Yayın tarihi için İstatistik Bölümü Koleksiyonu listeleme
Toplam kayıt 95, listelenen: 21-40
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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 ... -
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 ... -
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. ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
Estimation of semiparametric regression model with right-censored high-dimensional data
(Taylor & Francis Ltd, 2019)In this paper, we consider the estimation problem for the semiparametric regression model with censored data in which the number of explanatory variables p in the linear part is much larger than sample size n, often denoted ... -
High-frequency protocorm-like bodies and shoot regeneration through a combination of thin cell layer and RITA((R)) temporary immersion bioreactor in Cattleya forbesii Lindl.
(Springer, 2019)An efficient in vitro mass propagation through protocorm-like bodies (PLBs) was established in Cattleya forbesii Lindl., a commercially important orchid. Whole PLBs (W-PLB) and transverse thin cell layers of PLB (tTCL-PLB) ... -
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 ... -
A Bayesian network model for prediction and analysis of possible forest fire causes
(Elsevier, 2019)Possible causes of a forest fire ignition could be human-caused (arson, smoking, hunting, picnic fire, shepherd fire, stubble burning) or natural-caused (lightning strikes, power lines). Temperature, relative humidity, ... -
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 ... -
Hybrid differential evolutionary strawberry algorithm for real-parameter optimization problems
(Taylor & Francis Inc, 2020)Evolutionary algorithms (EAs) is a family of population-based nature optimization methods. In contrast to classical optimization techniques, EAs provide a set of approximated solutions for different test suites of optimization ... -
Censored Nonparametric Time-Series Analysis with Autoregressive Error Models
(Springer, 2020)This paper focuses on nonparametric regression modeling of time-series observations with data irregularities, such as censoring due to a cutoff value. In general, researchers do not prefer to put up with censored cases in ... -
Evaluating prophylactic heparin in ambulatory patients with solid tumours: a systematic review and individual participant data meta-analysis
(Elsevier Sci Ltd, 2020)Background Study-level meta-analyses provide high-certainty evidence that heparin reduces the risk of symptomatic venous thromboembolism for patients with cancer; however, whether the benefits and harms associated with ... -
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 ...