Posterior Estimates of Poisson Distribution Using R Software
نویسندگان
چکیده
منابع مشابه
Estimation of Survival Distribution Using R Software
Survival analysis is widely applied in many fields such as biology, medicine, and public health. A typical analysis of survival data involves the modeling of time-to-event data, such as the time until death. To find Survival probabilities of the given observations censored or not, use Kaplan-Meier methods of estimation. But this method gives survival probabilities at any specific time. So this ...
متن کاملBayesian posterior mean estimates for Poisson hidden Markov models
This paper focuses on the Bayesian posterior mean estimates (or Bayes’ estimate) of the parameter set of Poisson hidden Markov models in which the observation sequence is generated by a Poisson distribution whose parameter depends on the underlining discrete-time time-homogeneous Markov chain. Although the most commonly used procedures for obtaining parameter estimates for hidden Markov models ...
متن کاملApplication of Gompertz-Poisson Distribution in LifetimeTheory
Gompertz-Poisson distribution is a three-parameter lifetime distribution with increasing, decreasing, increasing-decreasing and unimodal shape failure rate function and a composition of Gompertz and Poisson distributions cut at zero point that in this paper estimated the parameters of the distribution by maximum likelihood method and in order to confirm the calculated estimates, based on random...
متن کاملEfficient search using posterior phone probability estimates
In this paper we present a novel, efficient search strategy for large vocabulary continuous speech recognition (LVCSR). The search algorithm, based on stack decoding, uses posterior phone probability estimates to substantially increase its efficiency with minimal effect on accuracy. In particular, the search space is dramatically reduced by phone deactivation pruning where phones with a small l...
متن کاملReliability Estimates of Generalized Poisson Distribution and Generalized Geometric Series Distribution
Discrete distributions have played an important role in the reliability theory. In order to obtain Bayes estimators, researchers have adopted various conventional techniques. Generalizing the results of Maiti (1995), Chaturvadi and Tomer (2002) dealt with the problem of estimating P{X1, X2, …, Xk ≤ Y}, where random variables X and Y were assumed to follow a negative binomial distribution. Agit ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Modern Applied Statistical Methods
سال: 2012
ISSN: 1538-9472
DOI: 10.22237/jmasm/1351743780