Analysis, modelling, forecasting, classification: we have wide experience of research and development projects and are able to use resources in a targeted and cost-effective way.
Statistical data analysis and experimental design
We use descriptive and inferential statistical methods to support quality control, create risk assessments, prognoses and diagnoses, and examine causal interpretations of measured variables.
Using simulations, we are able to help with study planning, classic sample size calculations and experimental design.
We develop specific quantitative models for industrial and logistical processes to aid optimisation and decision-making.
Learning from data
We apply supervised and unsupervised learning strategies to classification problems and/or forecasting.
We extract online or offline information from the range of signal data using the appropriate filter techniques (adaptive, linear/nonlinear, sequential).