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Toplam kayıt 9, listelenen: 1-9
Optimum shrinkage parameter selection for ridge type estimator of Tobit model
(Taylor and Francis Ltd., 2020)
This paper presents different ridge type estimators based on maximum likelihood ((Formula presented.)) for parameters of a Tobit model. In this context, an algorithm is introduced to get the estimators based on (Formula ...
Kurumsal Karne Gelişiminde Stratejik Yönetimi Etkinleştirme
(2007)
Son zamanlarda yönetim alanında gerçekleştirilen bilimsel çalışmalar örgüt sürekliliğinin anahtar faktörü olarak, örgütün potansiyel stratejisinin değişime adaptasyonunu ve stratejinin örgüt ortamına etkin bir şekilde ...
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 ...
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 ...
A Hybrid Time Series Prediction Model Based on Fuzzy Time Series and Maximal Overlap Discrete Wavelet Transform
(Gazi Universitesi, 2022)
This study proposes a new time series prediction method that combines Fuzzy Time Series (FTS) based on fuzzy clustering and Maximal Overlap Discrete Wavelet Transform (MODWT). Time series generally consist of subseries, ...
Comparison of Different Count Models for Investigation of Some Environmental Factors Affecting Stillbirth in Holsteins
(Agricultural Research Communication Centre, 2022)
Background: The objective of this study is comparing different count data models for stillbirth data. In modeling this type of data, Poisson regression or alternative models can be preferred. Methods: The poisson, negative ...
Investigating the COVID19 Characteristics of the Countries Based on Time Series Clustering
(Sivas Cumhuriyet Üniversitesi, 2022)
The objective of this study is to reveal the COVID19 characteristics of the countries by using time series clustering. Up to now, various studies have been conducted for similar objectives. But, it has been observed that ...
Investigation of Stillbirth Rate Using Logistic Regression Analysis in Holstein Friesian Calves
(Ege Universitesi, 2023)
Logistic relationship regression of independent analysis is variable(s) amethod with to determine dependent the variable, reason-result which has binary or multiple categorical structures. In this study, sex of calf, parity ...