Abstract
As we stated in Chap. 2, a population is defined as the entire collection of measurements about which we want to make a statement, such as all possible measurements of dissolved oxygen in a specific section of a stream within a certain time period. Probability distributions are idealized mathematical models that are used to model the variability inherent in a population. Certain probability distributions come up again and again in environmental statistics. This chapter discusses the functions available in EnvStats for plotting probability distributions, computing quantities associated with these distributions, and generating random numbers from these distributions. See Millard et al. (2014) for a more in-depth discussion of probability distributions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Millard, S.P., P. Dixon, and N.K. Neerchal. (2014). Environmental Statistics with R. CRC Press, Boca Raton, Florida.
Singh, A., A.K. Singh, and R.J. Iaci. (2002). Estimation of the Exposure Point Concentration Term Using a Gamma Distribution. EPA/600/R-02/084. October 2002. Technology Support Center for Monitoring and Site Characterization, Office of Research and Development, Office of Solid Waste and Emergency Response, U.S. Environmental Protection Agency, Washington, D.C.
Singh, A., R. Maichle, and N. Armbya. (2010a). ProUCL Version 4.1.00 User Guide (Draft). EPA/600/R-07/041, May 2010. Office of Research and Development, U.S. Environmental Protection Agency, Washington, D.C.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media New York
About this chapter
Cite this chapter
Millard, S.P. (2013). Probability Distributions. In: EnvStats. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8456-1_4
Download citation
DOI: https://doi.org/10.1007/978-1-4614-8456-1_4
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-8455-4
Online ISBN: 978-1-4614-8456-1
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)