The objectives of preliminary data analysis are to edit the data to prepare it for further analysis, describe the key features of the data, and summarize the results. This chapter deals with quantitative and qualitative approaches to achieving these objectives. Topics covered include scales of measurement, types of data, graphical methods of analysisᾢincluding histograms, probability plots, and other graphical representations of data, and basic descriptive statisticsᾢmean, median, fractiles, standard deviation, and so forth. The chapter concludes with a discussion of the use of probability plots in preliminary model selection.
Weibull Distribution Claim Data Probability Plot Weibull Model Empirical Distribution Function
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