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Toplam kayıt 59, listelenen: 31-40
Steiner minimum yayılan ağaç probleminin çözümünde genetik algoritmanın kullanılması
(2006)
Genetik algoritmalar (GA) stokastik bir arama yöntemidir ve bu nedenle optimum ya da optimuma yakın çözümler verebilmektedir. GA son yıllarda gezgin satıcı problemi, karesel atama, yerleşim, atölye çizelgeleme, ders/sınav ...
Bandwidth Selection Problem for Nonparametric Regression Model with Right-Censored Data
(Natl Inst Statistics, 2017)
In this paper, the proposed estimator for the unknown nonparametric regression function is a Nadarya-Watson (Nadarya, 1964; Watson, 1964) type kernel estimator. In this estimation procedure, the censored observations are ...
Fuzzy panel data analysis
(University of Kuwait, 2021)
In statistical and econometric researches, three types of data are mostly used as cross-section, time series and panel data. Cross-section data are obtained by collecting the observations related to the same variables of ...
Smoothing parameter selection in semiparametric regression models with censored data
(Inst Advanced Science Extension, 2017)
In this paper, we introduce penalized spline estimators for the unknown function and a parameter vector in a semiparametric regression model with right censored data. In order to obtain this estimator accurately and ...
Right-Censored Nonparametric Regression: A Comparative Simulation Study
(Assoc Information Communication Technology Education & Science, 2016)
This paper introduces the operating of the selection criteria for right-censored nonparametric regression using smoothing spline. In order to transform the response variable into a variable that contains the right-censorship, ...
Forecasting TRY/USD Exchange Rate with Various Artificial Neural Network Models
(Assoc Information Communication Technology Education & Science, 2017)
Exchange rate forecasting is one of the most common subjects among the forecasting problem field. Researchers and academicians from many different disciplines proposed various approaches for better exchange rate forecasting. ...
MSstatsQC: Longitudinal System Suitability Monitoring and Quality Control for Targeted Proteomic Experiments
(Amer Soc Biochemistry Molecular Biology Inc, 2017)
Selected Reaction Monitoring (SRM) is a powerful tool for targeted detection and quantification of peptides in complex matrices. An important objective of SRM is to obtain peptide quantifications that are (1) suitable for ...
Kernel Ridge Estimator for the Partially Linear Model under Right-Censored Data
(IRANIAN STATISTICAL SOC, 2021)
Objective: This paper aims to introduce a modified kernel-type ridge estimator for partially linear models under randomly-right censored data. Such models include two main issues that need to be solved: multi-collinearity ...
Time Scale in Least Square Method
(Hindawi Ltd, 2014)
Study of dynamic equations in time scale is a new area in mathematics. Time scale tries to build a bridge between real numbers and integers. Two derivatives in time scale have been introduced and called as delta and nabla ...
Classification of Cancer Types by Cluster Analysis Methods
(Bahadır Fatih YILDIRIM, 2021)
Cluster analysis can be defined as the group of methods that aim to classify multivariate observations by using similarity/dissimilarity measures between observations. The clusters obtained as a result of the analysis are ...