Erişim şekli için "info:eu-repo/semantics/closedAccess" İstatistik Bölümü Koleksiyonu listeleme
Toplam kayıt 36, listelenen: 21-36
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Monitoring exponentially distributed time between events data: self-starting perspective
(TAYLOR & FRANCIS INC, 2021)Time between events (TBE) control charts have been widely used to monitor high yield processes. Traditionally, an estimated in-control occurrence rate from a Phase I dataset is used to calculate the control limits when the ... -
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 ... -
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 ... -
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 ... -
A new statistical early outbreak detection method for biosurveillance and performance comparisons
(Wiley, 2019)Biosurveillance for rapid detection of epidemics of diseases is a challenging area of endeavor in many respects. Hence, this area is in need of development of methodology and opens to novel methods of detection. In this ... -
Nonparametric regression estimates based on imputation techniques for right-censored data
(Springer Verlag, 2020)Censored data is a kind of data type where the exact value of a response variable is not completely known. Therefore, this case is a problem that should be solved in order to obtain an accurate and efficient data analysis. ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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. ...