On a \(q\)-steady state Markov chain model based on transformed dual \(q\)-Krawtchouk orthogonal polynomials and its limiting behaviour
DOI10.1007/s11009-009-9148-0zbMath1206.60069OpenAlexW2057971944MaRDI QIDQ607611
Malvina G. Vamvakari, Andreas George Kyriakoussis
Publication date: 22 November 2010
Published in: Methodology and Computing in Applied Probability (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11009-009-9148-0
Markov chain\texttt{MAPLE}\(q\)-continuous Gauss distribution\(q\)-discrete distribution\(q\)-Hermite distributiondual \(q\)-Krawtchouk orthogonal polynomials
Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Computation of special functions and constants, construction of tables (65D20) Branching processes (Galton-Watson, birth-and-death, etc.) (60J80) Other special orthogonal polynomials and functions (33C47)
Related Items (2)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- \(q\)-discrete distributions based on \(q\)-Meixner and \(q\)-Charlier orthogonal polynomials-asymptotic behaviour
- \(q\)-Gaussian processes: Non-commutative and classical aspects
- The moment problem associated with the Stieltjes-Wigert polynomials
- Moments of a class of discrete \(q\)-distributions
- Steady-state Markov chain models for certain \(q\)-confluent hypergeometric distributions
- Steady-state Markov chain models for the Heine and Euler distributions
- Absorption sampling and the absorption distribution
- A Method for q-Calculus
- Aq-deformed Poisson distribution based on orthogonal polynomials
- q-Probability: I. Basic Discrete Distributions
- The q-deformed binomial distribution and its asymptotic behaviour
This page was built for publication: On a \(q\)-steady state Markov chain model based on transformed dual \(q\)-Krawtchouk orthogonal polynomials and its limiting behaviour