BACKGROUND AND OBJECTIVES Gastric cancer is one of the most common cancers in the world. The aim of this study was to evaluate prognostic factors using Bayesian interval censoring analysis. METHODS This is a historical cohort study of 178 patients from February 2003 through January 2008, admitted with gastric cancer to one referral hospital in Tehran. Age at diagnosis, sex, histology type, tu...

introduction: the diagnosis of symptoms and the estimation of cancer risk in individuals are of great interest for research teams. several methods developed for estimation of the risk of cancer in the individuals exposed to risk. because of its capability to illustrate the correlation between genotype and phenotype, the kin-cohort method has become a method of choice for many researchers. this ...

In this research we investigate how the Weibull distribution is suited as an alternative to common approaches in the stochastic modeling of machine downtimes and times between failures. We present an algorithm that automatically calculates Weibull parameters from machine data based on the SEMI E10 standard. We also discuss the question whether sampling shop-floor data should not only include fi...

Predictive Microbiology (PM) deals with the mathematical modeling of microorganisms in foods for different applications (challenge test, evaluation of microbiological shelf life, prediction of the microbiological hazards connected with foods, etc.). An interesting and important part of PM focuses on the use of primary functions to fit data of death kinetics of spoilage, pathogenic, and useful m...

the application time of weed control methods due to population dynamics of this species is one of the most important aspects of weed management. in this study tried to use four sigmoidal functions (logistic, gompertz, richards and weibull) and to select the best fit by using r2adj , rmse and aicc. our results showed that the seedling models of every weed are different from one another and the m...

The clutter is always present in the radar signal, so it is important to generate models that give us the possibility to minimize its effect in the detection of targets in a radar space. In that way, it is focused this paper, where, we try to propose a model that generates discrete time coherent sequences with a Weibull distribution for its modulus and a Uniform distribution for its phase. The ...

Fatigue failures caused by cyclic stresses are commonly modeled by Birnbaum-Saunders (B-S) and Weibull distributions. Sometimes, materials with high cycle fatigue exhibit bimodal failure rates which are difficult to model with Weibull distribution. The objective of this paper is to investigate a general Birnbaum-Saunders (GB-S) distribution which covers diverse hazard rates such as increasing, ...