Generating Large Sequences of Normal Maxima via Record Values
- Authors: Pakhteev A.I.1, Stepanov A.V.1
-
Affiliations:
- Immanuel Kant Baltic Federal University
- Issue: Vol 51, No 3 (2018)
- Pages: 260-266
- Section: Mathematics
- URL: https://journals.rcsi.science/1063-4541/article/view/186085
- DOI: https://doi.org/10.3103/S106345411803007X
- ID: 186085
Cite item
Abstract
In our recent paper [4], algorithms for generating normal record values were developed. The developed algorithms were faster and more efficient than currently existing algorithms for generating normal record values. Algorithm 2.2, presented in this paper, is the most efficient algorithm among the algorithms studied in [4]. It allows generating “long” sequences of record values (up to two billion record values). In the present paper, two algorithms for generating normal maxima are proposed, one of which is based on algorithm 2.2. It also allows the generation of maxima taken from “large” samples. An algorithm for generating record times in a general continuous case is also proposed in the present paper.
About the authors
A. I. Pakhteev
Immanuel Kant Baltic Federal University
Author for correspondence.
Email: mir123i3@gmail.com
Russian Federation, Kaliningrad, 236041
A. V. Stepanov
Immanuel Kant Baltic Federal University
Email: mir123i3@gmail.com
Russian Federation, Kaliningrad, 236041
Supplementary files
