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Toplam kayıt 87, listelenen: 31-40
Comparing clusterings and numbers of clusters by aggregation of calibrated clustering validity indexes
(Springer, 2020)
A key issue in cluster analysis is the choice of an appropriate clustering method and the determination of the best number of clusters. Different clusterings are optimal on the same data set according to different criteria, ...
Usage of Different Prior Distributions in Bayesian Vector Autoregressive Models
(Hacettepe Univ, Fac Sci, 2009)
In Bayesian vector autoregressive models, the Litterman or Minnesota Prior is widely used. However, in some cases, the Minnesota prior is not the best prior distribution that can be used. Thus, other prior distributions ...
Testing Binary Parametric Models Against their Semiparametric Alternatives Using Commands Written in Version 4.8 of the XploRe Package
(Hacettepe Univ, Fac Sci, 2009)
The aim of this study is to introduce the commands we wrote for testing the parametric logit and probit models against their semiparametric alternatives in the windows based version 4.8 of the XploRe package, and to show ...
ON THE ADAPTIVE NADARAYA-WATSON KERNEL REGRESSION ESTIMATORS
(Hacettepe Univ, Fac Sci, 2010)
Nonparametric kernel estimators are widely used in many research areas of statistics. An important nonparametric kernel estimator of a regression function is the Nadaraya-Watson kernel regression estimator which is often ...
ON THE PERFORMANCE OF THE SEMIPARAMETRIC BINARY RESPONSE MODEL WHEN THE TRUE MODEL IS PARAMETRIC LOGISTIC
(Hacettepe Univ, Fac Sci, 2010)
In this article, a simulation study is performed to reveal the deviations of the semiparametric binary response model from its parametric counterpart, based on various scenarios including different sample sizes, different ...
Are most proposed ridge parameter estimators skewed and do they have any effect on MSE values?
(Taylor and Francis Ltd., 2021)
Multicollinearity is a common problem in multiple regression that occurs whenever two or more explanatory variables are highly correlated. When multicollinearity exists, the method of Ordinary Least
Square (OLS) is likely ...
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 ...
Determining the Flat Sales Prices by Flat Characteristics Using Bayesian Network Models
(Springer, 2021)
There are various factors affecting flat sales prices. Various characteristics of a flat play an important role in determining its sales price. In this study, a machine learning based Bayesian network was built by a ...
Truncation level selection in nonparametric regression using Padé approximation
(Taylor and Francis Inc., 2019)
This paper introduces a Padé-type approximation for an unknown regression function in a nonparametric regression model. This newly introduced approximation provides a linear model with multi-collinearities and errors in ...