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Toplam kayıt 59, listelenen: 1-10
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 ...
The Khorana score for prediction of venous thromboembolism in cancer patients: An individual patient data meta-analysis
(Wiley, 2020)
Background Oncology guidelines suggest using the Khorana score to select ambulatory cancer patients receiving chemotherapy for primary venous thromboembolism (VTE) prevention, but its performance in different cancers remains ...
Estimating the Nonparametric Regression Function by Using Pade Approximation Based on Total Least Squares
(Taylor & Francis Inc, 2020)
In this paper, we propose a Pade-type approximation based on truncated total least squares (P - TTLS) and compare it with three commonly used smoothing methods: Penalized spline, Kernel smoothing and smoothing spline methods ...
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 ...
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 ...
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. ...