Distributions of Random Variables
Milan Holický
Additional contact information
Milan Holický: Czech Technical University in Prague, Klokner Institute, Department of Structural Reliability
Chapter Chapter 4 in Introduction to Probability and Statistics for Engineers, 2013, pp 43-52 from Springer
Abstract:
Abstract Two different categories of random variables are commonly used in engineering and scientific applications of probability and statistics: discrete and continuous random variables. Every random variable can be described by distribution function and corresponding probability density function. Commonly used distribution functions are defined by a limited number of parameters. Similarly as in the case of sample characteristics, distribution parameters, summarized in Appendix 1, are used to characterise the location, dispersion, asymmetry and peakedness of a distribution. So called standardized random variables, having the means equal to zero and variances equal to 1, are often applied in numerical methods used to analyse the random properties of engineering and scientific systems.
Keywords: Standardized Random Variables; Random Properties; Probability Density Function; Moment Parameters; Central Moments (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-38300-7_4
Ordering information: This item can be ordered from
http://www.springer.com/9783642383007
DOI: 10.1007/978-3-642-38300-7_4
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().