Identifying and responding to outlier demand in revenue management N Rennie, C Cleophas, AM Sykulski, F Dost European Journal of Operational Research 293 (3), 1015-1030, 2021 | 12 | 2021 |
Analysing and visualising bike-sharing demand with outliers N Rennie, C Cleophas, AM Sykulski, F Dost Discover Data 1 (1), 1, 2023 | 4 | 2023 |
Detecting demand outliers in transport systems N Rennie PQDT-Global, 2021 | 2 | 2021 |
Presenting data the Significance way - Part 1 N Rennie, A Krause Significance 21 (3), 36-39, 2024 | | 2024 |
Outlier detection in network revenue management N Rennie, C Cleophas, AM Sykulski, F Dost OR Spectrum 46, 445–511, 2024 | | 2024 |
Prevalence of radiological cerebral small vessel disease: an insight from routinely collected data MP Maskery, N Rennie, S Mathur, J Knight, HCA Emsley | | 2023 |
Best Practices for Data Visualisation (Royal Statistical Society) A Krause, N Rennie, B Tarran https://royal-statistical-society.github.io/datavisguide/, 2023 | | 2023 |
Detecting outlier demand in railway networks N Rennie, C Cleophas, A Sykulski, F Dost | | 2021 |
Detecting outlying demand in multi-leg bookings for transportation networks N Rennie, C Cleophas, A Sykulski, F Dost | | 2021 |