Template:Simulation Based Bounds: Difference between revisions

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-== Simulation Based Bounds ==
+#REDIRECT [[Confidence_Bounds#Simulation_Based_Bounds]]
-The SimuMatic tool in Weibull++ can be used to perform a large number of reliability analyses on data sets that have been created using Monte Carlo simulation. This utility can assist the analyst to a) better understand life data analysis concepts, b) experiment with the influences of sample sizes and censoring schemes on analysis methods, c) construct simulation-based confidence intervals, d) better understand the concepts behind confidence intervals and e) design reliability tests. This section describes how to use simulation for estimating confidence bounds. <br> SimuMatic generates confidence bounds and assists in visualizing and understanding them. In addition, it allows one to determine the adequacy of certain parameter estimation methods (such as rank regression on X, rank regression on Y and maximum likelihood estimation) and to visualize the effects of different data censoring schemes on the confidence bounds.
-'''Example 4:'''
-{{Example: Comparing Parameter Estimation Methods Using Simulation Based Bounds}}