marron, J. S (1991). On optimal data-based bandwidth selection in kernel density estimation. Biometrika, 78(2) pp. 263–269.

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

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Jones, M. C. and Balakrishnan, N. (2025). On absolute moment-based upper bounds for L-moments. Statistics & Probability Letters, 216, article no. 110249.

Jones, M. C. (2024). On Integral Representations Involving the Probability Generating Function for Inverse Moments of Positive Discrete Random Variables. Sankhyā A : The Indian Journal of Statistics (early access).

Jones, M. C. (2024). Duals of convolution thinned relationships. Statistica Neerlandica (Early access).

Jones, M. C. and Balakrishnan, N. (2023). A Slew of Mixture Relationships Involving Discrete and Continuous Generalized Hypergeometric Distributions and Their Special Cases. Stat, 12(1), article no. e550.

Jones, M. C. (2022). Duals of multiplicative relationships involving beta and gamma random variables. Statistics & Probability Letters, 191, article no. 109668.

Jones, M. C. (2022). On Uniform and α-Monotone Discrete Distributions. REVSTAT - Statistical Journal, 20(4) pp. 449–462.

Jones, M. C. and Marchand, Éric (2021). A (non-central) chi-squared mixture of non-central chi-squareds is (non-central) chi-squared and related results, corollaries and applications. Stat, 10(1), article no. e398.

Jones, M. C. and Balakrishnan, N. (2021). Simple functions of independent beta random variables that follow beta distributions. Statistics & Probability Letters, 170, article no. 109011.

Jones, M. C. (2020). On Univariate Slash Distributions, Continuous and Discrete. Annals of the Institute of Statistical Mathematics, 72 pp. 645–657.

Jones, M. C. (2019). Inverting Khintchine’s relationship and generating length biased data. Statistics & Probability Letters, 154, article no. 108539.

Jones, M. C. and Marchand, Éric (2019). Multivariate discrete distributions via sums and shares. Journal of Multivariate Analysis, 171 pp. 83–93.

Jones, Chris and Pewsey, Arthur (2019). The sinh‐arcsinh normal distribution. Significance, 16(2) pp. 6–7.

Jones, M. C. (2019). On A Characteristic Property of Distributions Related to the Laplace. South African Statistical Journal, 53(1) pp. 31–34.

Jones, M. C.; Noufaily, Angela and Burke, Kevin (2019). A bivariate power generalized Weibull distribution: A flexible parametric model for survival analysis. Statistical Methods in Medical Research, 29(8) pp. 2295–2306.

Jones, M. C.; Marchand, E. and Strawderman, W. E. (2018). On an intriguing distributional identity. The American Statistician, 73(1) pp. 16–21.

Jones, M. C. (2018). Families of Complementary Distributions. Statistics & Probability Letters, 141 pp. 74–81.

Jones, M. C. and Noufaily, Angela (2015). Log-location-scale-log-concave distributions for survival and reliability analysis. Electronic Journal of Statistics, 9(2) pp. 2732–2750.

Jones, M. C.; Pewsey, Arthur and Kato, Shogo (2015). On a class of circulas: copulas for circular distributions. Annals of the Institute of Statistical Mathematics, 67(5) pp. 843–862.

Jones, M. C. (2015). On families of distributions with shape parameters. International Statistical Review, 83(2) pp. 175–192.

Jones, M. C. (2015). Univariate continuous distributions: symmetries and transformations. Journal of Statistical Planning and Inference, 161 pp. 119–124.

Jones, M. C. (2014). Generating distributions by transformation of scale. Statistica Sinica, 24(2) pp. 749–771.

Jones, M. C. (2013). Perlman and Wellner's circular and transformed circular copulas are particular beta and t copulas. Symmetry, 5(1) pp. 81–85.

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

Jones, M. C. and Pewsey, Arthur (2012). Inverse Batschelet distributions for circular data. Biometrics, 68(1) pp. 183–193.

Jones, M. C.; Rosco, J. F. and Pewsey, Arthur (2011). Skewness-invariant measures of kurtosis. The American Statistician, 65(2) pp. 89–95.

Jones, M.C. and Anaya-Izquierdo, Karim (2011). On parameter orthogonality in symmetric and skew models. Journal of Statistical Planning and Inference, 141(2) pp. 758–770.

Jones, Chris; Wang, Bing Xing and Yu, Kerning (2010). Inference under progressively type II right-censored sampling for certain lifetime distributions. Technometrics, 52(4) pp. 453–460.

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. and Pewsey, Arthur (2009). Sinh-arcsinh distributions. Biometrika, 96(4) pp. 761–780.

Jones, M. C. (2009). Kumaraswamy’s distribution: a beta-type distribution with some tractability advantages. Statistical Methodology, 6(1) pp. 70–81.

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.

Jones, M. C. (2008). On reciprocal symmetry. Journal of Statistical Planning and Inference, 138(10) pp. 3039–3043.

Jones, M. C.; Park, Heungsun; Shin, Key-Il; Vines, S. K. and Jeong, Seok-Oh (2008). Relative error prediction via kernel regression smoothers. Journal of Statistical Planning and Inference, 138(10) pp. 2887–2898.

Jones, M. C. (2008). On a class of distributions with simple exponential tails. Statistica Sinica, 18(3) pp. 1101–1110.

Jones, M. C. (2008). The distribution of the ratio X/Y for all centred elliptically symmetric distributions. Journal of Multivariate Analysis, 99(3) pp. 572–573.

Jones, M. C. (2008). The t family and their close and distant relations. Journal of the Korean Statistical Society, 37(4) pp. 293–302.

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.

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. (2007). Connecting distributions with power tails on the real line, the half line and the interval. International Statistical Review, 75(1) pp. 58–69.

Jones, M. C. and Henderson, D. A. (2007). Kernel-type density estimation on the unit interval. Biometrika, 94(4) pp. 977–984.

Jones, M C and Yu, Keming (2007). Improved double kernel local linear quantile regression. Statistical Modelling, 7(4) pp. 377–389.

Jones, M. C. (2006). A note on rescalings, reparametrizations and classes of distributions. Journal of Statistical Planning and Inference, 136(10) pp. 3730–3733.

Jones, M.C. and Pewsey, Arthur (2005). A Family of symmetric distributions on the circle. Journal of the American Statistical Association, 100(472) pp. 1422–1428.

Jones, M. C. (2005). The uniform mixture of generalized arc-sine distributions. Journal of the Korean Statistical Society, 34(1) pp. 35–38.

Jones, M. C. and Larsen, P. V. (2004). Multivariate distributions with support above the diagonal. Biometrika, 91(4) pp. 975–986.

Jones, M. C. (2004). The Möbius distribution on the disc. Annals of the Institute of Statistical Mathematics, 56(4) pp. 733–742.

Jones, M. C. (2004). On some expressions for variance, covariance, skewness and L-moments. Journal of Statistical Planning and Inference, 126(1) pp. 97–106.

Jones, M.C. (2004). Families of distributions arising from distributions of order statistics. TEST, 13(1) pp. 1–43.

Jones, Chris (2004). Letter commenting on Hazelton, M.L. (2003), 'A graphical tool for assessing normality'. The American Statistician, 58, pp. 176–177.

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

Jones, M.C. and Faddy, M.J. (2003). A skew extension of the t distribution, with applications. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 65(1) pp. 159–174.

Jones, M. C. (2002). On Khintchine's theorem and its place in random variate generation. The American Statistician, 56(4) pp. 304–307.

Jones, M. C. (2002). The complementary beta distribution. Journal of Statistical Planning and Inference, 104(2) pp. 329–337.

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

Jones, M. C. and Balakrishnan, N. (2002). How are moments and moments of spacings related to distribution functions? Journal of Statistical Planning and Inference, 103(1-2) pp. 377–390.

Jones, M. C. (2002). Marginal replacement in multivariate densities, with application to skewing spherically symmetric distributions. Journal of Multivariate Analysis, 81(1) pp. 85–99.

Jones, M. C. (2002). Student's simplest distribution. Journal of the Royal Statistical Society: Series D (The Statistician), 51(1) pp. 41–49.

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.; Hjort, N.L.; Harris, I.R. and Basu, A. (2001). A Comparison of related density-based minimum divergence estimators. Biometrika, 88(3) pp. 865–873.

Jones, M. C. (2001). Multivariate t and beta distributions associated with the multivariate F distribution. Metrika, 54(3) pp. 215–231.

Jones, M. C. and Williams-Thorpe, O. (2001). An illustration of the use of an atypicality index in provenancing British stone axes. Archaeometry, 43(1) pp. 1–18.

Jones, M. C. (2000). A skew t distribution. In: Charalambides, Ch. A.; Koutras, M. V. and Balakrishnan, N. eds. Probability and Statistical Models with Applications. London: Chapman & Hall/CRC, pp. 269–278.

Jones, M. C. (2000). Rough-and-ready assessment of the degree and importance of smoothing in functional estimation. Statistica Neerlandica, 54(1) pp. 37–46.

Jones, M. C. (1999). Distributional relationships arising from simple trigonometric formulas. The American Statistician, 53(2) pp. 99–102.

Jones, M. C.; Signorini, D. F. and Hjort, N. L. (1999). On multiplicative bias correction in kernel density estimation. Sankhya (Series A), 61(3) pp. 422–430.

Jones, M. C. (1998). On some kernel density estimation bandwidth selectors related to the double kernel method. Sankhya (Series A), 60(2) pp. 249–264.

Jones, M. C. (1998). Constant local dependence. Journal of Multivariate Analysis, 64(2) pp. 148–155.

Jones, M. C.; Samiuddin, M.; Al-Harbey, A. H. and Maatouk, T. A. H. (1998). The edge frequency polygon. Biometrika, 85(1) pp. 235–239.

Jones, M. C. and Vines, S. K. (1998). Choosing the smoothing parameter for unordered multinormal data. TEST, 7(2) pp. 413–426.

Jones, M. C. (1997). A variation on local linear regression. Statistica Sinica, 7(4) pp. 1171–1180.

Jones, M. C. and Signorini, D. F. (1997). A comparison of higher-order bias kernel density estimators. Journal of the American Statistical Associatio, 92(439) pp. 1063–1073.

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. (1996). On close relations of local likelihood density estimation. TEST, 5(2) pp. 345–356.

Jones, M. C. and Foster, P. J. (1996). A simple nonnegative boundary correction method for kernel density estimation. Statistica Sinica, 6(4) pp. 1005–1013.

Jones, M. C.; Marron, J. S. and Sheather, S. J. (1996). A brief survey of bandwidth selection for density estimation. Journal of the American Statistical Association, 91(433) pp. 401–407.

Jones, M. C. (1996). The local dependence function. Biometrika, 83(4) pp. 899–904.

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 Lunn, A. D. (1996). Transformations and random variate generation: generalised ratio-of-uniform methods. Journal of Statistical Computation and Simulation, 55(1-2) pp. 49–55.

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, Chris (1996). Comments on 'A personal view of smoothing and statistics' by J.S. Marron, 'Smoothing by local regression: principles and methods' by W.S. Cleveland and C. Loader, and 'Variance properties of local polynomials and ensuing modifications' by B Seifert and T. Gasser. In: Hardle, W and Schimek, M.G. eds. Statistical Theory and Computational Aspects of Smoothing. Heidelberg: Physica-Verlag, pp. 85–87.

Jones, M. C.; Hurley, Catherine B. and Irony, Telba Z. (1996). Review of 'Nonparametric Regression and Generalized Linear Models: a Roughness Penalty Approach' by P.J. Green and B. W. Silverman. Springer Netherlands.

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

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

Jones, M. C.; Linton, O and Nielsen, J. P. (1995). A simple bias reduction method for density estimation. Biometrika, 82(2) pp. 327–338.

Jones, M. C.; Davies, S. J. and Park, B. U. (1994). Versions of kernel-type regression estimators. Journal of the American Statistical Association, 89(427) pp. 825–832.

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.; McKay, I. J. and Hu, T. C. (1994). Variable location and scale density estimation. Annals of the Institute of Statistical Mathematics, 46(3) pp. 521–535.

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

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

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

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

Jones, M. C. and Rice, John A. (1992). Displaying the important features of large collections of similar curves. The American Statistician, 46(2) pp. 140–145.

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. and Wand, M. P. (1992). Asymptotic effectiveness of two families of higher order kernels. Journal of Statistical Planning and Inference, 31(1) pp. 15–21.

Jones, M. C. (1992). Differences and derivatives in kernel estimation. Metrika, 39(1) pp. 335–340.

Jones, M. C. (1992). Estimating densities, quantiles, quantile densities and density quantiles. Annals of the Institute of Statistical Mathematics, 44(4) pp. 721–727.

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. 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 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.

Jones, M. C. (1991). Prospects for automatic bandwidth selection in extensions to basic kernel density estimation. In: Roussas, G. G. ed. Nonparametric Functional Estimation and Related Topics. NATO Science Series C (335). Dordrecht, Netherlands: Kluwer, pp. 241–249.

Jones, M. C. (1991). A not-so-flawed draw. Mathematical Gazette, 75(471) pp. 23–26.

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). Comment on "Choosing a kernel regression estimator" by C.K. Chu and J.S. Marron. Statistical Science, 6(4) pp. 427–430.

Jones, M. C. (1991). Kernel density estimation for length biased data. Biometrika, 78(3) pp. 511–519.

Jones, Chris (1991). Which kernel regression estimator? Bulletin of the International Statistical Institute, 48 pp. 347–348.

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.; 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. (1990). The relationship between moments of truncated and original distributions plus some other simple structural properties of weighted distributions. Metrika, 37(1) pp. 233–243.

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. 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. (1990). The World Cup draw's flaws. Mathematical Gazette, 74(470) pp. 335–338.

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

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Kato, Shogo; Pewsey, Arthur and Jones, M. C. (2022). Tractable circula densities from Fourier series. TEST, 31(3) pp. 595–618.

Kato, Shogo and Jones, M. C. (2015). A tractable and interpretable four-parameter family of unimodal distributions on the circle. Biometrika, 102(1) pp. 181–190.

Kato, Shogo and Jones, M. C. (2013). An extended family of circular distributions related to wrapped Cauchy distributions via Brownian motion. Bernoulli, 19(1) pp. 154–171.

Kato, Shogo and Jones, M. C. (2010). A family of distributions on the circle with links to, and applications arising From, Möbius Transformation. Journal of the American Statistical Association, 105(489) pp. 249–262.

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Lloyd, Chris J. and Jones, M. C. (2000). Nonparametric density estimation from biased data with unknown biasing function. Journal of the American Statistical Association, 95(451) pp. 865–876.

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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.

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

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.

Nowell, David A. G; Jones, M. Chris and Pyle, David M. (2006). Episodic Quaternary voicanism in France and Germany. Journal of Quaternary Science, 21(6) pp. 645–675.

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

Potts, P. J.; Bernardini, F.; Jones, M. C.; Williams-Thorpe, O. and Webb, P. C. (2006). Effect of weathering on in situ portable X-ray fluorescence analysis of geological outcrops: dolerite and rhyolite outcrops from the Preseli Mountains, South Wales. X-ray Spectrometry, 35(1) pp. 8–18.

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.

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.; 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.

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.

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Rosco, J.F.; Pewsey, Arthur and Jones, M. C. (2015). On Blest’s measure of kurtosis adjusted for skewness. Communications in Statistics: Theory and Methods, 44(17) pp. 3628–3638.

Rosco, J. F.; Jones, M. C. and Pewsey, Arthur (2011). Skew t distributions via the sinh-arcsinh transformation. TEST, 20(3) pp. 630–652.

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Signorini, D.F. and Jones, M.C. (2004). Kernel estimators for univariate binary regression. Journal of the American Statistical Association, 99(465) pp. 119–126.

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.

Samiuddin, M.; Jones, M. C. and El-sayyard, G. M. (1993). On bin-based density estimation. Journal of Statistical Computation and Simulation, 47(3) pp. 241–252.

Sheather, S.J. and Jones, Chris (1991). A reliable data-based bandwidth selection method for kernel density estimation. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 53(3) pp. 683–690.

Silverman, B. W.; Jones, M. C.; Wilson, J. D. and Nychka, D. W (1990). A smoothed EM approach to indirect estimation problems, with particular reference to stereology and emission tomography. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 52(2) pp. 271–324.

Silverman, B.W. and Jones, M. C. (1989). E. Fix and J.L. Hodges(1951): an important contribution to nonparametric discriminant analysis and density estimation. International Statistical Review, 57(3) pp. 233–247.

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Twala, B. E. T. H.; Jones, M. C. and Hand, D. J. (2008). Good methods for coping with missing data in decision trees. Pattern Recognition Letters, 29(7) pp. 950–956.

Taylor, Paul C. and Jones, M. C. (1996). Splitting criteria for regression trees. Journal of Statistical Computation and Simulation, 55(4) pp. 267–285.

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van Dorp, Johan René and Jones, M. C. (2020). The Johnson System of Frequency Curves—Historical, Graphical, and Limiting Perspectives. The American Statistician, 74(1) pp. 37–52.

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Williams-Thorpe, Olwen; Jones, M. C.; Potts, P. J. and Webb, P. C. (2006). Preseli dolerite bluestones: axe-heads, Stonehenge monoliths and outcrop sources. Oxford Journal of Archaeology, 25(1) pp. 29–46.

Warwick, J. and Jones, M.C. (2005). Choosing a robustness tuning parameter. Journal of Statistical Computation and Simulation, 75(7) pp. 581–588.

Williams-Thorpe, Olwen; Potts, P. J. and Jones, M. C. (2004). Non-destructive provenancing of bluestone axe-heads in Britain. Antiquity, 78(300) pp. 359–379.

Williams-Thorpe, O.; Webb, P.C. and Jones, M.C. (2003). Non-destructive geochemical and magnetic characterisation of Group XVIII dolerite stone axes and shaft-hole implements from England. Journal of Archaeological Science, 30(10) pp. 1237–1267.

Wand, M. P and Jones, M. C. (1994). Kernel Smoothing. Chapman & Hall/CRC Monographs on Statistics & Applied Probability (60). Boca Raton, FL, U.S.: Chapman & Hall.

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

Wand, M. P. and Jones, M. C. (1993). Comparison of smoothing parameterizations in bivariate kernel density estimation. Journal of the American Statistical Association, 88(422) pp. 520–528.

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Yu, K. and Jones, M.C. (2004). Likelihood-based local linear estimation of the conditional variance function. Journal of the American Statistical Association, 99(465) pp. 139–144.

Yu, Keming and Jones, M. C. (1998). Local linear quantile regression. Journal of the American Statistical Association, 93(441) pp. 228–237.

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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Zhang, S.; Karunamuni, R. J. and Jones, M. C. (1999). An improved estimator of the density at the boundary. Journal of the American Statistical Association, 94(448) pp. 1231–1241.

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