States are required to monitor and protect plants and animals listed as European Protected Species. However, species data are often ad hoc and vary considerably in their quality and coverage. In these cases, species distribution models can be applied to obtain useful estimates from the limited data available.
read moreOne of the major challenges all retailers face is how to manage their operations to maintain efficient stock control. Using a statistical approach, historic sales figures combined with data on relevant external drivers can provide accurate forecasts of future demand.
read moreWhen local planning authorities are planning a new development, they must consider whether it will affect a Special Protected Area (SPA) and how it could impact visitor numbers. Using data collected by visitor surveys, it is possible to model SPA visitor rates, identify the key drivers and predict how the rate may change for different scenarios.
read moreCustomer retention is one of the biggest challenges facing businesses in a wide range of industries, from subscription media and mobile phone operators to fitness clubs and insurance providers. Our client, a national UK business with a customer base of over 800,000, wanted to understand what drives customer retention and attrition.
read moreThe Energy Saving Trust has developed a data set on Scottish housing stock that provides information on property characteristics and the potential for energy efficiency measures. To deliver a complete record of all properties, Select developed a statistical model to predict property characteristics where no data are available.
read moreCounty councils are responsible for the treatment and disposal of municipal waste. Select developed a forecasting tool to help assess Essex County Council's future operational needs with regards to household waste.
read moreThe decision to extubate intensive care patients is critical to the long-term recovery of patients. To assist clinicians in their decision, Select developed a statistical model that predicts the probability of a successful extubation based on information about the patient, such as the patient's ability to cough.
read moreThe electricity network is susceptible to power outages caused by weather such as severe winds, lightning and snow. In addition to the short-term implications, network operators must consider the long-term implications of climate change. This study uses future projections of climate to model how weather faults may change over time.
read moreEnergy suppliers have a regulatory duty to help combat fuel poverty through the take-up of energy efficiency practices. However, information on an individual's energy use is not always available. By combining a variety of Official Statistics in a statistical model, it's possible to identify areas in the country that are at greatest risk of fuel poverty and where the take-up of efficiency measures is likely to be low.
read moreMutations in the BRCA1 and BRCA2 genes are known to lead to an increased risk of cancer in humans. Elective surgery can reduce the cancer risk, but is an incredibly difficult and personal decision for healthy patients to take. Statistical techniques can be used to produce a personalised risk profile with likely timescales of disease onset allowing a patient to make a more informed decision.
read moreWhen planners are developing coastal flood defences, they have to consider to what height they should build a sea wall so that the probability of flooding over a pre-specified future period is sufficiently small. Reliable estimates can be obtained using a statistical model that incorporates all the processes that affect extreme sea-levels.
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