private bool IsStatisticallyAbnormal()
{
var predictor = new TimeSeriesPredictor();
var data = StaticData.AccountingPrinciples.ToList();
data.Add(SimulationConfiguration.RatioAnalysis);
var predictions = predictor.Predict(data);
var year = predictions.Where(x => x.TurnoverDelta > 0).Select(x => x.Date.Year).Min();
var industryStandard = StaticData.RMA.Where(x => x.Date.Year == year)
.First(x => x.NAICId == SimulationConfiguration.SelectedNAIC).InventoryTurnover;
return(predictions.Where(x => x.TurnoverDelta > 0).Any(x => x.Turnover > (industryStandard * 1.25)));
}
public ActionResult Index()
{
var predictor = new TimeSeriesPredictor();
var data = StaticData.AccountingPrinciples.ToList();
if (SimulationConfiguration.CustomerAlteredRationAnalysis)
{
data.Add(SimulationConfiguration.RatioAnalysis);
}
var model = new IndexModel();
model.RatioAnalyses = predictor.Predict(data).OrderBy(x => x.Date);
model.NaicInformation = StaticData.NAIC.Single(x => x.Id == SimulationConfiguration.SelectedNAIC);
model.RmaInformations = StaticData.RMA.Where(x => x.NAICId == SimulationConfiguration.SelectedNAIC).OrderBy(x => x.Date);
return(View(model));
}
