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Homework 5, ECE 590 CS320 Toward More Reliable Software

Homework 5, ECE 590 CS320 Toward More Reliable Software

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Homework 5, ECE 590 & CS320 Toward More Reliable Software

Learn and apply R to carry out Laplace Trend Test and SRGMs model fitting on the given dataset (data1.csv, data2.csv separately) and record the results as well as the source code in one document: CourseNana.COM

The Laplace Trend Test results. This can be shown in the format of a graph, as shown below. In the graph, the upper-bound and lower-bound, corresponding to 0.025 and 0.975 quantile of a standard normal distribution, should be given. You may use R’s plot() function here. CourseNana.COM
The SRGMs fitting results collected from Rsrat, including the estimated parameter values and the fitted curves. Plot original m(t) and fitted m(t) curves. Also plot λ(t) curves with the fitted parameters for all the models. Please first read the examples provided in https://github.com/SwReliab/Rsrat Then, fit the data with some/all types of models they provide. CourseNana.COM

Note: CourseNana.COM

Please search and learn how to import a csv file in R and extract the data from it.
To install Rsrat, you might need to install “Rtools” on your computer.

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