Exponential Distribution

Arjun K. Gupta (), Wei-Bin Zeng () and Yanhong Wu ()
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Arjun K. Gupta: Bowling Green State University, Department of Mathematics and Statistics
Wei-Bin Zeng: University of Louisville, Department of Mathematics
Yanhong Wu: California State University Stanislaus, Department of Mathematics

Chapter Chapter 2 in Probability and Statistical Models, 2010, pp 23-43 from Springer

Abstract: Abstract In establishing a probability model for a real-world phenomenon, it is always necessary to make certain simplifying assumptions to render the mathematics tractable. However, we cannot make too many simplifying assumptions, for then our conclusions, obtained from the probability model, would not be applicable to the real-world phenomenon. Thus, we must make enough simplifying assumptions to enable us to handle the mathematics but not so many that the model no longer resembles the real-world phenomenon.

Keywords: Real-world Phenomena; Exponential Random Variables; Independent Positive Random Variables; Underlying Life Distribution; Memoryless Property (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1007/978-0-8176-4987-6_2

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