Başlık için İstatistik Bölümü Koleksiyonu listeleme
Toplam kayıt 95, listelenen: 78-95
-
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 ... -
Right-Censored Nonparametric Regression: A Comparative Simulation Study
(Assoc Information Communication Technology Education & Science, 2016)This paper introduces the operating of the selection criteria for right-censored nonparametric regression using smoothing spline. In order to transform the response variable into a variable that contains the right-censorship, ... -
Right-censored partially linear regression model with error in variables: application with carotid endarterectomy dataset
(WALTER DE GRUYTER GMBH, 2023)This paper considers a partially linear regression model relating a right-censored response variable to predictors and an extra covariate with measured error. The main problem here is that censorship and measurement error ... -
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 ... -
Semiparametric modeling of the right-censored time-series based on different censorship solution techniques
(Physica-Verlag Gmbh & Co, 2020)In this paper, we employ the penalized spline method to estimate the components of a right-censored semiparametric time-series regression model with autoregressive errors. Because of the censoring, the parameters of such ... -
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 ... -
Smoothing parameter selection in semiparametric regression models with censored data
(Inst Advanced Science Extension, 2017)In this paper, we introduce penalized spline estimators for the unknown function and a parameter vector in a semiparametric regression model with right censored data. In order to obtain this estimator accurately and ... -
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 ... -
A survey of smoothing techniques based on a backfitting algorithm in estimation of semiparametric additive models
(John Wiley and Sons Inc, 2022)This paper aims to present an overview of Semiparametric additive models. An estimation of the finite-parameters of semiparametric regression models that involve additive nonparametric components is explained, including ... -
Testicular involvement of Brucellosis: A 10-year, multicentre study
(2023)Introduction: The genito-urinary system is one of the most common areas of involvement in brucellosis. To present the epidemiological, clinical, and laboratory characteristics of patients with testicular involvement ... -
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 ... -
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 ... -
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 ... -
Time Series Modeling with Deep Neural Networks
(World Scientific Publishing Co., 2022)Deep neural networks are the latest among powerful artificial intelligence tools. As advanced forms of artificial neural networks, deep nets can be used in various fields and also time series forecasting. Time series ... -
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 ... -
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 ... -
Using machine learning algorithms to identify predictors of social vulnerability in the event of a hazard: Istanbul case study
(COPERNICUS GESELLSCHAFT MBH, 2023)What extent an individual or group will be affected by the damage of a hazard depends not just on their exposure to the event but on their social vulnerability - that is, how well they are able to anticipate, cope with, ... -
Validation of a blood gas device for ionized calcium analysis in Holstein cows
(American Society for Veterinary Clinical Pathology, 2023)Background: Accurate analysis of ionized calcium (iCa) is critical for the detection of hypocalcemia or subclinical hypocalcemia. The Edan i15 Vet (EDAN) blood gas device has not been validated for iCa in dairy cows. ...
