Başlık için İstatistik Bölümü Koleksiyonu listeleme
Toplam kayıt 95, listelenen: 38-57
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Gıda sektöründe istatistiksel kalite kontrol grafiklerinin bir uygulaması
(2008)Kalite kontrol grafikleri süreç kontrolü ve iyileştirilmesinde önemli bir yere sahiptir. İşletmelerdeki ürünlerin kalite düzeylerinin araştırılması ve kalite değişimlerinin belirlenmesi için istatistiksel kalite kontrol ... -
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) ... -
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 ... -
A Hybrid Time Series Prediction Model Based on Fuzzy Time Series and Maximal Overlap Discrete Wavelet Transform
(Gazi Universitesi, 2022)This study proposes a new time series prediction method that combines Fuzzy Time Series (FTS) based on fuzzy clustering and Maximal Overlap Discrete Wavelet Transform (MODWT). Time series generally consist of subseries, ... -
Imputation Method Based on Sliding Window for Right-Censored Data
(Springer, 2020)Censored data arise in almost all important statistical analyses. For example, in patient-based studies, biostatistics data often subject to right censoring due to the detection limits, or to incomplete data. In the context ... -
Investigating the COVID19 Characteristics of the Countries Based on Time Series Clustering
(Sivas Cumhuriyet Üniversitesi, 2022)The objective of this study is to reveal the COVID19 characteristics of the countries by using time series clustering. Up to now, various studies have been conducted for similar objectives. But, it has been observed that ... -
Investigation of Stillbirth Rate Using Logistic Regression Analysis in Holstein Friesian Calves
(Ege Universitesi, 2023)Logistic relationship regression of independent analysis is variable(s) amethod with to determine dependent the variable, reason-result which has binary or multiple categorical structures. In this study, sex of calf, parity ... -
Kernel Ridge Estimator for the Partially Linear Model under Right-Censored Data
(IRANIAN STATISTICAL SOC, 2021)Objective: This paper aims to introduce a modified kernel-type ridge estimator for partially linear models under randomly-right censored data. Such models include two main issues that need to be solved: multi-collinearity ... -
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 ... -
Kurumsal Karne Gelişiminde Stratejik Yönetimi Etkinleştirme
(2007)Son zamanlarda yönetim alanında gerçekleştirilen bilimsel çalışmalar örgüt sürekliliğinin anahtar faktörü olarak, örgütün potansiyel stratejisinin değişime adaptasyonunu ve stratejinin örgüt ortamına etkin bir şekilde ... -
Large-scale global optimization based on hybrid swarm intelligence algorithm
(IOS Press, 2020)There are numerous large-scale global optimization problems encountered in real-world applications including engineering, manufacturing, economics, networking fields. Over the last two decades different varieties of swarm ... -
Mapping the forest fire risk zones using artificial intelligence with risk factors data
(SPRINGER HEIDELBERG, 2022)Geographical information system data has been used in forest fire risk zone mapping studies commonly. However, forest fires are caused by many factors, which cannot be explained only by geographical and meteorological ... -
Modeling of Tunnel Boring Machine Performance Employing Random Forest Algorithm
(Springer Science and Business Media Deutschland GmbH, 2023)Prediction of tunnel boring machine (TBM) performance is still a challenging research subject in engineering geology, geotechnical engineering, and tunnel engineering communities. The longest railway tunnel with approximately ... -
Modelling Right-Censored Data with Partially Linear Model and Feed Forward Neural Networks: A Methodological Study
(Türkiye klinikleri, 2022)Objective: Modeling right-censored data becomes a challenging task in survival analysis, due to having an incomplete data structure. When the response variable is rightcensored, classical estimation methods cannot be used ... -
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 ... -
Modified Local Linear Estimators in Partially Linear Additive Models with Right-Censored Data Based on Different Censorship Solution Techniques
(MDPI, 2023)This paper introduces a modified local linear estimator (LLR) for partially linear additive models (PLAM) when the response variable is subject to random right-censoring. In the case of modeling right-censored data, PLAM ... -
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 ... -
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 ... -
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 ...
