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Markov Chain

  • Couverture cartonnée
  • 108 Nombre de pages
We have studied finite Markov Chain elaborately with almost all its properties. One of the main issues of Markov Chain is the esti... Lire la suite
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Description

We have studied finite Markov Chain elaborately with almost all its properties. One of the main issues of Markov Chain is the estimation procedure of the transition probabilities. In this study we restrict our self in the most popular estimation procedure and that is the Maximum Likelihood Estimation (MLE) procedure. Here in this study we have also considered two efficient and mostly used test procedures for indentifying the properties of Markov Chain and they are order test and the test of homogeneity or stationarity test. And we apply these estimation procedure and the test procedures to the diabetes mellitus data which is the most popular repeated ordinal data. And our findings of applying these procedures (estimation procedure and the test procedures) over the data is that the diabetes mellitus data follows the second order Markov Chain and time homogeneous property. And we also proposed logistic regression model for each consecutive visit.

Auteur

Md. Rajibul Islam Mian completed his Masters in Applied Statistics at University of Dhaka, in 2008. He is Graduate Research Assistant, Research Assistant and Graduate Teaching Assistant (From September 2009) in the Department of Mathematics and Statistics, University of New Brunswick, Canada.

Détails sur le produit

Titre: Markov Chain
Sous-titre: AN APPROACH for Analyzing Repeated Ordinal Data
Auteur:
Code EAN: 9783639255140
ISBN: 978-3-639-25514-0
Format: Couverture cartonnée
Genre: Mathématique
nombre de pages: 108
Poids: 160g
Taille: H220mm x B220mm
Année: 2014