Exact(19)
Typically, a baseline statistical forecast is judgmentally adjusted on receipt of information from different departments.
In two ecologically valid experiments, forecasters were provided with the mean level of promotion uplift, a baseline statistical forecast, and quantitative and qualitative information.
We define a big loss as a judgmental adjustment that significantly decreases the forecasting accuracy compared to the baseline statistical forecast.
Baseline statistical analyses were carried out using SPSS for Windows, (version 17.0; SPSS Inc. Chicago, IL).
We followed the CONSORT guidance and did not conduct baseline statistical comparisons between study groups.
Scanner type was included as a covariate in the baseline statistical analyses.
Similar(41)
We present an extensive validation on a synthetic dataset and four varying sized datasets against two baselines: Statistical NonParametric Mapping (SnPM13) and a standard permutation testing implementation (referred as NaivePT).
Post-baseline statistical analyses were done as pairwise comparisons utilizing a two-sided t-test.
Post-baseline statistical analyses were done utilizing repeated measures univariate analysis of variance (RM-ANOVA) on pooled population data.
Group I data were used as the baseline for statistical comparison with other groups.
This change from baseline achieved statistical significance in the r-hGH group (p = 0.017).
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