Sentences with phrase «kurtosis of»

Preliminary analyses examined the distribution, skew, and kurtosis of all variables.

Given the large skewness and kurtosis of three of its items, polychoric ordinal alpha was used to investigate the internal consistency.

Mean and standard deviation as well as the Skewness and the Kurtosis of the 19 subscales of the CERS - M are reported in Table 2.

The kurtosis of the smaller project study was very flat.

That is, the kurtosis of the model output would be flat, meaning pretty much equal probability of any outcome.

In particular a more thorough analysis would pay close attention to the kurtosis of the distribution (i.e., the «fatness» of the distribution's tails) and would perhaps model it through a Generalized Pareto Distribution as is done in Otto et al., 2012 for example.

For that, the researchers rely on something called the kurtosis of a distribution, which measures the size of its tails, or the rate at which the concentration of data decreases far from the mean.

Not exact matches

Comparison of Diffusion Metrics Obtained at 1.5 T and 3T in Human Brain With Diffusional Kurtosis Imaging.

They measure portfolio performance conventionally (Sharpe ratio), via effects on portfolio return distribution skewness and kurtosis (as an indicator of tail risk) and with investor utility metrics.

You get a VERY different result if you even use a lognormal prior with a standard deviation of 0.65 - 0.85 (which maximizes width / Kurtosis for a given mean).

If you have a situation where you are pretty sure that the likelihood will beat down the tails of your distribution, then what you really want in an uninformative prior is one that maximizes your width rather than the extreme tails of the distribution — relatively high standard deviation and relatively low kurtosis.

You really need a fairly significant amount of data before you can reliably estimate the skew or kurtosis.

I think that we can be pretty confident that if done properly, the 1 SD would be pretty wide and kurtosis flat, which can be expressed as «pretty much equal probability of any outccome».

Re: quadratic interpolation... one of the most interersting adaptive equalization methods I have seen is based on negentropy, approximated by squaring the kurtosis (fourth order), an eighth order equation.

Ratings of husbands» facial attractiveness were normally distributed in both studies (in study 1, skewness = 0.12, kurtosis = − 0.42; in study 2, skewness = 0.43, kurtosis = 0.20).

Preliminary analyses were performed to explore normality, linearity and homoscedasticity and the negative kurtosis typically found in measures of life satisfaction and relationship satisfaction were observed.

Due to some skewness and / or kurtosis on some items on the SDQ and the DBD, polychoric ordinal alpha (Gadermann et al. 2012) was calculated instead of Cronbach's alpha when more appropriate.

The kurtosis varied between − 0.4 and 1.6, but in the case of the subscale Conduct Problems it did reach high levels, up to 7.8 in case of 11 - years old girls.

All variables demonstrated acceptable levels of skewness and kurtosis with the exception of suicide ideation, which was transformed using the log - likelihood method to correct for non-normality.

Using the cutoffs of two and seven for skew and kurtosis, respectively (West, Finch, & Curran, 1995), all variables were normally distributed.

Correlation matrix of behavior problem variables with means, standard deviations, skewness, and kurtosis

Although none of the NICU PCERA items used in the scales showed problematic skewness or kurtosis (skew ≥ 2, kurtosis ≥ 6), a few items showed limited variability.

Because of the very skewed distribution (skewness = 3.27 and kurtosis = 11.97) the outcome measure was recoded as a binomial variable (median split), in which 0 indicated a low Disgust mean and 1 a high Disgust mean.

Frequencies for all the independent and dependent variables were examined to ensure normality in terms of skewedness and kurtosis.

The Kurtosis was also significant at 5.12 with a standard error of 0.60.

To establish whether data was normally distributed, values of skewness and kurtosis were converted to z - scores (Field 2013).

On the basis of distribution analysis using the Kolmogorov - Smirnov test and kurtosis and skewness values, the decision was made to use parametric statistics.