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- W2493551326 abstract "This chapter explains the concept of continuous probability distribution and its various forms. The beta distribution is useful in modeling because its support is over a bounded range, and it has a variety of shapes. Both α and β are shape parameters and take positive values. The support is the interval 0 to 1, though location and scale transformation will take it into any bounded interval. The burr distributions is a system of 12 distributions based on the solutions of a system of differential equations and these solutions can be read as cdfs. It has been described that exponential distribution models the intervals between events occurring at a constant rate. Both exponential and Poisson distributions model the process, known as the Poisson process, of events occurring independently at a constant rate." @default.
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- W2493551326 date "2012-01-02" @default.
- W2493551326 modified "2023-09-26" @default.
- W2493551326 title "Continuous Probability Distributions" @default.
- W2493551326 doi "https://doi.org/10.1002/9781119207054.ch20" @default.
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