Güncel Gönderiler: İstatistik Bölümü Koleksiyonu
Toplam kayıt 95, listelenen: 21-40
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Reproducing Kernel Hilbert Space Approach to Multiresponse Smoothing Spline Regression Function
(MDPI, 2022)In statistical analyses, especially those using a multiresponse regression model approach, a mathematical model that describes a functional relationship between more than one response variables and one or more predictor ... -
Investigating the COVID19 Characteristics of the Countries Based on Time Series Clustering
(Sivas Cumhuriyet Üniversitesi, 2022)The objective of this study is to reveal the COVID19 characteristics of the countries by using time series clustering. Up to now, various studies have been conducted for similar objectives. But, it has been observed 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 ... -
A Hybrid Time Series Prediction Model Based on Fuzzy Time Series and Maximal Overlap Discrete Wavelet Transform
(Gazi Universitesi, 2022)This study proposes a new time series prediction method that combines Fuzzy Time Series (FTS) based on fuzzy clustering and Maximal Overlap Discrete Wavelet Transform (MODWT). Time series generally consist of subseries, ... -
Performance of function-based AEWMA coefficient of variation control chart with measurement errors
(TAYLOR & FRANCIS INC, 2022)A new coefficient of variation (CV) functionally adaptive exponentially weighted moving average control chart is presented by considering the influence of the measurement error (ME) and named the "FAEWMA-ME-CV" control ... -
Mapping the forest fire risk zones using artificial intelligence with risk factors data
(SPRINGER HEIDELBERG, 2022)Geographical information system data has been used in forest fire risk zone mapping studies commonly. However, forest fires are caused by many factors, which cannot be explained only by geographical and meteorological ... -
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 ... -
Semiparametric Time-Series Model Using Local Polynomial: An Application on the Effects of Financial Risk Factors on Crop Yield
(MDPI, 2022)This paper proposes a semiparametric local polynomial estimator for modelling agricultural time-series. We consider the modelling of the crop yield variable according to determined financial risk factors in Turkey. The ... -
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 ... -
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 ... -
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 ... -
Right-Censored Time Series Modeling by Modified Semi-Parametric A-Spline Estimator
(MDPI, 2021)This paper focuses on the adaptive spline (A-spline) fitting of the semiparametric regression model to time series data with right-censored observations. Typically, there are two main problems that need to be solved in ... -
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 ... -
Kernel Ridge Estimator for the Partially Linear Model under Right-Censored Data
(IRANIAN STATISTICAL SOC, 2021)Objective: This paper aims to introduce a modified kernel-type ridge estimator for partially linear models under randomly-right censored data. Such models include two main issues that need to be solved: multi-collinearity ... -
Rational (Pade) approximation for estimating the components of the partially-linear regression model
(Taylor & Francis Inc., 2021)This paper proposes a new smoothing technique based on rational function approximation using truncated total least squares (P - TTLS) and compares it with the widely used smoothing spline method, which has become a very ... -
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 ... -
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 ... -
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 ... -
Preface
(TAYLOR & FRANCIS INC, 2021)We are pleased that the Eleventh International Statistics Days Conference (ISDC) was a great success.
