Yayın tarihi için İstatistik Bölümü Koleksiyonu listeleme
Toplam kayıt 95, listelenen: 41-60
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The Khorana score for prediction of venous thromboembolism in cancer patients: An individual patient data meta-analysis
(Wiley, 2020)Background Oncology guidelines suggest using the Khorana score to select ambulatory cancer patients receiving chemotherapy for primary venous thromboembolism (VTE) prevention, but its performance in different cancers remains ... -
Estimating the Nonparametric Regression Function by Using Pade Approximation Based on Total Least Squares
(Taylor & Francis Inc, 2020)In this paper, we propose a Pade-type approximation based on truncated total least squares (P - TTLS) and compare it with three commonly used smoothing methods: Penalized spline, Kernel smoothing and smoothing spline methods ... -
Ridge-type pretest and shrinkage estimations in partially linear models
(Springer, 2020)In this paper, we suggest pretest and shrinkage ridge regression estimators for a partially linear regression model, and compare their performance with some penalty estimators. We investigate the asymptotic properties of ... -
Performance of maximum EWMA control chart in the presence of measurement error using auxiliary information
(Taylor & Francis Inc, 2020)EWMA and Max-EWMA charts are considered efficient for individual as well as joint monitoring of mean and variance shifts in the production process. However, measurement error is affecting the efficiency of these charts. ... -
Comparison of partial least squares with other prediction methods via generated data
(Taylor & Francis Ltd, 2020)The purpose of this study is to compare the Partial Least Squares (PLS), Ridge Regression (RR) and Principal Components Regression (PCR) methods, used to fit regressors with severe multicollinearity against a dependent ... -
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 ... -
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 ... -
A new robust ridge parameter estimator based on search method for linear regression model
(Taylor & Francis Ltd, 2020)A large and wide variety of ridge parameter estimators proposed for linear regression models exist in the literature. Actually proposing new ridge parameter estimator lately proving its efficiency on few cases seems endless. ... -
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, ... -
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 ... -
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 ... -
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 ... -
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 ... -
Preface
(TAYLOR & FRANCIS INC, 2021)We are pleased that the Eleventh International Statistics Days Conference (ISDC) was a great success. -
Choice of smoothing parameter for kernel type ridge estimators in semiparametric regression models
(National Statistical Institute, 2021)This paper concerns kernel-type ridge estimators of parameters in a semiparametric model. These estimators are a generalization of the well-known Speckman’s approach based on kernel smoothing method. The most important ... -
Dynamic panel fuzzy time series model and its application to econometric time series
(Elsevier, 2021)This study proposes a new Fuzzy Time Series (FTS) approach, called as Dynamic Panel Fuzzy Time Series (DPFTS) which combines Dynamic Panel Data Analysis and FTS. The major advantages of proposed approach can be summarized ... -
A time series analysis for sales of chicken based food product
(American Institute of Physics, 2021)This study provides a time series analysis and interpretation of the output for forecast sales of chicken based food product of weekly sales data. These data were collected directly from the outlet shop of one factory in ... -
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 ...