Güncel Gönderiler: İstatistik Bölümü Koleksiyonu
Toplam kayıt 95, listelenen: 41-60
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Monitoring exponentially distributed time between events data: self-starting perspective
(TAYLOR & FRANCIS INC, 2021)Time between events (TBE) control charts have been widely used to monitor high yield processes. Traditionally, an estimated in-control occurrence rate from a Phase I dataset is used to calculate the control limits when the ... -
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 ... -
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 ... -
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 ... -
Gıda sektöründe istatistiksel kalite kontrol grafiklerinin bir uygulaması
(2008)Kalite kontrol grafikleri süreç kontrolü ve iyileştirilmesinde önemli bir yere sahiptir. İşletmelerdeki ürünlerin kalite düzeylerinin araştırılması ve kalite değişimlerinin belirlenmesi için istatistiksel kalite kontrol ... -
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 ... -
Estimation in the Complementary Exponential Geometric Distribution Based on Progressive Type-II Censored Data
(Springer Science and Business Media Deutschland GmbH, 2020)Complementary exponential geometric distribution has many applications in survival and reliability analysis. Due to its importance, in this study, we are aiming to estimate the parameters of this model based on progressive ... -
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 ... -
Large-scale global optimization based on hybrid swarm intelligence algorithm
(IOS Press, 2020)There are numerous large-scale global optimization problems encountered in real-world applications including engineering, manufacturing, economics, networking fields. Over the last two decades different varieties of swarm ... -
Nonparametric regression estimates based on imputation techniques for right-censored data
(Springer Verlag, 2020)Censored data is a kind of data type where the exact value of a response variable is not completely known. Therefore, this case is a problem that should be solved in order to obtain an accurate and efficient data analysis. ... -
Imputation Method Based on Sliding Window for Right-Censored Data
(Springer, 2020)Censored data arise in almost all important statistical analyses. For example, in patient-based studies, biostatistics data often subject to right censoring due to the detection limits, or to incomplete data. In the context ... -
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 ... -
Prioritizing coverage-oriented testing process - An adaptive-learning-based approach and case study
(Ieee Computer Soc, 2007)This paper proposes a graph-model-based approach to prioritizing the test process. Tests are ranked according to their preference degrees which are determined indirectly, i.e., through classifying the events. To construct ... -
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 ... -
Event-Oriented, Model-Based GUI Testing and Reliability Assessment-Approach and Case Study
(Elsevier Academic Press Inc, 2012)It is widely accepted that graphical user interfaces (GUIs) highly affect-positive or negative-the quality and reliability of human-machine systems. However, quantitative assessment of the reliability of GUIs is a relatively ... -
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 ... -
Comparison of fuzzy logic based models for the multi-response surface problems with replicated response measures
(Elsevier, 2015)A replicated multi-response experiment is a process that includes more than one responses with replications. One of the main objectives in these experiments is to estimate the unknown relationship between responses and ...
