The classic Shewhart control charts are generally used for monitoring the process mean and variability in the characteristics of a random quality variable of interest and are based on the normality assumptions. For skewed ...

Recurrent Neural Network is an artificial neural network model which the outputs are re-included to network input in every iteration. The biggest advantage of recurrent neural networks is that they consider the variation ...

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 ...

Turkey is a country rather than immigration. Especially after the Syrian crisis, approximately 3.5 million Syrian had to migrate to our country. Syrian immigrants in our country have started to live together with the Turkish ...

In the literature, a very important problem in deep neural networks is the determination of hyper-parameters. There are many combinations that can be tried for the selection of hyper-parameters to be used in data analysis. ...

Statistical significance tests, such as Student’s t test, ANOVA-F test, are widely used in many disciplines, including medicine, psychology, and biology. For these tests to exact control over the rate of a Type I error, ...