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Some experience with core math concepts such as difference equations or **probability density functions** is assumed, but review is included.

1) Dealing with the anomalous values of the Eaton index vector properly, then substituting the Eaton index into the Eaton formula for Monte Carlo simulation, finally the formation pore pressure matrix would be determined by statistically analyzing the results of Monte Carlo simulation; (2) Making statistical analysis directly of the Eaton index vector, then calculating the **probability density function**, and the distribution function of the formation pore pressure will be directly calculated by the union probability calculation method[9].

2] is given by[6]: [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (1) where, pf) is the **probability density function** off.

Earlier it was shown (Krylovas, Kosareva 2008a, b) how segments of linear functions could be used as an item characteristic function and also as a **probability density function** of the population knowledge level.

The **probability density function** f([alpha]) obtained according to definition is given by [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (11) where [[alpha].

[lambda]]([lambda]), and then weighting them by the conditional **probability density function** [P.

3) According to the assumptions of the model, definition of **probability density function**, convolution and using Jacobian transformation the **probability density function** of [Y.

Let X be a random variable having the **probability density function** f: [a, b] [right arrow] R and there exist the constants M, m such that 0 [less than or equal to] m [less than or equal to] f(t) [less than or equal to] M [less than or equal to] 1 a.