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- W1544996696 abstract "The building of a model to solve a problem must take into account all the relevant information available to the modeler. This can vary from very limited to considerable, and we look at this in the context of reliability theory in later chapters. In this chapter we focus our attention on model building based solely on data comprising failure and censored times. The resulting model is called an empirical model (or data-dependent model or black-box model) as the data available forms the basis for the model building. This type of model is also appropriate when there is insufficient understanding so that no other approach can be used to model the date. The data that we consider are univariate, continuous valued, and statistically independent. We start with a brief discussion relating to the data aspects. We then consider the preliminary and final model selections, respectively. Following this, we illustrate the approach through three case studies." @default.
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- W1544996696 date "2003-10-31" @default.
- W1544996696 modified "2023-10-15" @default.
- W1544996696 title "Weibull Modeling of Data" @default.
- W1544996696 doi "https://doi.org/10.1002/047147326x.ch16" @default.
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