Results 21 to 30 of about 297,937 (262)

GAMBARAN DENSITAS TULANG ALVEOLAR KERANGKA MANUSIA PAWON MENGGUNAKAN RADIOGRAF CBCT 3D

open access: yesPubawidya: Jurnal Penelitian dan Pengembangan Arkeologi, 2019
Density of alveolar bone in Pawon Man can describe the life or behavior in the past asdiet and culture. The aim of this study is to determine dietary habit through the density of alveolar bone of Pawon man using radiograph CBCT 3D. This research’s method
Moch Iqbal Fauzan
doaj   +1 more source

Measuring the dispersion of rainfall using Bayesian confidence intervals for coefficient of variation of delta-lognormal distribution: a study from Thailand [PDF]

open access: yesPeerJ, 2019
Since rainfall data series often contain zero values and thus follow a delta-lognormal distribution, the coefficient of variation is often used to illustrate the dispersion of rainfall in a number of areas and so is an important tool in statistical ...
Noppadon Yosboonruang   +2 more
doaj   +2 more sources

Bayesian Estimation of the Size of a Population [PDF]

open access: yes, 2006
We consider the following problem: estimate the size of a population marked with serial numbers after only a sample of the serial numbers has been observed.
Held, Leonhard, Höhle, Michael
core   +2 more sources

Clinical assessment of bone quality at implant site using CBCT and hounsfield unit

open access: yesJournal of Pharmacy and Bioallied Sciences, 2023
Objectives: The current research was done to assess the bone quality at implant site using CBCT. Materials and Methods: The present study was conducted on 50 partially edentulous patients of both genders.
Nidhi Singh   +6 more
doaj   +1 more source

A Posterior Density for the Difference Between Two Binominal Proportions and the Highest Posterior Density Credible Interval

open access: yesJOURNAL OF THE JAPAN STATISTICAL SOCIETY, 2010
The statistical inference concerning the difference between two independent binominal proportions has often been discussed in medical and statistical literature. This discussion is far more often based on the frequency theory of statistical inference than on the Bayesian theory.
Youhei Kawasaki, Etsuo Miyaoka
openaire   +2 more sources

Continuous record Laplace-based inference about the break date in structural change models [PDF]

open access: yes, 2019
Building upon the continuous record asymptotic framework recently introduced by Casini and Perron (2018a) for inference in structural change models, we propose a Laplace-based (Quasi-Bayes) procedure for the construction of the estimate and confidence ...
Casini, Alessandro, Perron, Pierre
core   +2 more sources

Characterization of regional variation of bone mineral density in the geriatric human cervical spine by quantitative computed tomography.

open access: yesPLoS ONE, 2022
BackgroundOdontoid process fractures are among the most common in elderly cervical spines. Their treatment often requires fixation, which may include use of implants anteriorly or posteriorly.
Ryan S Garay   +7 more
doaj   +1 more source

A Flexible Bathtub-Shaped Failure Time Model: Properties and Associated Inference

open access: yesStatistica, 2021
In this study, we introduce an extended version of the modified Weibull distribution with an additional shape parameter, in order to provide more flexibility to its density and the hazard rate function. The distribution is capable of modeling the bathtub-
Neha Choudhary   +2 more
doaj   +1 more source

Polymer characteristics and mechanical properties of bulk-fill, giomer, fiber-reinforced and low-shrinkage composites [PDF]

open access: yesSrpski Arhiv za Celokupno Lekarstvo, 2022
Introduction/Objective. The objective was to determine the degree of conversion (DC), cross-link density, percentage of leachable monomers, flexural strength (FS), and hardness (HV) of nanohybrid, nanofilled bulk-fill, giomer, fiber-reinforced, and low ...
Perić Dejan   +3 more
doaj   +1 more source

Simultaneous probability statements for Bayesian P-splines [PDF]

open access: yes, 2005
P-splines are a popular approach for fitting nonlinear effects of continuous covariates in semiparametric regression models. Recently, a Bayesian version for P-splines has been developed on the basis of Markov chain Monte Carlo simulation techniques for
Brezger, Andreas, Lang, S.
core   +2 more sources

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