| Smoothing parameter and model selection for general smooth models SN Wood, N Pya, B Säfken Journal of the American Statistical Association 111 (516), 1548-1563, 2016 | 1149 | 2016 |
| Shape constrained additive models N Pya, SN Wood Statistics and computing 25, 543-559, 2015 | 264 | 2015 |
| A comparison of inferential methods for highly nonlinear state space models in ecology and epidemiology M Fasiolo, N Pya, SN Wood Statistical Science, 96-118, 2016 | 79 | 2016 |
| scam: Shape constrained additive models N Pya R package version, 1.2-6, 2020 | 47 | 2020 |
| A comparative study of some modified chi-squared tests V Voinov, N Pya, R Alloyarova Communications in Statistics—Simulation and Computation® 38 (2), 355-367, 2009 | 30 | 2009 |
| Scam: Shape constrained additive models. R package version 1.1–1 N Pya, SN Wood | 21 | 2021 |
| Goodness-of-fit tests for the power-generalized Weibull probability distribution V Voinov, N Pya, N Shapakov, Y Voinov Communications in Statistics-Simulation and Computation 42 (5), 1003-1012, 2013 | 20 | 2013 |
| A note on basis dimension selection in generalized additive modelling N Pya, SN Wood arXiv preprint arXiv:1602.06696, 2016 | 19 | 2016 |
| New invariant and consistent chi-squared type goodness-of-fit tests for multivariate normality and a related comparative simulation study V Voinov, N Pya, R Makarov, Y Voinov Communications in Statistics-Theory and Methods 45 (11), 3249-3263, 2016 | 17 | 2016 |
| Additive models with shape constraints N Pya University of Bath, 2010 | 14 | 2010 |
| Recent achievements in modified chi-squared goodness-of-fit testing V Voinov, R Alloyarova, N Pya Statistical models and methods for biomedical and technical systems, 241-258, 2008 | 14 | 2008 |
| A Modified Chi‐squared Goodness‐of‐fit Test for the Three‐parameter Weibull Distribution and its Applications in Reliability V Voinov, R Alloyarova, N Pya Mathematical Methods in Survival Analysis, Reliability and Quality of Life …, 2008 | 10 | 2008 |
| Incorporating shape constraints in generalized additive modelling of the height-diameter relationship for Norway spruce N Pya, M Schmidt Forest Ecosystems 3, 1-14, 2016 | 9 | 2016 |
| The power-generalized Weibull probability distribution and its use in survival analysis R Alloyarova, M Nikulin, N Pya, V Voinov Communications in Dependability and Quality Management 10 (1), 5-15, 2007 | 8 | 2007 |
| On the power of modified chi-squared goodness-offit tests for the family of logistic and normal distributions V Voinov, N Pya Proceedings of the Seventh Iranian Statistical Conference, 385-403, 2004 | 8 | 2004 |
| scam: Shape Constrained Additive Models, 2019 N Pya URL https://CRAN. R-project. org/package= scam. R package version, 1.2-5, 0 | 8 | |
| Efficient surface finish defect detection using reduced rank spline smoothers and probabilistic classifiers NP Arnqvist, B Ngendangenzwa, E Lindahl, L Nilsson, J Yu Econometrics and Statistics 18, 89-105, 2021 | 6 | 2021 |
| mvnTest: goodness of fit tests for multivariate normality N Pya, V Voinov, R Makarov, Y Voinov R package version, 1.1-0, 2016 | 6 | 2016 |
| Statistical inference for highly non-linear dynamical models in ecology and epidemiology M Fasiolo, N Pya, S Wood arXiv preprint arXiv:1411.4564, 2014 | 5 | 2014 |
| Independent distributed in the limit components of some chi-squared tests V Voinov, M Nikulin, N Pya Recent Advances in Stochastic Modeling and Data Analysis, 243-250, 2007 | 5 | 2007 |
