Başlık için İstatistik Bölümü Koleksiyonu listeleme
Toplam kayıt 95, listelenen: 16-35
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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 ... -
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 ... -
Comparison of parametric and semi-parametric models with randomly right-censored data by weighted estimators: Two applications in colon cancer and hepatocellular carcinoma datasets
(SAGE Publications Inc., 2021)In this study, parametric and semi-parametric regression models are examined for random right censorship. The components of the aforementioned regression models are estimated with weights based on Cox and Kaplan-Meier ... -
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 ... -
The Comparison of Performances of Widely Used Cointegration Tests
(Taylor & Francis Inc, 2016)The aim of this study is to compare performances of commonly cointegration tests used in literature in terms of their empirical power and type I error probabilty for various sample sizes. As a result of the study, it has ... -
Consistency and Asymptotic Normality of Estimator for Parameters in Multiresponse Multipredictor Semiparametric Regression Model
(MDPI, 2022)A multiresponse multipredictor semiparametric regression (MMSR) model is a combination of parametric and nonparametric regressions models with more than one predictor and response variables where there is correlation between ... -
Criteria for Best Architecture Selection in Artificial Neural Networks
(World Scientific Publishing Co., 2022)Architecture selection in artificial neural networks is a critical process which determines a satisfactory neural network model(s) that will lead to the most accurate results. The architecture that minimizes the difference ... -
Determining confidence interval and asymptotic distribution for parameters of multiresponse semiparametric regression model using smoothing spline estimator
(Elsevier B.V., 2023)The multiresponse semiparametric regression (MSR) model is a regression model with more than two response variables that are mutually correlated, and its regression function is composed of parametric and nonparametric ... -
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 ... -
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 ... -
Editorial to the special issue: Recent statistical methods for data analysis, applied economics, business finance
(TAYLOR & FRANCIS LTD, 2021)The special issue ‘Recent Statistical Methods for Data Analysis, Applied Economics, Business Finance’ wasmainly established for participants who attended the ‘11th International StatisticsCongress’, held on 4–8October ... -
EFFECTS OF MAGNESIUM AND CALCIUM CATIONS ON BIOFILM FORMATION BY Sphingomonas paucimobilis FROM AN INDUSTRIAL ENVIRONMENT
(Parlar Scientific Publications (P S P), 2012)Bacterial biofilms may form on all surface-associated natural and many industrial environments. Biofilm formation requires particular notice due to its associated risks for human health and its impact on environmental ... -
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 ... -
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 ... -
Estimation of Right-censored SETAR-type Nonlinear Time-series Model
(EDP Sciences, 2023)This paper focuses on estimating the Self-Exciting Threshold Autoregressive (SETAR) type time-series model under right-censored data. As is known, the SETAR model is used when the underlying function of the relation-ship ... -
Estimation of semiparametric regression model with right-censored high-dimensional data
(Taylor & Francis Ltd, 2019)In this paper, we consider the estimation problem for the semiparametric regression model with censored data in which the number of explanatory variables p in the linear part is much larger than sample size n, often denoted ... -
Evaluating prophylactic heparin in ambulatory patients with solid tumours: a systematic review and individual participant data meta-analysis
(Elsevier Sci Ltd, 2020)Background Study-level meta-analyses provide high-certainty evidence that heparin reduces the risk of symptomatic venous thromboembolism for patients with cancer; however, whether the benefits and harms associated with ... -
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 ... -
Fire behavior prediction with artificial intelligence in thinned black pine (Pinus nigra Arnold) stand
(Elsevier B.V., 2023)Modeling forest fire behavior is very important for the effective control of forest fires and the setting up of necessary precautions before fires start. However, studies of forest fire behavior are complex studies that ... -
Forecasting COVID19 Reliability of the Countries by Using Non-Homogeneous Poisson Process Models
(Springer, 2022)Reliability is the probability that a system or a product fulfills its intended function without failure over a period of time and it is generally used to determine the reliability, release and testing stop time of the ...