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Hydro-Mechanical Properties of an Unsaturated Frictional Material

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74<br />

CHAPTER 3. INTRODUCTION TO PROCESS MODELING - A STATISTICAL<br />

APPROACH<br />

<strong>of</strong> few points far from the line could be outliers. Compared to the histogram the normal<br />

probability plot is conveniently used to discern deviations from normality.<br />

- Histogram:<br />

Similar to the normal probability plot the histogram is used to check the normal distri-<br />

bution <strong>of</strong> the <strong>an</strong>alyzed data set. Histograms summarize the distribution <strong>of</strong> a data set<br />

<strong>an</strong>d shows the location (i.e. center), the scale (i.e. spread), the skewness <strong>of</strong> the data<br />

<strong>an</strong>d the presence <strong>of</strong> outliers. Compared to the normal probability plot a histogram <strong>of</strong><br />

the residuals <strong>of</strong> the fit provides a detailed picture <strong>of</strong> the shape <strong>of</strong> the distribution. More<br />

or less bell shaped histograms confirm conclusions <strong>of</strong> a normally distributed data set.<br />

3.3 Summary<br />

A method for model building for determination <strong>of</strong> soil-water characteristic curve using data<br />

tr<strong>an</strong>sformation was introduced in the present chapter, that is based on statistical <strong>an</strong>alysis.<br />

The data tr<strong>an</strong>sformation is used to find linear relation, that gives the possibility to use<br />

linear regression. In detail the steps for model building are given <strong>an</strong>d described. The method<br />

presented above will be used later for developing soil-water characteristic curve model for<br />

Hostun s<strong>an</strong>d, that includes prediction <strong>of</strong> drainage as well as imbibition process.

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