Discrete Probability Detector in VB6 [PDF]
Discrete Probability Detector (DPD) is an algorithm that transforms any sequence of symbols into a transition matrix. It is able to detect the number of states from the sequence and calculate the transition probabilities between these states.
Paul A. Gagniuc (1818325)
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Discrete Probability Detector [PDF]
Discrete Probability Detector (Paul A. Gagniuc. Algorithms in Bioinformatics: Theory and Implementation. John Wiley & Sons, Hoboken, NJ, USA, 2021, ISBN: 9781119697961)
Paul A. Gagniuc (1818325)
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Some Technical Remarks on Negations of Discrete Probability Distributions and Their Information Loss [PDF]
Negation of a discrete probability distribution was introduced by Yager. To date, several papers have been published discussing generalizations, properties, and applications of negation. The recent work by Wu et al.
Klein, Ingo, Ingo Klein
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Hurdle Count-Data Models in Recreation Demand Analysis
When a sample of recreators is drawn from the general population using a survey, many in the sample will not recreate at a recreation site of interest.
John Scott Shonkwiler, W. Douglass Shaw
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Application of Gegenbauer Polynomials with Two Variables to Bi-univalency of Generalized Discrete Probability Distribution Via Zero-Truncated Poisson Distribution Series [PDF]
The present study is unique in exploring bi-univalent functions, which has recently garnered attention from many researchers in Geometric Function Theory (GFT).
Tunji Ibrahim Awolere +2 more
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Discrete Extension of Poisson Distribution for Overdispersed Count Data: Theory and Applications
In this study, a new one-parameter discrete probability distribution is introduced for overdispersed count data based on a combining approach. The important statistical properties can be expressed in closed forms including factorial moments, moment ...
Mohamed S. Eliwa +4 more
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Discrete Complex Analysis and Probability [PDF]
Proceedings of the International Congress of Mathematicians (ICM), Hyderabad, India, 2010.
openaire +5 more sources
Variance Upper Bounds and a Probability Inequality for Discrete α-Unimodality [PDF]
Variance upper bounds for discrete α-unimodal distributions defined on finite support are established. These bounds depend on the support and the unimodality index α. It is noted that the upper bounds increase as the unimodality index α increases.
A. Mashhour
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Channels with arbitrarily varying channel probability functions in the presence of noiseless feedback [PDF]
Ahlswede R. Channels with arbitrarily varying channel probability functions in the presence of noiseless feedback. Zeitschrift für Wahrscheinlichkeitstheorie und verwandte Gebiete.
Ahlswede, Rudolf
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The Interval Probability: Applications to Discrete Random Variables
The inteval probability is a proposal for solving numerical problems in computing probabilities.
M.A. Campos
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