Fisher's z Distribution-Based Mixture Autoregressive Model
We generalize the Gaussian Mixture Autoregressive (GMAR) model to the Fisher'sz Mixture
Autoregressive (ZMAR) model for modeling nonlinear time series. The model consists of a …
Autoregressive (ZMAR) model for modeling nonlinear time series. The model consists of a …
Comparative study of brain tumor segmentation using different segmentation techniques in handling noise
Image segmentation has been popularly performed for researchers in the field of
Biomedical, Informatics Engineering, and Statistical Computation. This study tries to …
Biomedical, Informatics Engineering, and Statistical Computation. This study tries to …
On the Flexible Neo-Normal MSAR MSN-Burr Control Chart in Air Quality Monitoring
Air quality significantly influences human health and the environment, necessitating a robust
monitoring to detect abnormalities. This paper aims to develop a new model to accurately …
monitoring to detect abnormalities. This paper aims to develop a new model to accurately …
[图书][B] Analisis Bayesian: Teori dan Aplikasi dengan R
Analisis Bayesian, Teori dan Aplikasinya dengan R membahas tentang konsep dan
beberapa teknik analisis Bayesian untuk menyelesaikan kasus/data yang pada single atau …
beberapa teknik analisis Bayesian untuk menyelesaikan kasus/data yang pada single atau …
[HTML][HTML] A Markov Switching Autoregressive Model with Time-Varying Parameters
This study showcased the Markov switching autoregressive model with time-varying
parameters (MSAR-TVP) for modeling nonlinear time series with structural changes. This …
parameters (MSAR-TVP) for modeling nonlinear time series with structural changes. This …
A Bayesian neo-normal mixture model (nenomimo) for MRI-Based brain tumor segmentation
The detection of a brain tumor through magnetic resonance imaging (MRI) is still
challenging when the image is in low quality. Image segmentation could be done to provide …
challenging when the image is in low quality. Image segmentation could be done to provide …
Small area estimation pengeluaran per kapita di kabupaten bangkalan dengan metode hierarchical bayes
AMA Satriya, N Iriawan - Jurnal Statistika Universitas …, 2015 - jurnal.unimus.ac.id
Penelitian ini mengkaji tentang Hierarchical Bayes (HB) yang diaplikasikan pada Small
Area Estimation (SAE) dengan tujuan mengestimasi pengeluaran per kapita di Kabupaten …
Area Estimation (SAE) dengan tujuan mengestimasi pengeluaran per kapita di Kabupaten …
MSEPBurr Distribution: Properties and Parameter Estimation
MSNBurr and MSTBurr distribution have been developed as Neo-Normal distributions that
represent a relaxation of normality. The difference between them is that the MSTBurr’ s …
represent a relaxation of normality. The difference between them is that the MSTBurr’ s …
[PDF][PDF] MRI-Based Brain Tumor Segmentation using Modified Stable Student's t from Burr Mixture Model with Bayesian Approach
AP Pravitasari, N Iriawan, MAI Safa… - Malaysian Journal of …, 2019 - mjms.upm.edu.my
ABSTRACT Finite Mixture Models have been developed for brain tumor image
segmentation using the Magnetic Resonance Imaging (MRI) as a media. The goal is to …
segmentation using the Magnetic Resonance Imaging (MRI) as a media. The goal is to …
Bayesian mixture model averaging for identifying the different gene expressions of chickpea (Cicer arietinum) plant tissue
Identification of different gene expressions of chickpea (Cicer arietinum) plant tissue is
needed in order to develop new varieties of chickpea plant which is resistant to disease …
needed in order to develop new varieties of chickpea plant which is resistant to disease …