Erişim şekli için "info:eu-repo/semantics/openAccess" İstatistik Bölümü Koleksiyonu listeleme
Toplam kayıt 59, listelenen: 1-20
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Adaptive kernel density estimation with generalized least square cross-validation
(Hacettepe Univ, Fac Sci, 2019)Adaptive kernel density estimator is an efficient estimator when the density to be estimated has long tail or multi-mode. They use varying bandwidths at each observation point by adapting a fixed bandwidth for data. It is ... -
Adaptive Weighted Performance Criterion for Artificial Neural Networks
(Ieee, 2018)Extended Weighted Performance Criterion (EWPC) which is motivated from Weighted Information Criterion (WIC) has been shown promising results in previous study and results of the application showed that EWPC is capable of ... -
An adjustment degree of fitting on fuzzy linear regression model toward manufacturing income
(Institute of Advanced Engineering and Science, 2023)The regression analysis is a common tool in data analysis, while fuzzy regression can be used to analyze uncertain or imprecise data. Manufacturing companies often having difficulty predicting their future income. Thus, a ... -
Analysis of the Relations Between Forestry Financial Supports and Forest Crimes
(PMC, 2022)Forest crimes are among the serious threats destroying forests. To prevent the forest crimes there are various solutions proposed, such as fortification of the laws, increasing the penalties, or increasing the public ... -
Analyzing the Validity of Selective Mutation with Dominator Mutants
(Assoc Computing Machinery, 2016)Various forms of selective mutation testing have long been accepted as valid approximations to full mutation testing. This paper presents counterevidence to traditional selective mutation. The recent development of dominator ... -
Bandwidth Selection Problem for Nonparametric Regression Model with Right-Censored Data
(Natl Inst Statistics, 2017)In this paper, the proposed estimator for the unknown nonparametric regression function is a Nadarya-Watson (Nadarya, 1964; Watson, 1964) type kernel estimator. In this estimation procedure, the censored observations are ... -
Censored Nonparametric Time-Series Analysis with Autoregressive Error Models
(Springer, 2020)This paper focuses on nonparametric regression modeling of time-series observations with data irregularities, such as censoring due to a cutoff value. In general, researchers do not prefer to put up with censored cases in ... -
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 ... -
Clustering of football players based on performance data and aggregated clustering validity indexes
(WALTER DE GRUYTER GMBH, 2023)We analyse football (soccer) player performance data with mixed type variables from the 2014-15 season of eight European major leagues. We cluster these data based on a tailor-made dissimilarity measure. In order to decide ... -
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, ... -
A comparison between the Bayesian network model and the logistic regression model in prevention of the defects on ceramic tiles
(Taylor and Francis Ltd., 2022)One of the most important problems encountered in ceramic tile industry is defective product problem. Defective ceramics lead to loss of income and waste of resources in enterprises. However, it is generally unknown that ... -
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 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 ... -
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 ... -
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 ...