Results 21 to 30 of about 828,317 (269)
Estimating the Parameters of Mixture Gamma Distributions Using Maximum Likelihood and Bayesian Method [PDF]
This paper focuses on the mixture Gamma distribution and uses the maximum likelihood and Bayesian techniques to estimate its parameters.
Nagham Ibrahim Abdulla Najm +1 more
doaj +1 more source
Evaluation of likelihood functions
An expression is obtained for the likelihood function for the detection of a stochastic signal (diffusion process) in white noise. A stochastic differential equation is then obtained for the evolution of the likelihood function and the coefficients of this differential equation are related to a corresponding nonlinear filtering problem. Some extensions
openaire +3 more sources
LAN property for discretely observed solutions to Lévy driven SDE’s
The LAN property is proved in the statistical model based on discrete-time observations of a solution to a Lévy driven SDE. The proof is based on a general sufficient condition for a statistical model based on discrete observations of a Markov process to
D. Ivanenko, A. Kulik
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Maximum Penalized Likelihood Estimation for the Reliability Function [PDF]
This paper considers the problem of estimating probability density function based on maximum Maximum Penalized Likelihood Estimation , we will review some of the previous studies on Maximum Penalized Likelihood Estimation ( MPLE) approaches. Finally,
A. Mousa, M. khalil, N. Said, A. Fathi
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In this paper general formulas for the likelihood function have been derived in the case when uncensored/censored statistical data refer to the lifetime of serial-parallel and parallel-serial type networks when the lifetimes of the system ...
LEAHU, Alexei +2 more
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Likelihood function modelling of radar targets under high‐speed observation
The likelihood ratio function of the target plays a crucial role in applications such as tracking before detection (TBD). In the framework of random finite sets, the performance of radar target TBD based on particle filters is limited by the performance ...
YongQiang Zhang +2 more
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Profile Likelihood for Hierarchical Models Using Data Doubling
In scientific problems, an appropriate statistical model often involves a large number of canonical parameters. Often times, the quantities of scientific interest are real-valued functions of these canonical parameters.
Subhash R. Lele
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The main objective of this paper is to find the relation between the adaptive significance level presented here and the sample size. We statisticians know of the inconsistency, or paradox, in the current classical tests of significance that are based on ...
Carlos A. de B. Pereira +5 more
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ABSTRACT Background PIK3CA‐related overgrowth spectrum (PROS) includes several rare overgrowth disorders resulting from somatic gain‐of‐function mutations in PIK3CA. Despite treatment advances, including the recent approval of alpelisib for PROS in the United States, literature detailing the patient experience with PROS is limited.
Vamsi Bollu +8 more
wiley +1 more source
Aproksimasi Numerik Belah Dua dan Newton-Raphson pada Estimasi Parameter Distribusi Weibul
Life time distribution of warranted product, for example like automobile and photocopier is an interesting studies. Based on the fact that mostly, life distribution of warranted product is somewhat skewed to the right, this suggests that usual failure ...
Indira P Kinasih
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