In the first part of the thesis, although it is a multivariate statistical method, Independent Components Analysis which is mostly used in the engineering field, which is not known much in statistics, has been discussed ...

In this study, we investigated estimators with exponential functions for estimation of mean estimator in simple and stratified random samplings. Family of estimators based on the exponential function is proposed for both ...

Association models include score parameters to multiplicatively represent the hierarchy between the levels of the considered ordinal factor. If order restrictions are placed on the scores, an estimation problem becomes a ...

Bu kitap H.Ü. İstatistik Bölümü' nde "Benzetim Teknikleri" adlı derse Türkçe kaynak oluşturmak amacı ile yazıldı. Bununla birlikte, kitabın işletme, iktisat ve endüstri mühendisliği bölümlerinde okuyan öğrencilere de yararlı ...

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 ...

In this study, the use of fuzzy expert system in Monte Carlo method, which is used for estimating fuzzy linear regression model parameters, is proposed for determining the parameter intervals for the first time.For this ...

Purpose To compare the efficacy of low-fluence photodynamic therapy (PDT) and PDT with half-dose verteporfin in chronic central serous chorioretinopathy (CSC). Patients and methods The medical records of 64 eyes from 60 ...

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", ...

Support Vector Machines were introduced by Vladamir Vapnik in 1995 as a new-generation technique, learning from training set which is high-dimensional and whose sample size is much small, by creating and solving a quadratic ...