Results 71 to 80 of about 11,544,586 (297)

An optimal scale for the comparison of air pollution in east and west Tehran [PDF]

open access: yesعلوم محیطی, 2018
Introduction: Air pollution in the metropolis of Tehran is a serious environmental issue. Assigning an optimal budget to deal with air pollution problems in the East (no.4) and West (no.22) regions of Tehran, determining the optimal proportion of green ...
Masoud Ganji, Akbar Abravesh
doaj  

On bayesian methods for seeking the extremum [PDF]

open access: yes, 1975
Many well known methods for seeking the extremum had been developed on the basis of quadratic approximation.
openaire   +2 more sources

High Health Care Utilization Preceding Diagnosis With Juvenile Idiopathic Arthritis

open access: yesArthritis Care &Research, EarlyView.
Objective Although early diagnosis improves long‐term outcomes, patients with juvenile idiopathic arthritis (JIA) often experience prolonged, circuitous paths to diagnosis. To inform diagnostic improvement, we sought to characterize health care utilization in the year preceding diagnosis. Methods We identified 10,021 patients with an incident diagnosis
Anna Costello   +5 more
wiley   +1 more source

The Effect of Tumor Markers ER, Her2, and Ki67 on Long-Term and Short-Term Survival of Women with Breast Cancer Using Bayesian Cure Model

open access: yesمجله دانشکده پزشکی اصفهان, 2019
Background: Breast cancer is the second leading cause of death from cancer among women, and many factors are involved in its creation. The purpose of this study was to evaluate the effect of tumor markers on the survival of women with this cancer using ...
Morteza Mohammadzadeh   +4 more
doaj   +1 more source

New Bayesian method for multiextremal optimization

open access: yesComputational Science and Techniques, 2020
This paper is focused on the Bayes approach to multiextremal optimization problems, based on modelling the objective function by Gaussian random field (GRF) and using the Euclidean distance matrices with fractional degrees for presenting GRF covariances.
Natalija Pozniak, Leonidas Sakalauskas
doaj   +1 more source

E-Bayesian Estimation for Rayleigh Model Using Progressive Type-II Censoring Data [PDF]

open access: yesJournal of Statistical Theory and Applications (JSTA), 2017
This article deals with using E-Bayesian method under progressively type-II censored sample from the Rayleigh distribution (RD) for computing the estimates of the parameter.
Rashad Mohamed EL-Sagheer
doaj   +1 more source

Trajectories of Physical Function in Canadian Children With Juvenile Idiopathic Arthritis

open access: yesArthritis Care &Research, EarlyView.
Objective We describe trajectories of physical function in children newly diagnosed with juvenile idiopathic arthritis (JIA) and identify trajectories with persisting functional impairments and associated baseline characteristics. Methods We included patients enrolled in the Canadian Alliance of Pediatric Rheumatology Investigators (CAPRI) Registry ...
Clare Cunningham   +81 more
wiley   +1 more source

Statistical inference for nonignorable missing-data problems: a selective review

open access: yesStatistical Theory and Related Fields, 2018
Nonignorable missing data are frequently encountered in various settings, such as economics, sociology and biomedicine. We review statistical inference for nonignorable missing-data problems, including estimation, influence analysis and model selection ...
Niansheng Tang, Yuanyuan Ju
doaj   +1 more source

Biopsychosocial Determinants of Hand Function and Its Trajectories Over Five Years in Patients With Hand Osteoarthritis

open access: yesArthritis Care &Research, EarlyView.
Objective This study aimed to investigate hand function trajectories over five years in primary hand osteoarthritis (OA). Additionally, determinants of baseline and longitudinal hand function were assessed. Methods A total of 538 patients with both baseline and five‐year study visits were analyzed.
Annemiek V. E. M. Olde Meule   +4 more
wiley   +1 more source

Bayesian network classifiers in Weka [PDF]

open access: yes, 2004
Various Bayesian network classifier learning algorithms are implemented in Weka [10].This note provides some user documentation and implementation details.
Remco R. Bouckaert, Bouckaert, Remco R.
core  

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