Weibull distributions are one of the most popular continuous distributions used in survival analysis for modeling error / failure times such as deterioration and wear, early death. Nowadays, this distribution is used to ...

In today's software world, besides increasing the expectation of quality software, planning of software testing activities and efficient use of resources is gaining importance due to constraints of qualified personnel, ...

In today's economic conditions, states must cooperate with the private sector in economic situations where it is not possible for them to offer public services. At this point where states and private sector meet, the ...

Repeated measures data describe multiple measurements taken from the same experimental unit under different treatment conditions. In particular, researches with repeated measures data in various fields such as health and ...

Electricity, known as static electricity from ancient times to 1880’s, take a indispensable place in human life especially down from it had been used as a lightening purpose. At the present time, there isn’ t any substitute ...

In this study, how to estimate the variance components of the linear mixed model with robust estimators is explained and an application is made on a real dataset. For this purpose, firstly, estimation methods of fixed, ...

Emergence of DNA microarray datasets started up a crucial research subject for both bioinformatics and machine learning. This type of data is obtained from tissue or cell samples and used to collect information that may ...

The Cox regression model with the measurement error covariate can cause an important bias when estimating coefficients by maximizing the known partial likelihood function. In this case, alternative estimation methods have ...

In square contingency tables, analysis of agreement between the row and column classifications is of interest. For nominal categories, kappa coefficient is used to summarize the degree of agreement between two raters. For ...

Longitudinal data consist of repeated measurements obtained from the same units at certain time intervals, while survival data consists of time until the occurrence of any event under consideration. There are different ...