Although many time series are realizations from discrete processes, it is often that a continuous Gaussian model is implemented for modeling and forecasting the data, resulting in incoherent forecasts. Forecasts using a Poisson-Lindley integer autoregressive (PLINAR) model are compared to variations of Gaussian forecasts via simulation by equating ...
Gidaro, Rachel D., Harvill, Jane L.
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Bayesian statistical inference of loglogistic model with interval-censored lifetime data [PDF]
, 2015 The properties of Palm Oil (PO) and Coconut Oil (CO) offer the potential for transformers Interval-censored data arise when a failure time say, T cannot be observed directly but can only be determined to lie in an interval obtained from a series of ...
Guure, Chris Bambey +3 more
core
Inference of multicomponent stress-strength reliability following Topp-Leone distribution using progressively censored data. [PDF]
J Appl Stat, 2023 Saini S, Tomer S, Garg R.
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Estimation of the stress-strength parameter under two-sample balanced progressive censoring scheme
In this paper, we obtain the stress-strength reliability estimation under balanced joint Type-II progressive censoring scheme for independent samples from two different populations.
Kundu, Debasis +2 more
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Optimal sampling and statistical inferences for Kumaraswamy distribution under progressive Type-II censoring schemes. [PDF]
Sci Rep, 2023 Abo-Kasem OE, El Saeed AR, El Sayed AI.
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Bayesian analysis of time series using Lindley`s approximation
, 2020 The autoregressive model of order p and moving-average model of order q are analyzed when the parameters and the precision of the error term are random variables. In the analysis the squared error (SE) and linear exponential (LINEX) loss functions are utilized. Using four different priors, the Bayes estimators of the parameters are derived.
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Estimation of stress-strength reliability for Marshall-Olkin distributions based on progressively Type-II censored samples. [PDF]
J Appl Stat, 2022 Ghanbari S +2 more
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LINEAR AND BAYESIAN ESTIMATION OF THE PARAMETERS OF THE TYPE II GENERALIZED LOGISTIC DISTRIBUTION BASED ON PROGRESSIVELY TYPE II CENSORED DATA [PDF]
Generalized distributions have become widely used in applications recently. They are very flexible in data analysis, especially with skewed models that are important and occur frequently in many applications.
RIMAWI, RANA
core
On Suitability of Mixture of Generalized Exponential Models in Modeling Right-Censored Medical Datasets Using Conditional Expectations. [PDF]
Comput Math Methods Med, 2022 Feroze N +4 more
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An Improved Estimation for Heterogeneous Datasets with Lower Detection Limits regarding Environmental Health. [PDF]
Comput Math Methods Med, 2022 Feroze N +4 more
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