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Application of EC, ECE, and ECE-ECE Models with Potential Dependent Transfer Coefficient to Selected Electrode Processes

Journal of The Electrochemical Society, 2007
The electrochemical-chemical (EC), electrochemical, chemical, electrochemical (ECE), and electrochemical, chemical, electrochemical-electrochemical, chemical, electrochemical (ECE-ECE) models with and without an included α variability were applied to the reduction of 2-methyl-2-nitropropane, benzenesulfonyl fluoride, and p-toluenesulfonyl fluoride. The
Przemysław T. Sanecki, Piotr M. Skitał
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Nonlinear models with strongly dependent processes and applications to forward premia and real exchange rates [PDF]

open access: possible, 2006
This paper considers estimation and inference in some general non linear time series models which are embedded in a strongly dependent, long memory process. Some new results are provided on the properties of a time domain MLE for these models. The paper also includes a detailed simulation study which compares the time domain MLE with a two step ...
Richard T. Baillie, George Kapetanios
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Evolution of Copulas in Discrete Processes with Application to a Numerical Modeling of Dependence Relation Between Exchange Rates

2017
Copulas are known to provide a flexible tool for analyzing the dependence structure between random events. Here we apply the newly introduced notion of evolution of copulas to real data of exchange rates so that we ensure the quality of practically employing our theory.
Naoyuki Ishimura, Yasukazu Yoshizawa
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Mixture model of generalized chain-dependent processes and its application to simulation of interannual variability of daily rainfall

Journal of Hydrology, 2008
Summary This study is devoted to simulation of the interannual variability of daily rainfall, such as the mean and variance of seasonal rainfall totals and the correlation between seasonal rainfall totals and a seasonal climate variable (e.g., an index of atmospheric or oceanic circulation).
Xiaogu Zheng, Richard W. Katz
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S1000d Applicability Depended Processing Model - SALERNO

2023 14th International Conference on Information, Intelligence, Systems & Applications (IISA), 2023
Theresia El Khoury   +3 more
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Soft Sensor Modeling Based on Multi-State-Dependent Parameter Models and Application for Quality Monitoring in Industrial Sulfur Recovery Process

IEEE Sensors Journal, 2018
Soft sensors have gained wide popularity in the industrial processes for online quality prediction in the recent years. In the case of online deployment, it is important to incorporate fewer input variables to improve the performance of the soft sensor.
Bahareh Bidar   +3 more
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An Age-Dependent Population Model with Applications to Microbial Growth Processes

1984
The classical linear model of age-dependent population dynamics essentially due to Von Foerster [30] and Sharpe and Lotka [28] consists of the partial differential equation $$\frac{{\partial x\left( {t,\tau } \right)}} {{\partial t}} + \frac{{\partial x\left( {t,\tau } \right)}} {{\partial \tau }} + f\left( \tau \right)x\left( {t,\tau } \right) = 0$
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Strategies for Model Simplification and Data Reduction in Holographic Virtual Prototyping and Product Visualization Through Application Dependent Model Pre-Processing

Volume 2: 29th Computers and Information in Engineering Conference, Parts A and B, 2009
Three-dimensional (3D) displays are increasingly becoming common output devices for design support systems. They are widely used in applications such as virtual prototyping e.g. for visualization of product data and for concepts demonstration. Holographic displays are among the visualization devices that are capable of generating suitable 3D virtual ...
Eliab Z. Opiyo   +2 more
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Application of a novel resolution approach combining soft- and hard-modelling features to investigate temperature-dependent kinetic processes

Analytica Chimica Acta, 2001
Abstract A new resolution method based on the combination of hard- and soft-modelling is applied to the analytical study of spectrometrically monitored kinetic processes. This method results from the modification of the iterative soft-modelling multivariate curve resolution-alternating least-squares method (MCR-ALS) by the inclusion of a new hard ...
Anna de Juan   +3 more
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Application of Max-Stable Process Model in Estimating the Spatial Trend & Dependency of Extremes in the Northern Great Plains

2023
<p>Alaba Boluwade*</p> <p>School of Climate Change & Adaptation, University of Prince Edward Island, Charlottetown, Canada; aboluwade@upei.ca; abolu2013@gmail.com</p> <p>*Correspondence: aboluwade@upei.ca</p> <p><strong>Abstract & ...
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