Results 81 to 90 of about 1,818,807 (197)
Bayesian reference prior analysis for polynomial calibration models
Clearance circle bioassay, inverse prediction, Noninformative prior, polynomial regression, 62F15, 62F25, 62J05, 62P10,
Keying Ye, Daniel Eno
core +1 more source
Noninformative priors in Bayesian analysis
The reference priors, introduced by Bernardo (1979) and as further developed in Berger and Bernardo (1989a,b,c), are studied in several situations. These include nonlinear regression, sequential problems, and the unbalanced variance components problem ...
Ye, Keying
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This study focuses on modeling and predicting extreme rainfall based on data from the Southern Highlands region, the critical for rain-fed agriculture in Tanzania.
Erick A. Kyojo +3 more
doaj +1 more source
Bayesian Joint Modeling of Longitudinal and Survival Time Measurement of Hypertension Patients
Markos Abiso Erango College of Natural Science, Department of Statistics, Arba Minch University, Arba Minch, EthiopiaCorrespondence: Markos Abiso Erango Email markos.erango73@gmail.comBackground: High blood pressure is a health risk for all populations ...
Erango MA
doaj
Bayes risk, channel capacity, Jeffreys' prior, Kullback-Leibler distance, minimax risk, noninformative prior, reference prior, Shannon optimal prior, statistical experiment,
Holger Scholl
core +1 more source
Probability matching priors: a review
First-order probability matching prior, Jeifreys’ prior, Noninformative prior, Posterior quantile, Reference prior, Second-order probability matching prior,
Catia Scricciolo
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Reference Priors For Non-Normal Two-Sample Problems [PDF]
The reference prior algorithm (Berger and Bernardo, 1992) is applied to locationscale models with any regular sampling density. A number of two-sample problems is analyzed in this general context, extending the dierence, ratio and product of Normal means
Steel, M.F.J., Fernández, C.
core
Background Clinical effectiveness of high-flow nasal therapy (HFNT) over conventional oxygen therapy (COT) in patients with mild COVID-19-related acute hypoxaemic respiratory failure (AHRF) remains uncertain.
Claudia Crimi +21 more
doaj +1 more source
Simulasi Pengaruh Data Berkorelasi Menggunakan Pendekatan Bayes Dengan Noninformative Prior
Masalah multikolinieritas sering timbul dalam pendugaan model kalibrasi peubah ganda. Metode pendugaan parameter dengan metode kuadrat terkecil kurang tepat digunakan jika terjadi masalah multikolinieritas.
Kurniasari, Dwi Putri +2 more
core

