As is well known, the normal distribution is a key tool in probability and statistics. It can be described as a distribution that obeys a universal rule derived from one of the most important theorems ...

Provides a one-semester course in probability and statistics with applications in the engineering sciences. Probability of events, discrete and continuous random variables cumulative distribution, ...

Addresses the topics of probability, random variables, discrete and continuous densities, expectation and variance, special distributions (binomial, Poisson, normal, etc.), moment generating functions ...

This section describes the probability distributions available in the RELIABILITY procedure for probability plotting and parameter estimation. Refer to Lawless (1982, p. 240) for a description of the ...

Sankhyā: The Indian Journal of Statistics, Series A (1961-2002), Vol. 49, No. 1 (Feb., 1987), pp. 17-23 (7 pages) In this paper we discuss the differential geometric properties induced by the ...

This course is compulsory on the BSc in Actuarial Science and BSc in Financial Mathematics and Statistics. This course is available on the BSc in Data Science, BSc in Econometrics and Mathematical ...

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

Julie Young is an experienced financial writer and editor. She specializes in financial analysis in capital planning and investment management. Suzanne is a content marketer, writer, and fact-checker.

Students of statistics and researchers in search of a stats review will appreciate the Probability-Distributions app designed by Dr. Matthew Bognar at the University of Iowa. The app includes ...