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Toplam kayıt 79, listelenen: 11-20
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 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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
Performance of maximum EWMA control chart in the presence of measurement error using auxiliary information
(Taylor & Francis Inc, 2020)
EWMA and Max-EWMA charts are considered efficient for individual as well as joint monitoring of mean and variance shifts in the production process. However, measurement error is affecting the efficiency of these charts. ...
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 ...
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 ...