Numerous classical distributions are used in the modeling of acquired data in engineering, actuarial, environmental and medical sciences, demography, economics, finance, insurance, biological studies, life analysis and ...

The joint distribution of categorical variables is summarized by the contingency table. The R × R dimensional contingency tables in which the variables are cross classified according to the same criteria with the number ...

In this study, some variance estimators in simple random sampling method have been investigated. These estimators have been proposed to use in the estimation of confidence intervals of the population mean in this study. ...

Varying Coefficient Models are used to reveal properties of multidimensional data among nonparametric regression models. Since these models allow the coefficients to change over the variable called the "index variable", ...

Since there are no theoretical constraints such as the model assumption and the number of observations, the importance of the preferred fuzzy time series instead of classical time series is day by day increasing in analysis ...

Spatial analysis is a method used to describe spatial patterns on a geographical region. During this analysis, the attributes and location information of the objects forming the spatial data are used. Response variable ...

Economic variables can have extreme values and in this case, these extreme values have a very strong impact on the mean. In such cases, using median and quantiles is more convenient instead of using mean. In literature, ...

In multiple linear regression analysis, the ridge and liu regression estimators are often used to solve the multicollinearity problem. In this thesis, Ridge, Liu methods and LASSO method, which is one of the most widely ...

Regression analysis is used to measure the relationship between a dependent variable and one or more explanatory variables. When the dependent variables consist of discrete non-negative values, the use of counting data ...

In this thesis study, using the ANOVA, Maximum Likelihood Estimation (ML), Restricted Maximum Likelihood Estimation (REML) and Minimum Norm Quadratic Estimation (MINQUE) methods, how to apply these estimates to the Measurement ...