Yayıncı "Springer" İstatistik Bölümü Koleksiyonu için listeleme
Toplam kayıt 9, listelenen: 1-9
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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 ... -
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, ... -
Determining the Flat Sales Prices by Flat Characteristics Using Bayesian Network Models
(Springer, 2021)There are various factors affecting flat sales prices. Various characteristics of a flat play an important role in determining its sales price. In this study, a machine learning based Bayesian network was built by a ... -
Forecasting COVID19 Reliability of the Countries by Using Non-Homogeneous Poisson Process Models
(Springer, 2022)Reliability is the probability that a system or a product fulfills its intended function without failure over a period of time and it is generally used to determine the reliability, release and testing stop time of the ... -
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) ... -
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 ... -
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 ... -
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 ... -
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 ...