Güncel Gönderiler: İstatistik Bölümü Koleksiyonu
Toplam kayıt 95, listelenen: 81-95
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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) ... -
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 ... -
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 ... -
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, ... -
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 ... -
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 ... -
Comparing clusterings and numbers of clusters by aggregation of calibrated clustering validity indexes
(Springer, 2020)A key issue in cluster analysis is the choice of an appropriate clustering method and the determination of the best number of clusters. Different clusterings are optimal on the same data set according to different criteria, ... -
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 ... -
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 ... -
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 ... -
A new robust ridge parameter estimator based on search method for linear regression model
(Taylor & Francis Ltd, 2020)A large and wide variety of ridge parameter estimators proposed for linear regression models exist in the literature. Actually proposing new ridge parameter estimator lately proving its efficiency on few cases seems endless. ... -
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 ... -
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 ...
