Results 31 to 40 of about 4,220,209 (306)
Implicit Maximum Likelihood Estimation
CoRR, 2018 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
Mathematics, 2020 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
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Comparative Drug Response Profiling in Neuroblastoma Cell Lines and Patient‐Derived Tumor Organoids
Pediatric Blood &Cancer, EarlyView.ABSTRACT High‐risk neuroblastoma remains a leading cause of pediatric cancer mortality, and improved preclinical models are needed to guide therapeutic developments. We screened seven high‐risk neuroblastoma cell lines and three patient‐derived tumor organoids with 528 compounds alongside bone marrow controls, and compared them with external datasets ...
Krzysztof Wierbiłowicz +12 more
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Maximum Lq-likelihood estimation
The Annals of Statistics, 2010 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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Pediatric Blood &Cancer, EarlyView.ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani +7 more
wiley +1 more source
Minimum Message Length Inference of the Exponential Distribution with Type I Censoring
Entropy, 2021 Data with censoring is common in many areas of science and the associated statistical models are generally estimated with the method of maximum likelihood combined with a model selection criterion such as Akaike’s information criterion.
Enes Makalic, Daniel Francis Schmidt
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben +4 more
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Deterministic and stochastic modelling of greenhouse microclimate
Systems Science & Control Engineering, 2019 In order to improve the yield and quality of greenhouse crops, it is necessary to develop a reliable model to predict and control the microclimate of greenhouse.
Hua Yang, Qi-Fang Liu, Huai-Qing Yang
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Revstat Statistical Journal, 2016 In this paper, classical and Bayesian point estimations of the Topp–Leone distribution shape parameter are studied when the sample is progressive Type II censored. The maximum likelihood estimator (MLE) of the unknown parameter is proposed.
Husam Awni Bayoud
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Tikrit Journal of Administrative and Economic Sciences, 2020 By this research we will deal with the Generalized Goel- okumoto model parameters, since this model contains three parameters (α, β, ), that represents the time-rate function of the heterogeneous Poisson's processes, the parameters of this model will be ...
Ali Mohammed Ali Chichan
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