Outputs (17)

A sequential dynamic Bayesian network for pore pressure estimation with uncertainty quantification (2017)
Journal Article
Oughton, R. H., Wooff, D. A., Hobbs, R. W., Swarbrick, R. E., & O'Connor, S. A. (2018). A sequential dynamic Bayesian network for pore pressure estimation with uncertainty quantification. Geophysics, 83(2), D27-D39. https://doi.org/10.1190/geo2016-0566.1

Pore-pressure estimation is an important part of oil-well drilling, since drilling into unexpected highly pressured fluids can be costly and dangerous. However, standard estimation methods rarely account for the many sources of uncertainty, or for th... Read More about A sequential dynamic Bayesian network for pore pressure estimation with uncertainty quantification.

Multiwell Deconvolution (2014)
Journal Article
Cumming, J., Wooff, D., Whittle, T., & Gringarten, A. (2014). Multiwell Deconvolution. SPE Reservoir Evaluation & Engineering, 17(04), 457-465. https://doi.org/10.2118/166458-pa

In well-test analysis, deconvolution is used to transform variablerate-pressure data into a single constant-rate drawdown suitable for interpretation. It is becoming part of a standard workflow for exploration and appraisal well-test analyses and in... Read More about Multiwell Deconvolution.

A Bayesian shifting method for uncertainty in the open-hole gamma-ray log around casing points (2014)
Journal Article
Oughton, R. H., Wooff, D. A., & O'Connor, S. A. (2014). A Bayesian shifting method for uncertainty in the open-hole gamma-ray log around casing points. Petroleum Geoscience, 20(4), 375-391. https://doi.org/10.1144/petgeo2014-006

The wireline gamma-ray log is sensitive to open-hole conditions and, in particular, the diameter. This means that the log can jump at casing points. Although environmental corrections exist, they can fail at these points. We present a Bayesian method... Read More about A Bayesian shifting method for uncertainty in the open-hole gamma-ray log around casing points.

Time-weighted multi-touch attribution and channel relevance in the customer journey to online purchase (2014)
Journal Article
Wooff, D., & Anderson, J. (2015). Time-weighted multi-touch attribution and channel relevance in the customer journey to online purchase. Journal of statistical theory and practice, 9(2), 227-249. https://doi.org/10.1080/15598608.2013.862753

We address statistical issues in attributing revenue to marketing channels and inferring the importance of individual channels in customer journeys towards an online purchase. We describe the relevant data structures and introduce an example. We sugg... Read More about Time-weighted multi-touch attribution and channel relevance in the customer journey to online purchase.

Bayes linear sufficiency in non-exchangeable multivariate multiple regressions (2014)
Journal Article
Wooff, D. (2014). Bayes linear sufficiency in non-exchangeable multivariate multiple regressions. Bayesian Analysis, 9(1), 77-96. https://doi.org/10.1214/13-ba847

We consider sufficiency for Bayes linear revision for multivariate multiple regression problems, and in particular where we have a sequence of multivariate observations at different matrix design points, but with common parameter vector. Such sequenc... Read More about Bayes linear sufficiency in non-exchangeable multivariate multiple regressions.

Practical statistical methods for call centres with a case study addressing urgent medical care delivery (2014)
Journal Article
Wooff, D., & Stirling, S. (2015). Practical statistical methods for call centres with a case study addressing urgent medical care delivery. Annals of Operations Research, 233(1), 501-515. https://doi.org/10.1007/s10479-014-1529-2

Our interest is in forecasting for call centres, and in particular out-of-hours call centres (OOHCC) which deal with patient requests for medical advice outside normal working hours. Planning needs accurate forecasts of incoming call volumes. These v... Read More about Practical statistical methods for call centres with a case study addressing urgent medical care delivery.

Robust and scale-free effect sizes for non-Normal two-sample comparisons, with applications in e-commerce (2013)
Journal Article
Wooff, D., & Jamalzadeh, A. (2013). Robust and scale-free effect sizes for non-Normal two-sample comparisons, with applications in e-commerce. Journal of Applied Statistics, 40(11), 2495-2515. https://doi.org/10.1080/02664763.2013.818625

The effect size (ES) has been mainly introduced and investigated for changes in location under an assumption of Normality for the underlying population. However, there are many circumstances where populations are non-Normal, or depend on scale and sh... Read More about Robust and scale-free effect sizes for non-Normal two-sample comparisons, with applications in e-commerce.

Correlation models for monitoring child growth (2008)
Journal Article
Argyle, J., Seheult, A. H., & Wooff, D. A. (2008). Correlation models for monitoring child growth. Statistics in Medicine, 27(6), 888-904. https://doi.org/10.1002/sim.2973

Growth measurements of children, such as weight and height, are monitored regularly, particularly in infancy, to assess whether or not a child's growth is normal when compared with a reference population of the same age and sex. Here, after a suitabl... Read More about Correlation models for monitoring child growth.

Dimension reduction via principal variables (2007)
Journal Article
Cumming, J., & Wooff, D. (2007). Dimension reduction via principal variables. Computational Statistics & Data Analysis, 52(1), 550-565. https://doi.org/10.1016/j.csda.2007.02.012

For many large-scale datasets it is necessary to reduce dimensionality to the point where further exploration and analysis can take place. Principal variables are a subset of the original variables and preserve, to some extent, the structure and info... Read More about Dimension reduction via principal variables.

Outcomes of interprofessional education for Community Mental Health Services in England: The longitudinal evaluation of a postgraduate programme (2006)
Journal Article
Carpenter, J., Barnes, D., Dickinson, C., & Wooff, D. (2006). Outcomes of interprofessional education for Community Mental Health Services in England: The longitudinal evaluation of a postgraduate programme. Journal of Interprofessional Care, 20(2), 145-161. https://doi.org/10.1080/13561820600655653

We report a comprehensive, longitudinal evaluation of a two-year, part-time postgraduate programme designed to enable health and social care professionals in England to work together to deliver new community mental health services, including psychoso... Read More about Outcomes of interprofessional education for Community Mental Health Services in England: The longitudinal evaluation of a postgraduate programme.