Share This Author
APPL
- Andrew G. Glen, D. Evans, L. Leemis
- Computer Science
- 1 May 2001
TLDR
Reliability: Probabilistic Models and Statistical Methods
- L. Leemis
- Engineering, Mathematics
- 30 December 1994
TLDR
Nonparametric Estimation of the Cumulative Intensity Function for a Nonhomogeneous Poisson Process from Overlapping Realizations
A nonparametric technique for estimating the cumulative intensity function of a nonhomogeneous Poisson process from one or more realizations on an interval is extended here to include realizations…
Nonparametric estimation of the Cumulative intensity function for a nonhomogeneous Poisson process
- L. Leemis
- Mathematics
- 1 July 1991
A nonparametric technique for estimating the cumulative intensity function of a nonhomogeneous Poisson process from one or more realizations is developed. This technique does not require any…
Univariate Distribution Relationships
- L. Leemis, J. McQueston
- Mathematics
- 1 February 2008
Probability distributions are traditionally treated separately in introductory mathematical statistics textbooks. A figure is presented here that shows properties that individual distributions…
Survival Distributions Satisfying Benford's Law
- L. Leemis, B. Schmeiser, D. Evans
- Mathematics
- 1 November 2000
Abstract Hill stated that “An interesting open problem is to determine which common distributions (or mixtures thereof) satisfy Benford's law …”. This article quantifies compliance with Benford's law…
Computing the distribution of the product of two continuous random variables
- Andrew G. Glen, L. Leemis, J. Drew
- Computer Science, MathematicsComput. Stat. Data Anal.
- 2004
The logistic–exponential survival distribution
- Yingjie Lan, L. Leemis
- Mathematics
- 1 April 2008
For various parameter combinations, the logistic–exponential survival distribution belongs to four common classes of survival distributions: increasing failure rate, decreasing failure rate,…
Order statistics in goodness-of-fit testing
- Andrew G. Glen, L. Leemis, D. Barr
- MathematicsIEEE Trans. Reliab.
- 1 June 2001
Our new method uses order statistics to judge the fit of a distribution to data. A test-statistic based on quantiles of order-statistics compares favorably with the Kolmogorov-Smirnov (K-S) and…
...
...