Multiple Well Deconvolution
(2013)
Presentation / Conference Contribution
Cumming, J., Wooff, D., Whittle, T., & Gringarten, A. (2013, December). Multiple Well Deconvolution. Presented at 2013 SPE Annual Technical Conference & Exhibition, New Orleans, USA
All Outputs (5)
Assessing the Non-Uniqueness of the Well Test Interpretation Model Using Deconvolution (2013)
Presentation / Conference Contribution
Cumming, J., Wooff, D., Whittle, T., Crossman, R., & Gringarten, A. (2013, December). Assessing the Non-Uniqueness of the Well Test Interpretation Model Using Deconvolution. Presented at 75th EAGE Annual Conference & Exhibition, 10–13 June 2013, London, United Kingdom
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/10.1080/02664763.2013.818625The 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.
Inferring marketing channel relevance in the customer journey to online purchase (2013)
Preprint / Working Paper
Wooff, D., & Anderson, J. Inferring marketing channel relevance in the customer journey to online purchaseIn this paper we address the problem of inferring marketing channel importance for the customer journey to online purchase, using sequential data analysis ideas. We suggest a method for inferring the relative value of channels using historical data.... Read More about Inferring marketing channel relevance in the customer journey to online purchase.
Time-weighted attribution of revenue to multiple e-commerce marketing channels in the customer journey (2013)
Preprint / Working Paper
Wooff, D., & Anderson, J. Time-weighted attribution of revenue to multiple e-commerce marketing channels in the customer journeyIn this paper we address statistical issues in attributing revenue to marketing channels. We describe the relevant data structures and introduce an example. We suggest an asymmetric bathtub shape as appropriate for time-weighted revenue attribution t... Read More about Time-weighted attribution of revenue to multiple e-commerce marketing channels in the customer journey.