Results 71 to 80 of about 19,296,908 (351)

On the definition of likelihood function

open access: yes, 2019
We discuss a general definition of likelihood function in terms of Radon-Nikodým derivatives. The definition is validated by the Likelihood Principle once we establish a result regarding the proportionality of likelihood functions under different dominating measures.
Gonçalves, Flávio B., Franklin, Pedro
openaire   +2 more sources

Likelihood function for a simple cardioid sonobuoy [PDF]

open access: yesIEE Proceedings - Radar, Sonar and Navigation, 2006
Likelihood Function for a Simple Cardioid Sonobuoy Andrew R. Runnalls, University of Kent Published in IEE Proceedings Radar, Sonar and Navigation 153 [2006] pp. 417--26 ABSTRACT This paper considers the common sonobuoy configuration comprising two horizontal dipoles mounted orthogonally together with an omnidirectional sensor.
openaire   +2 more sources

Restricted Likelihood Ratio Testing in Linear Mixed Models with General Error Covariance Structure [PDF]

open access: yes, 2011
We consider the problem of testing for zero variance components in linear mixed models with correlated or heteroscedastic errors. In the case of independent and identically distributed errors, a valid test exists, which is based on the exact finite ...
Sonja Greven   +5 more
core   +1 more source

A Situational Assessment of the Diagnostic Landscape and Organizational Readiness to Implement Next‐Generation Sequencing at Two Childhood Cancer Treatment Centers in Ghana

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Next‐generation sequencing (NGS) has emerged as a promising approach to improve diagnostic accuracy, but its feasibility in low‐ and middle‐income countries remains unknown. This study characterized the diagnostic landscape and assessed organizational readiness for NGS implementation at two childhood cancer treatment centers in Accra ...
Melissa Carvalho   +6 more
wiley   +1 more source

MEASUREMENT OF THE MAIN CHARACTERISTICS OF PuBe AND 238PuBe NEUTRON SOURCES USING BONNER SPHERE SPECTROMETER WITH A 3He-COUNTER

open access: yesEast European Journal of Physics, 2017
The energy and pulse height spectrum of PuBe and 238PuBe neutron sources are measured without taking into account scattered radiation, taking into account this radiation (without the shadow cone) and own scattered radiation from these sources (with a ...
V. B. Ivanskyi   +3 more
doaj  

On Maximum Likelihood Estimation of the Markov Process [PDF]

open access: yesThe Egyptian Statistical Journal, 1981
The maximum likelihood estimators of the unknown parameters of the stationary Gaussian Markov process are obtained. The likelihood function of the observations is derived.
A.A. Abd-Alla
doaj   +1 more source

CMB likelihood functions for beginners and experts [PDF]

open access: yesConference on 3K cosmology, 1999
Although the broad outlines of the appropriate pipeline for cosmological likelihood analysis with CMB data has been known for several years, only recently have we had to contend with the full, large-scale, computationally challenging problem involving both highly-correlated noise and extremely large datasets ($N > 1000$). In this talk we concentrate
Jaffe, A, Bond, JR, Ferreira, P, Knox, L
openaire   +4 more sources

Pediatric Mediastinal Gray Zone Lymphoma With Germline TET2 Heterozygous Variant

open access: yes
Pediatric Blood &Cancer, EarlyView.
Matthew R. Schuelke   +9 more
wiley   +1 more source

Beyond the Document: A Single‐Center Qualitative Study of Survivorship Care Plan Barriers and Opportunities Across Pediatric Oncology Stakeholders

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survivorship care plans (SCPs) summarize cancer treatment and guide risk‐based follow‐up for cancer survivors, yet remain difficult to create, share, and use. Stakeholder perspectives are needed to inform usable approaches.
Molly S. Talman   +4 more
wiley   +1 more source

Maximum kernel likelihood estimation [PDF]

open access: yes, 2008
We introduce an estimator for the population mean based on maximizing likelihoods formed by parameterizing a kernel density estimate. Due to these origins, we have dubbed the estimator the maximum kernel likelihood estimate (mkle). A speedy computational
Jaki, Thomas, West, R. Webster
core   +4 more sources

Home - About - Disclaimer - Privacy