Results 31 to 40 of about 1,934,800 (291)
A Parametric Regression Model using Power Chris-Jerry Distribution with Application to Censored Data [PDF]
The interdependency of various areas of Statistics is gaining good attention in the literature. This is possible through innovations such as the log-transformation of distribution to a parametric regression model hence integrating ...
Christiana I. Ezeilo +2 more
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Prediction and evaluation of health state for power battery based on Ridge linear regression model
The state of health (SOH) of power battery reflects the difference between the current performance of the battery and the time it left the factory. Accurate prediction of it is the key to improving battery cycle efficiency.
Bixiong Huang +4 more
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Short Term Wind Power Prediction Based on Data Regression and Enhanced Support Vector Machine
This paper presents a short-term wind power forecasting model for the next day based on historical marine weather and corresponding wind power output data.
Chia-Sheng Tu +3 more
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The advent of the Internet of Things (IoT) allows the Cyber-Physical System (CPS) components to communicate with other devices, and to interact with safety-critical systems, posing new research challenges in security, privacy, and reliability.
AKM Jahangir Alam Majumder +2 more
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A simple yet accurate photovoltaic (PV) performance curve as a function of satellite-based solar irradiation is necessary to develop a PV power forecasting model that can cover all of South Korea, where more than 35,000 PV power plants are currently in ...
Alba Vilanova +3 more
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Power-Transformation Model to Additivity in Regression
We study the properties of the power-transformation model to improve the non-additivity in regression, proposed by Goto (1992). This power additive transformation (PAT) model is an extension of the Box and Cox power transformation (BCPT) model and then includes the Bleasdale's simplified model and the one-compartment model as special cases. We describe
Toshimitsu Hamasaki, Masashi Goto
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Short-term electric power load forecasting is a critical and essential task for utilities of the electric power industry for proper energy trading and that enable the independent system operator to operate the network without any technical and economical
Venkataramana Veeramsetty +6 more
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Size and power properties of some tests in the Birnbaum-Saunders regression model
The Birnbaum-Saunders distribution has been used quite effectively to model times to failure for materials subject to fatigue and for modeling lifetime data.
Artur J. Lemonte +37 more
core +1 more source
Several papers on distributions to model rates and proportions have been recently published; their fitting in numerous instances is better than the alternative beta distribution, which has been the distribution to follow when it is necessary to quantify ...
Guillermo Martínez-Flórez +2 more
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Bayesian reference analysis for exponential power regression models [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ferreira, Marco AR, Salazar, Esther
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