Accurate orientation distributions are crucial to generating a reliable discrete fracture network (DFN) model for rock mass, while conventional one-dimensional (1D) and two-dimensional (2D) observation data have significant sampling bias. The list of p-values was ordered (Step 1) and then ranked (Step 2) in column 3. Topic 9: Sampling Distributions of Estimators ... central limit theorem the following statement is approximately true: Pr -1.96 < (Xn- ) 2 <1.96 = .95 or Pr Xn- 3.92 <
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