Results 51 to 60 of about 13,556,907 (351)
A method for parameter hypothesis testing in nonparametric regression with Fourier series approach
MethodsX, 2023 Nonparametric regression model with the Fourier series approach was first introduced by Bilodeau in 1994. In the later years, several researchers developed a nonparametric regression model with the Fourier series approach.
Mustain Ramli +2 more
doaj +1 more source
Evidential-EM Algorithm Applied to Progressively Censored Observations [PDF]
, 2014 Evidential-EM (E2M) algorithm is an effective approach for computing maximum likelihood estimations under finite mixture models, especially when there is uncertain information about data.
A.P. Dempster +5 more
core +5 more sources
Empirical Likelihood for Non‐Smooth Criterion Functions [PDF]
Scandinavian Journal of Statistics, 2009 Abstract. Suppose thatX1,…, Xnis a sequence of independent random vectors, identically distributed as ad‐dimensional random vectorX. Letbe a parameter of interest andbe some nuisance parameter. The unknown, true parameters (μ0,ν0) are uniquely determined by the system of equationsE{g(X,μ0,ν0)} = 0, whereg = (g1,…,gp+q) is a vector ofp+qfunctions.
MOLANES LOPEZ, Elisa Maria +2 more
openaire +5 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT The pediatric hematology‐oncology fellowship training curriculum has not substantially changed since its inception. The first year of training is clinically focused, and the second and third years are devoted to scholarship. However, this current structure leaves many fellows less competitive in the current job market, resulting in ...
Scott C. Borinstein +3 more
wiley +1 more source
Maximum Smoothed Likelihood Component Density Estimation in Mixture Models with Known Mixing Proportions [PDF]
, 2014 In this paper, we propose a maximum smoothed likelihood method to estimate the component density functions of mixture models, in which the mixing proportions are known and may differ among observations.
Li, Pengfei, Qin, Jing, Yu, Tao
core
Comparison of methods to extract an asymmetry parameter from data
, 2011 Several methods to extract an asymmetry parameter in an event distribution function are discussed and compared in terms of statistical precision and applicability.
Pretz, Jörg
core +1 more source
Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus +6 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga +56 more
wiley +1 more source
Estimating the Parameters of Mixture Gamma Distributions Using Maximum Likelihood and Bayesian Method [PDF]
المجلة العراقية للعلوم الاحصائيةThis 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
Lifestyle Behaviors and Cardiotoxic Treatment Risks in Adult Childhood Cancer Survivors
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Higher doses of anthracyclines and heart‐relevant radiotherapy increase cardiovascular disease (CVD) risk. This study assessed CVD and CVD risk factors among adult childhood cancer survivors (CCSs) across cardiotoxic treatment risk groups and examined associations between lifestyle behaviors and treatment risks.
Ruijie Li +6 more
wiley +1 more source