1. Again, although skewness may be computed for the central segment of the distribution, for most purposes broader spreads are used.

2. In excess skewness the correction may be turning.

3. I also discuss the potential effect of time-varying skewness and kurtosis on the performance of the model.

4. Unfortunately, when skewness and kurtosis are taken into account, this need not be the case.

5. The skewness or bending of Weft yarn is unavoidable in finishing process of printing and dyeing.

6. Skewness is a statistical measure of the uniformity of the distribution of a group of measures.

7. Skewness inspection when the level indicator in the impeller means to balance the side plate.

8. First, we introduce systematic skewness and systematic kurtosis into traditional CAPM, making it to be an even generalized model containing higher-moment.

9. The moment equations are developed which provide the mean, variance and skewness of carbon dioxide concentartion.

10. The results indicate that mean grain size, sorting coefficient, skewness and kurtosis are respectively significantly correlative. Their correlation coefficients are depressed in turn.

11. Through theoretical derivation, a new algorithm based on IFFT and time domain randomization for the simulation of non-gaussian random processes with specified PSD, skewness and kurtosis was proposed.

12. Grain size distribution may be characterized in part by skewness of the distribution.

13. A portfolio selection model with transaction costs under the constraint of higher moments such as skewness and kurtosis was discussed.

14. The overall average cost efficiency of the Taiwanese optoelectronic industry is 0.2421 skewness and leptokurtic distribution.

15. Practically, the application of options implied second moment, implied volatility, is very popular, but the study of implied third moment, skewness, and fourth moment, kurtosis,[http:///skewness.html] is seldom.

16. The paper proposes new separate ratio estimators for population mean using known skewness coefficient of auxiliary variable in stratified random sampling.