[PDF] Top 20 Estimation of the Parameters of Poisson-Exponential Distribution Based on Progressively Type II Censoring Using the Expectation Maximization (Em) Algorithm
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Estimation of the Parameters of Poisson-Exponential Distribution Based on Progressively Type II Censoring Using the Expectation Maximization (Em) Algorithm
... for progressively type II censored data from the generalized Rayleigh ...shape parameters can be obtained via EM algorithm based on progressive ...Lindley distribution and ... See full document
9
Reliability Estimation for poisson-exponential model under Progressive type-II censoring data with binomial removal data
... right type-II censoring scheme. In last few years, the estimation of parameters of different life time distribution based on progressive censored samples have been studied ... See full document
24
Maximum Likelihood Estimation of Parameters of Lomax Distribution Based on Progressive Type-II Hybrid Censoring Scheme.
... progressive Type-II censoring scheme has a major problem in that an experiment can take a very long ...fresh censoring scheme termed Progressively Type-II Hybrid ... See full document
62
Vol 10, No 7 (2019)
... Right censoring is one of the censoring techniques used in life-testing ...common censoring schemes termed as type-I and type-II censoring ...introduced estimation ... See full document
17
Analysis of Exponential Distribution Under Adaptive Type-I Progressive Hybrid Censored Competing Risks Data
... Bayesian estimation for the exponential ...a type-II progressive hybrid censoring scheme, where the experiment is terminated at time T max x m m n : : , T , and derived the ... See full document
17
Optimizing and Reconstruction of SAR Images Using Glowworm Swarm Optimization (GSO)
... System expectation–maximization (EM) algorithm is an iterative method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the ... See full document
12
On a Generalization of the Positive Exponential Family of Distributions and the Estimation of Reliability Characteristics
... On similar lines, we perform simulation studies to compare the performance of R(t e ) and R(t b ) for different sample sizes. For t = 7 and α = β = ν = 2, we generate 10,000 samples each of size n from the generalization ... See full document
21
FPGA-Based Acceleration of Expectation Maximization Algorithm using High Level Synthesis
... Likelihood Estimation (MLE) carries a lot of standing in parametric ...or Expectation step which computers log-likelihood from the dataset and assigns each sample to clusters consequently and M-step or ... See full document
95
SYMMETRIC CRYPTOGRAPHY KEYS MANAGEMENT FOR 6LOWPAN NETWORKS
... The hi-tech development has led great success in both scientific and technical fields. Therefore we can obviously note that data processing takes less execution time and a smaller amount of human efforts. This is the ... See full document
9
Parameter Estimations for Generalized RayleighDistribution under Progressively Type I IntervalCensored Data
... for progressively type-I interval censored data from the exponential ...progressive type-I interval censoring, observations are only known within two consecutively pre-scheduled times ... See full document
12
Estimation of the Generalized Power Weibull Distribution Parameters Using Progressive Censoring Schemes
... Bayesian estimation for the shape parameters and of the generalized power Weibull (GPW) distribution based on complete censoring data, type-II censoring scheme and ... See full document
11
The Empirical Study of Online English Learning Based on the Extension of Expectation-Confirmation Model
... The Expectation-confirmation model has been widely used to discuss the topic of continuous use of information ...the Expectation-Confirmation ...the Expectation-Confirmation Model is often used to ... See full document
14
Estimation and Prediction for Type-II Hybrid Censored Data Follow Flexible Weibull Distribution
... likelihood estimation and Bayesian estimation procedures for flexible Weibull distribution are developed under the hybrid Type-II censoring ...the parameters as well as ... See full document
30
On the Maximum Likelihood and Least Squares Estimation for the Inverse Weibull Parameters with Progressively First Failure Censoring
... IW distribution using classical and Bayesian ...the parameters of the IW ...IW distribution. All these studies have been done based on a complete ...consider estimation ... See full document
16
Bayesian and Non-Bayesian Estimation for Weibull Parameters Based on Generalized Type-II Progressive Hybrid Censoring Scheme
... risks using SEL function under the assumption of gamma prior distributions of the unknown parameters of the Weibull distribution will be obtained based on generalized Type-II ... See full document
14
Estimating SUR Tobit Model while errors are gaussian scale mixtures: with an application to high frequency financial data
... true parameters, they differ substantially in MSE. The EM algorithm has the largest MSE, followed by ML ...EM algorithm itself is less accurate; the lack of preciseness is most likely induced by MCMC ... See full document
39
Bayes, Neyman and Neyman Bayes Inference for Queueing Systems
... systems parameters we will build sequences of random varia! bles with the posterior probability density functions (1’) and we will study the convergence in probabi! lity and in distribution in the second ... See full document
13
PARALIND-based blind joint angle and delay estimation for multipath signals with uniform linear array
... The estimation of DOAs and time delays of the multipath rays is one major problem in smart antenna system to effectively locate and track various types of signals to minimize interference and maximize intended ... See full document
13
Fault Prediction using Quad Tree and Expectation Maximization Algorithm
... Clustering can be considered the most dominant unsupervised learning technique. Clustering invariably focuses on finding a particular pattern or structure, in a collection of unlabeled data. Clustering falls under the ... See full document
5
The Image of the Region Element Based on the Activities of Pedestrians
... Based on figure 12, it can be seen that the similarity of image evaluation of regional elements is strongly influenced by the closeness of activities at the same location point, such as on the Merdeka Utara, ... See full document
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