Optimal sampling and statistical inferences for Kumaraswamy distribution under progressive Type-II censoring schemes. [PDF]
Abo-Kasem OE, El Saeed AR, El Sayed AI.
europepmc +1 more source
Bayesian analysis of time series using Lindley`s approximation
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.
openaire +1 more source
Estimation of stress-strength reliability for Marshall-Olkin distributions based on progressively Type-II censored samples. [PDF]
Ghanbari S +2 more
europepmc +1 more source
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
Reliable assessment of multicomponent systems operating under uncertain stress is fundamental to modern engineering, environmental management, and risk analysis.
Zohreh Pakdaman, Reza Alizadeh Noughabi
doaj +1 more source
On Suitability of Mixture of Generalized Exponential Models in Modeling Right-Censored Medical Datasets Using Conditional Expectations. [PDF]
Feroze N +4 more
europepmc +1 more source
An Improved Estimation for Heterogeneous Datasets with Lower Detection Limits regarding Environmental Health. [PDF]
Feroze N +4 more
europepmc +1 more source
Point estimation for adaptive trial designs I: A methodological review. [PDF]
Robertson DS +5 more
europepmc +1 more source
An Approximate Tolerance Interval for the Size-Biased Poisson-Lindley Random Variable [PDF]
Azadeh Kiapour, Mehran Naghizadeh Qomi
openaire +1 more source
Bayesian estimation of the reliability function of the inverse gaussian distribution
Bayes estimates of the parameters and reliability functions are obtained for the inverse Gaussian distribution and compared with their classical counterparts.
Sinha, S. K.
core

