Güncel Gönderiler: İstatistik Bölümü Koleksiyonu
Toplam kayıt 95, listelenen: 61-80
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A New Estimation Method Based on Order Statistics in the Families of Symmetric Location-scale Distributions
(Taylor & Francis Inc, 2016)In this study, new unbiased and nonlinear estimators based on order statistics are proposed for the family of symmetric location-scale distributions and these estimators can be computed from both uncensored and symmetric ... -
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 ... -
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 ... -
The regional prediction model of PM10 concentrations for Turkey
(Elsevier Science Inc, 2016)This study is aimed to predict a regional model for weekly PM10 concentrations measured air pollution monitoring stations in Turkey. There are seven geographical regions in Turkey and numerous monitoring stations at each ... -
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, ... -
Revealing information and equipment redundancies in air pollution monitoring networks in Turkey
(Springer, 2016)Air pollution monitoring networks are the primary tools for measuring, managing and assessing air quality. However, these networks need considerable financial resources due to expensive devices and analyses, as well as ... -
New estimators based on order statistics in some families of scale distributions
(Taylor & Francis Inc, 2017)In this study some new unbiased estimators based on order statistics are proposed for the scale parameter in some family of scale distributions. These new estimators are suitable for the cases of complete (uncensored) and ... -
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 ... -
Forecasting TRY/USD Exchange Rate with Various Artificial Neural Network Models
(Assoc Information Communication Technology Education & Science, 2017)Exchange rate forecasting is one of the most common subjects among the forecasting problem field. Researchers and academicians from many different disciplines proposed various approaches for better exchange rate forecasting. ... -
Path analysis and determining the distribution of indirect effects via simulation
(Taylor & Francis Ltd, 2017)The difference between a path analysis and the other multivariate analyses is that the path analysis has the ability to compute the indirect effects apart from the direct effects. The aim of this study is to investigate ... -
MSstatsQC: Longitudinal System Suitability Monitoring and Quality Control for Targeted Proteomic Experiments
(Amer Soc Biochemistry Molecular Biology Inc, 2017)Selected Reaction Monitoring (SRM) is a powerful tool for targeted detection and quantification of peptides in complex matrices. An important objective of SRM is to obtain peptide quantifications that are (1) suitable for ... -
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 ... -
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 ... -
A new fuzzy time series model based on robust clustering for forecasting of air pollution
(Elsevier Science Bv, 2018)In this study, a new Fuzzy Time Series (FTS) model based on the Fuzzy K-Medoid (FKM) clustering algorithm is proposed in order to forecast air pollution. FTS models generally have some advantages when compared with other ... -
Modified estimators in semiparametric regression models with right-censored data
(Taylor & Francis Ltd, 2018)In this work we introduce different modified estimators for the vector parameter and an unknown regression function g in semiparametric regression models when censored response observations are replaced with synthetic data ... -
Modified spline regression based on randomly right-censored data: A comparative study
(Taylor & Francis Inc, 2018)In this paper, we propose modified spline estimators for nonparametric regression models with right-censored data, especially when the censored response observations are converted to synthetic data. Efficient implementation ... -
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 ... -
A New Fuzzy Time Series Model Based on Fuzzy C-Regression Model
(Springer, 2018)This study proposes a new fuzzy time series model based on Fuzzy C-Regression Model clustering algorithm (FCRMF). There are two major superiorities of FCRMF in comparison with existing fuzzy time series model based on fuzzy ... -
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 ... -
MSstatsQC 2.0: R/Bioconductor Package for Statistical Quality Control of Mass Spectrometry-Based Proteomics Experiments
(Amer Chemical Soc, 2019)MSstatsQC is an R/Bioconductor package for statistical monitoring of longitudinal system suitability and quality control in mass spectrometry-based proteomics. MSstatsQC was initially designed for targeted selected reaction ...
