Open AccessBook
An Introduction to Probability Theory and Its Applications, Volume II
Frank E. Grubbs,William Feller +1 more
- 01 Jan 1971
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About: The article was published on 01 Jan 1971. and is currently open access. The article focuses on the topics: Law of the unconscious statistician & Convolution of probability distributions.
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Citations
A new slot allocation for ATFM
Vu Duong,F. Ferchaud,Cyril Gavoille,M. Mosbah +3 more
- 01 Jan 2004
TL;DR: Air traffic flow management (ATFM) is a service established with the objective of contributing to safe, orderly, and expeditious flow of air traffic as mentioned in this paper, which is divided into three phases.
•Posted Content
Joint large deviation result for empirical measures of the coloured random geometric graphs
TL;DR: Joint large deviation principle for the empirical pair measure and empirical locality measure of the near intermediate coloured random geometric graph models on n points picked uniformly in a d-dimensional torus of a unit circumference is proved.
7
•Posted Content
Renewal theory in analysis of tries and strings
TL;DR: A survey of simple applications of renewal theory to problems on random strings and tries is given in this paper, including insertion depth, size, insertion mode and imbalance of tries; variations for b-tries and Patricia tries; Khodak and Tunstall codes.
Asymptotic behavior of cell populations described by two-type reducible age-dependent branching processes with non-homogeneous immigration().
Ollivier Hyrien,Nikolay M. Yanev +1 more
TL;DR: Two-type age-dependent branching processes with immigration are proposed to model populations of progenitor cells and their differentiated progenies to improve the accuracy of asymptotic approximations to the expectations of the total cell counts.
7
Tail bounds for the distribution of the deficit in the renewal risk model
TL;DR: In this paper, the authors derived upper and lower bounds for the tail of the deficit at ruin in the renewal risk model, which are applicable generally; and (ii) based on reliability classifications.
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