A BAYESIAN META-ANALYSIS OF HETEROGENEOUS COPD CONDITIONS OVER TIME

The Global Initiative for Chronic Obstructive Lung Disease (GOLD) has introduced a novel multidimensional approach to assess and manage chronic obstructive pulmonary disease (COPD) patients. This approach combines patient-perceived disease impact, airflow limitation severity, and symptom severity, categorizing COPD patients into four groups (A: few symptoms, better lung function; B: more

Authors: Dr. Hiroshi Tanaka
Pages: 25-35
EFFICIENT ALLOCATION OF RELIABILITY FOR COMPLEX SYSTEMS

Optimal reliability allocation is a critical problem with applications in various fields, from engineering to software and system design. This mathematical problem involves assigning reliability values to subsystems and elements within a system, considering factors like complexity, criticality, cost, and achievable reliability. The goal is to achieve a target reliability level while

Authors: Dr. Maria Popescu, Dr. Ahmed Hassan , Dr. Elena Dumitrescu
Pages: 36-45
BAYESIAN APPROACH TO MULTICOLLINEARITY IN SPONTANEOUS ABORTION STUDIES

Spontaneous abortion, a natural process in response to fetal abnormalities or disease, accounts for a significant percentage of pregnancies, especially during the first trimester. Various biological, social, and economic factors influence the occurrence of spontaneous abortion. This study employs the Tobit model to analyze data related to this phenomenon, consisting of both censored cases

Authors: Dr. Elena Popescu
Pages: 14-24
STATISTICAL MODELS FOR FORECASTING DAILY TEMPERATURE EXTREMES IN BANGKOK

In a world where climate change is accelerating due to human activities, understanding and predicting temperature variations have become critical. This study focuses on Bangkok, the bustling capital of Thailand, where economic activities and population density are high. Fluctuations in temperature are influenced by various factors, including greenhouse gas emissions, solar radiation,

Authors: Dr. Somchai Prasert , Prof. Siriluk Srisai
Pages: 46-51
OPTIMIZATION TECHNIQUES FOR NON-DIFFERENTIABLE CONVEX FUNCTIONS IN HIGH-DIMENSIONAL SPACES

In this study, we address the optimization of convex functions in N-dimensional spaces, a problem with widespread applications in various fields. Convex functions exhibit unique characteristics, such as having a single minimum value X* when they possess a finite minimum and the gradient vanishing at X* when the function is both differentiable and strictly convex.


To

Authors: Chinedu Nwankwo Eze , Ifeoma Chukwu Okonkwo
Pages: 1-13