Due to variance heterogeneity and non-normality
of data, differences in adult E.
In the case of normal distribution of the collected data, parametric tests can be used to test the hypotheses and in case of non-normality
of the collected data nonparametric tests can be used.
Diagnostic plots of standardized residuals from the model fits did not show strong evidence of non-constant variance or non-normality
A low sample size can contribute to non-normality
, so ensuring that the sample size is large (>100) helps minimize non-normality
Although regression weights are usually fairly accurate under cases of multivariate non-normality
, some indices are inappropriately inflated (e.
Some of the models reported in Table 4 suffer from autocorrelation and non-normality
in the residuals.
In addition to these figures, Table 1 provides empirical tests for skewness and non-normality
The preliminary analysis of stock index return exhibits non-normality
, fat tails, volatility clustering and mean reversion.
However, in this study we are not merely working with stock return predictability, therefore, we feel that state space models encompassing a signal extraction approach might do a better job to extract predictable signals (if any) in return series while taking into account non-normality
and time varying volatility that is well-documented in the literature.
Areas covered include: -- Satellite investing -- Estimation error heuristics -- Scenario optimisation -- Mean variance investing -- Bayesian methods -- Budgeting active risk -- Non-normality
-- Multiple manager allocation
, especially for small data sets.
Several variables yielded values greater than this, indicating some non-normality
of the data.