Results 21 to 30 of about 288,039 (268)
Statistical analysis of parallel system for masked data under successive censored life test
Supposing that the system is composed of two units in parallel and the lifetime of units have constant failure rate and linear failure rate through the origin, we propose maximum likelihood estimate of parallel system for masked data under simple ...
XU Xiaoling +3 more
doaj +1 more source
Semi-Nonparametric Maximum Likelihood Estimation [PDF]
The density of Hermite forms: \[ h(u)=P^ 2_ k(u-\tau)\Phi^ 2(u| \tau,diag(\gamma)) \] where \(P_ k\) is a polynomial of degree K and \(\Phi\) is the density function of the multivariate normal distribution is shown to be capable of approximating any density arbitrarily closely subject to minimal qualifications relating to compactness, denseness ...
Gallant, A Ronald, Nychka, Douglas W
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STATISTICAL INFERENCE FOR M/M/1/N QUEUEING SYSTEM WITH BALKING, RENEGING AND REFLECTING BARRIER UNDER QUALITY CONTROL PROCESS [PDF]
In this paper we develop the confidence intervals for estimatingthe expected value of the units in the system and the maximumlikelihood estimates of the parameters are derived for truncated single -channel Markovian queue with balking, reneging and ...
Elham Elebiary, K. A. M. Kotb
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The b value deduced from the Gutenberg–Richter law is an important parameter for sequence and precursory analyses, both in laboratory acoustic emission tests and seismology.
Changgen Xia +4 more
doaj +1 more source
Implicit Maximum Likelihood Estimation
Implicit probabilistic models are models defined naturally in terms of a sampling procedure and often induces a likelihood function that cannot be expressed explicitly. We develop a simple method for estimating parameters in implicit models that does not require knowledge of the form of the likelihood function or any derived quantities, but can be ...
Ke Li 0011, Jitendra Malik
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Comparing Parameter Estimation of Random Coefficient Autoregressive Model by Frequentist Method
This paper compares the frequentist method that consisted of the least-squares method and the maximum likelihood method for estimating an unknown parameter on the Random Coefficient Autoregressive (RCA) model.
Autcha Araveeporn
doaj +1 more source
Maximum Lq-likelihood estimation
In this paper, the maximum L$q$-likelihood estimator (ML$q$E), a new parameter estimator based on nonextensive entropy [Kibernetika 3 (1967) 30--35] is introduced. The properties of the ML$q$E are studied via asymptotic analysis and computer simulations.
Ferrari, Davide, Yang, Yuhong
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ABSTRACT Background Central nervous system (CNS) neuroblastoma, FOXR2‐activated, is a recently recognized entity in the WHO CNS5 classification, defined by activation of the FOXR2 transcription factor and unique histopathological features. This review synthesizes available literature and pooled clinical data, providing insight into demographics ...
Sudarshawn Damodharan +1 more
wiley +1 more source
Estimating Maximum Likelihood Phylogenies with PhyML [PDF]
Our understanding of the origins, the functions and/or the structures of biological sequences strongly depends on our ability to decipher the mechanisms of molecular evolution. These complex processes can be described through the comparison of homologous sequences in a phylogenetic framework.
Guindon, Stéphane +3 more
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ABSTRACT Background Platinum‐based chemotherapy is known to cause severe and debilitating hearing loss, but unlike cisplatin, the true incidence of carboplatin‐induced hearing loss remains unclear. We evaluated functional hearing outcomes in children receiving carboplatin to determine the incidence and severity of ototoxicity. Procedure We identified a
Aniket Chawla +6 more
wiley +1 more source

