[图书][B] Semi-Markov chains and hidden semi-Markov models toward applications: their use in reliability and DNA analysis
Here is a work that adds much to the sum of our knowledge in a key area of science today. It
is concerned with the estimation of discrete-time semi-Markov and hidden semi-Markov …
is concerned with the estimation of discrete-time semi-Markov and hidden semi-Markov …
Empirical estimation for discrete-time semi-Markov processes with applications in reliability
We consider a discrete-time semi-Markov process, with a finite state space. Taking a
censored history, we obtain empirical estimators for the semi-Markov kernel, semi-Markov …
censored history, we obtain empirical estimators for the semi-Markov kernel, semi-Markov …
Edited by P. Bickel, P. Diggle, S. Fienberg, U. Gather
I Olkin, S Zeger - 2006 - Springer
In 2006, Paul W. Holland retired from Educational Testing Service (ETS) after a career
spanning five decades. In 2008, ETS sponsored a conference, Looking Back, honoring …
spanning five decades. In 2008, ETS sponsored a conference, Looking Back, honoring …
Multi-state reliability systems under discrete time semi-Markovian hypothesis
O Chryssaphinou, N Limnios… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
We consider repairable Multi-state reliability systems with components, the lifetimes and the
repair times of which are-independent. The-th component can be either in the complete …
repair times of which are-independent. The-th component can be either in the complete …
Reliability measures of semi-Markov systems with general state space
N Limnios - Methodology and Computing in Applied Probability, 2012 - Springer
The aim of this paper is to present a systematic modeling of reliability and related measures:
availability, maintainability, failure rate, rate of occurrence of failures, mean times, etc …
availability, maintainability, failure rate, rate of occurrence of failures, mean times, etc …
Semi-Markov modelling for multi-state systems
In this work we focus on multi state systems that we model by means of semi-Markov
processes. The sojourn times are seen to be independent not identically distributed random …
processes. The sojourn times are seen to be independent not identically distributed random …
Empirical estimator of stationary distribution for semi-Markov processes
The problem of statistical inference for semi-Markov processes is of increasing interest in
recent literature. The aim of this article is to present an empirical estimator of the stationary …
recent literature. The aim of this article is to present an empirical estimator of the stationary …
Scaling properties, multifractality and range of correlations in earthquake timeseries: Are earthquakes random
G Michas, F Vallianatos - Statistical Methods and Modeling of …, 2021 - books.google.com
The most fundamental and intriguing problem in seismology and geophysics is earthquake
predictability. Scientific reasoning oscillates throughout the years between rejective and …
predictability. Scientific reasoning oscillates throughout the years between rejective and …
Nonparametric estimation of some important indicators in reliability for semi-Markov processes
In this article we present nonparametric estimators of the mean time to failure (MTTF), the
mean up time (MUT), and the mean down time (MDT) of an arbitrary finite semi-Markov …
mean up time (MUT), and the mean down time (MDT) of an arbitrary finite semi-Markov …
Large deviations for empirical estimators of the stationary distribution of a semi-Markov process with finite state space
C Macci - Communications in Statistics—Theory and Methods, 2008 - Taylor & Francis
We prove the large deviation principle for empirical estimators of stationary distributions of
semi-Markov processes with finite state space, irreducible embedded Markov chain, and …
semi-Markov processes with finite state space, irreducible embedded Markov chain, and …