4.7 Article

Modeling the stochastic mechanism of sensor using a hybrid method based on seasonal autoregressive integrated moving average time series and generalized estimating equations

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Interdisciplinary Applications

Dynamic latent variable regression for inferential sensor modeling and monitoring

Qinqin Zhu et al.

COMPUTERS & CHEMICAL ENGINEERING (2020)

Article Statistics & Probability

Testing the difference between spectral densities of two independent periodically correlated (cyclostationary) time series models

Mohammad Reza Mahmoudi et al.

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS (2019)

Article Computer Science, Interdisciplinary Applications

A new method to compare the spectral densities of two independent periodically correlated time series

Mohammad Reza Mahmoudi et al.

MATHEMATICS AND COMPUTERS IN SIMULATION (2019)

Article Engineering, Electrical & Electronic

On the asymptotic distribution for the periodograms of almost periodically correlated (cyclostationary) processes

Mohammad Reza Mahmoudi et al.

DIGITAL SIGNAL PROCESSING (2018)

Review Computer Science, Information Systems

Beyond smartphones and sensors: choosing appropriate statistical methods for the analysis of longitudinal data

Ian Barnett et al.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2018)

Article Statistics & Probability

A new method to detect periodically correlated structure

Mohammad Reza Mahmoudi et al.

COMPUTATIONAL STATISTICS (2017)

Article Statistics & Probability

Periodically correlated modeling by means of the periodograms asymptotic distributions

A. R. Nematollahi et al.

STATISTICAL PAPERS (2017)

Article Engineering, Electrical & Electronic

Soft Sensor Modeling of Nonlinear Industrial Processes Based on Weighted Probabilistic Projection Regression

Xiaofeng Yuan et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2017)

Article Engineering, Chemical

A Framework and Modeling Method of Data-Driven Soft Sensors Based on Semisupervised Gaussian Regression

Weiwu Yan et al.

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2016)

Article Engineering, Electrical & Electronic

Sensor Data Fusion by Support Vector Regression Methodology-A Comparative Study

Shahaboddin Shamshirband et al.

IEEE SENSORS JOURNAL (2015)

Article Computer Science, Interdisciplinary Applications

Adaptive soft sensor modeling framework based on just-in-time learning and kernel partial least squares regression for nonlinear multiphase batch processes

Huaiping Jin et al.

COMPUTERS & CHEMICAL ENGINEERING (2014)

Article Computer Science, Artificial Intelligence

Fault detection in multi-sensor networks based on multivariate time-series models and orthogonal transformations

Francisco Serdio et al.

INFORMATION FUSION (2014)

Article Automation & Control Systems

Nonlinear semisupervised principal component regression for soft sensor modeling and its mixture form

Zhiqiang Ge et al.

JOURNAL OF CHEMOMETRICS (2014)

Article Medical Informatics

Anomaly Detection in Medical Wireless Sensor Networks using SVM and Linear Regression Models

Osman Salem et al.

INTERNATIONAL JOURNAL OF E-HEALTH AND MEDICAL COMMUNICATIONS (2014)

Article Engineering, Electrical & Electronic

A Comparative Study on Linear Regression-Based Noise Estimation for Hyperspectral Imagery

Lianru Gao et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2013)

Article Engineering, Electrical & Electronic

Adaptive model selection for time series prediction in wireless sensor networks

Yann-Ael Le Borgne et al.

SIGNAL PROCESSING (2007)

Article Engineering, Manufacturing

Arc sensor model using multiple-regression analysis and a neural network

Y Kim et al.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE (2005)

Article Remote Sensing

ARMA time series modelling of remote sensing imagery: a new approach for climate change studies

JM Piwowar et al.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2002)