Within statistical analysis and mathematical modeling we can help with:
General statistical hypothesis testing, for example to ascertain if a new treatment, method of production or a new product is significantly better than standard alternative.
Weighting and adjustment in case of missing observations in sample surveys, to obtain correct estimates.
Advise in the implementation and use of numerical models for dynamical systems in engineering.
Forecast analysis. We have developed and implemented an algorithm to predict outcomes based on historical data. This is especially relevant when pricing portfolios of “bad debt”. The estimates are based on the history of the clients, or from the history of similar clients. This algorithm can also be used more generally for dynamical systems when one wishes to predict possible outcomes.