A New Ridge-Type Estimator for the Linear Regression Model: Simulations and Applications by B. M. Golam Kibria, Adewale F. Lukman

“…The ridge regression-type (Hoerl and Kennard, 1970) and Liu-type (Liu, 1993) estimators are consistently attractive shrinkage methods to reduce the effects of multicollinearity for both linear and nonlinear regression models. This paper proposes a new estimator to solve the multicollinearity problem for the linear regression model. …”
Get full text

A Pest Management Model with Stage Structure and Impulsive State Feedback Control by Guoping Pang, Zhiqing Liang, Weijian Xu, Lijie Li, Gang Fu

“…A pest management model with stage structure and impulsive state feedback control is investigated. …”
Get full text

Nola Pender and Patricia Benner's theories and models: their connection to skin cancer prevention by Asbely Yera Sánchez, Rubén Darío García Núñez, Yanet Blanco Fleites, Jacobo Cambil Martín

“…Nursing as a science has its own laws, theories and models, principles and object of study that are implicit in the scientific method of the profession. …”
Get full text

Lattice Methods for Pricing American Strangles with Two-Dimensional Stochastic Volatility Models by Xuemei Gao, Dongya Deng, Yue Shan

“…The aim of this paper is to extend the lattice method proposed by Ritchken and Trevor (1999) for pricing American options with one-dimensional stochastic volatility models to the two-dimensional cases with strangle payoff. …”
Get full text

A Platoon Dispersion Model Based on a Truncated Normal Distribution of Speed by Ming Wei, Wenzhou Jin, Lvou Shen

“…To facilitate coordination in a traffic signal control system, dispersion models for the front and the rear of the platoon are also derived. …”
Get full text

Towards a Conceptual Model of Users’ Expectations of an Autonomous In-Vehicle Multimodal Experience by Ecem Berfin Ince, Kyungjoo Cha, Junghyun Cho

“…The proposed conceptual model could help designers understand and approach users’ expectations more clearly, allowing them to make more informed decisions from the initial stages of the design process.…”
Get full text

Nonlinear Fluctuation Behavior of Financial Time Series Model by Statistical Physics System by Wuyang Cheng, Jun Wang

“…We develop a random financial time series model of stock market by one of statistical physics systems, the stochastic contact interacting system. …”
Get full text

Modeling of Reinforced Concrete Beams Exposed to Fire by Using a Spectral Approach by Rui Sun, Bo Xie, Ricardo Perera, Yongjun Pan

“…Both models are integrated. Previous thermal results obtained from the FE model are provided for the proposed numerical model to calculate the responses of the RC beam for different levels of fire exposure. …”
Get full text

Combined impact of fear and Allee effect in predator-prey interaction models on their growth by Kawkab Al Amri, Qamar J. A Khan, David Greenhalgh

“…We started off with a two-dimensional model where we found possible equilibria and examined their stabilities. …”
Get full text

Developing a hybrid model for comparative analysis of financial data clustering algorithms by Mojtaba Movahedi, Mahdi Homayounfar, Mehdi Fadaei, Mansour Soufi

“…Due to the importance of using these algorithms in analyzing financial market data that have a high volume and scope, this study in order to select the best clustering algorithm for clustering companies listed on the Tehran Stock Exchange in the field of finance from It has used different clustering algorithms and evaluated the validity of these algorithms and selected the best algorithm.Methodology: This research is applied in terms of purpose and descriptive in terms of implementation method and is of quantitative type (mathematical modeling). The statistical population of the research includes 403 companies listed on the Tehran Stock Exchange in 2019, whose performance has been evaluated based on four financial criteria.Findings: After clustering the surveyed companies by five clustering algorithms, namely K-means, EM, COBWEB, density-based algorithm and ward method, seven indicators RS, DB, Dun, SD, Purity, Entropy and Time were used to evaluate the algorithms. …”
Get full text

Effect of <i>Satureja montana</i> Essential Oil on Model Lipid Membranes by Simona Sennato, Silvia Trabalzini, Maria Gioia Fabiano, Domenico Truzzolillo, Edouard Chauveau, Cecilia Bombelli, Federica Rinaldi, Maria Carafa

“…In this framework, we investigated the interaction of SEO with lipid monolayers, which represent simplified models of cell membranes, using the Langmuir monolayer technique, complemented by fluorescence anisotropy and differential scanning calorimetry on lipid bilayers. …”
Get full text

Chaos and Control of Game Model Based on Heterogeneous Expectations in Electric Power Triopoly by Weizhuo Ji

“…A dynamic repeated game model has been established based on heterogeneous expectations in electric power triopoly. …”
Get full text

Evaluating the Effect of Modelling Errors in Load Identification Using Classical Identification Methods by Michael Vigsø, Rune Brincker, Christos Georgakis

“…For all (or at least most) methods, however, some sort of system model is required. This model may be simple or complex, depending on the system at hand. …”
Get full text

The Linear Fitting Method for Model of PIN Array Receiver in Space Optical Communication by H. Qinggui

“…We have proposed PIN array as receiver in space optical communication and adopted the double diode model, the widely accepted solar energy output theory, to study its characteristics of output current and voltage. …”
Get full text

sEMG-MMG State-Space Model for the Continuous Estimation of Multijoint Angle by Xugang Xi, Chen Yang, Seyed M. Miran, Yun-Bo Zhao, Shuliang Lin, Zhizeng Luo

“…The model combines forward dynamics with a Hill-based muscle model that estimates joint torque only in a nonfeedback form, making the extended model capable of predicting the multijoint motion directly. …”
Get full text

Node Deployment Algorithm Based on Viscous Fluid Model for Wireless Sensor Networks by Jiguang Chen, Huanyan Qian

“…In order to reduce the complexity, we propose a node deployment algorithm based on viscous fluid model. In wireless sensor networks, sensor nodes are abstracted as fluid particles. …”
Get full text

Rate Sensitive Continuum Damage Models and Mesh Dependence in Finite Element Analyses by Goran Ljustina, Martin Fagerström, Ragnar Larsson

“…The experiences from orthogonal machining simulations show that the Johnson-Cook (JC) dynamic failure model exhibits significant element size dependence. …”
Get full text

Analysis Model of Risk Factors of Urban Bus Operation Based on FTA-CLR by Jianfeng Xi, Yunhe Zhao, Tongqiang Ding, Jian Tian, Lianjie Li

“…Finally, the scientific rationality and applicability of the model are verified, through the goodness of fit test and the comparison test with the actual probability of occurrence.…”
Get full text

Synthesis and Modeling of Temperature Distribution For Nanoparticles Produced Using Nd:YAG Lasers by Mu’ataz S. Hassan, Ziad A. Taha, Bassam G. Rasheed

“…Moreover, theoretical model was used to estimate the temperature distributions for both silver and silicon nanoparticles. …”
Get full text

Particle-Size Distribution Models for the Conversion of Chinese Data to FAO/USDA System by Wei Shangguan, YongJiu Dai, Carlos García-Gutiérrez, Hua Yuan

“…We investigated eleven particle-size distribution (PSD) models to determine the appropriate models for describing the PSDs of 16349 Chinese soil samples. …”
Get full text