Multi-linear regression models for traffic prediction in large-scale networks by Zhao, XinYue

“…By generating the prediction result, calculating the error between result and actual data, as well as comparing the difference between the prediction results we can have a better understanding about how can multi-linear regression model being used to solve traffic prediction problems.…”
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Semiparametric regression analysis of clustered survival data with semi-competing risks by Peng, Mengjiao, Xiang, Liming, Wang, Shanshan

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Nonlinear regression approach to estimating Johnson SB parameters for diameter data by Abd Kudus, Kamziah, Ahmad, M I, Lapongan, Jaffirin

“…A nonlinear regression approach is proposed to estimate the parameters of the Johnson S(B) distribution. …”

Resonant forward-scattered field in the high-saturation regime : elastic and inelastic contributions by Kwong, Chang Chi, Wellens, T., Pandey, K., Wilkowski, David

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Deformed Fréchet law for Wigner and sample covariance matrices with tail in crossover regime by Han, Yi, Han, Yi

“…When the law of a ij is regularly varying with index α ∈ ( 0 , 4 ) , then the largest eigenvalue has a Fréchet distribution. An intermediate regime is recently uncovered in Diaconu (Ann Probab 51(2):774–804, 2023): when lim x → ∞ x 4 P ( | a ij | > x ) = c ∈ ( 0 , ∞ ) , then the law of the largest eigenvalue converges to a deformed Fréchet distribution. …”
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Direct observation of ultrafast plasmonic hot electron transfer in the strong coupling regime by Shan, Hangyong, Yu, Ying, Wang, Xingli, Luo, Yang, Zu, Shuai, Du, Bowen, Han, Tianyang, Li, Bowen, Li, Yu, Wu, Jiarui, Lin, Feng, Shi, Kebin, Tay, Beng Kang, Liu, Zheng, Zhu, Xing, Fang, Zheyu

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The Perils of Consensus: How ASEAN’s Meta-Regime Undermines Economic and Environmental Cooperation by Vinod, K. Aggarwal, Chow, Jonathan T.

“…This paper presents an analytical model of international institutions that shows how underlying norms and principles—the meta-regime—govern the rules and procedures of specific international regimes. …”
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Robust ridge estimation method for multiple linear regression in the presence of multicollinearity and outliers / by Kafi Dano Pati, 1961-, author 651609, Robiah Adnan, supervisor 651610, Fakulti Sains 8004

It’s the state, indeed! How state capacity facilitates social equality in authoritarian regimes by Vaccaro, A, Panaro, AV

“…Empirical evidence suggests that contemporary authoritarian regimes face several incentives to redistribute social policy concessions to their citizens. …”

Rice stable carbon and nitrogen isotope values as potential indicators of watering and manuring regimes by Wu, R, Belfield, EJ, Dong, Y, Feng, S, Fu, X, Harberd, NP, Yang, F, Charles, M, Bogaard, A

Indonesia-Japan Economic Partnership Agreement (IJEPA): a response to a regime change. by Siti Tiefryani Fahlyah

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Hedonic regression model : influence of housing characteristics and housing lease on HDB's resale price by Ng, Darren Kaiwen, Nah, Hng Meng

“…To fill the above literature gap, this paper aims to introduce housing lease years expired as a contractual variable and utilize a robust hedonic regression model to analyse housing lease relationship and its marginal contribution to resale HDB prices. …”
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Nonlinear regression approach for GPS multipath mitigation : from code to carrier-phase measurements by Phan, Quoc Huy

“…Whereas the theory behind regression problem is robust, the regression problem solution would be feasible as long as a priori data (e.g. training data) is available. …”
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Dynamic and regression modeling of ocean variability in the tide-gauge record at seasonal and longer periods by Hill, Emma M., Davis, James L., Ponte, Rui M.

“…Including OM admittance parameters and seasonal coefficients in a regression model for each station, with IB also removed, produces residual time series with mean global variance reduction of 71%. …”
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Learning battery model parameter dynamics from data with recursive Gaussian process regression by Aitio, A, Joest, D, Sauer, DU, Howey, DA

“…Specifically, we use a Bayesian method, Gaussian process regression, to estimate model parameters as functions of states, operating conditions, and lifetime. …”

Neuroimaging meta regression for coordinate based meta analysis data with a spatial model by Yu, Y, Pintos Lobo, R, Riedel, MC, Bottenhorn, K, Laird, AR, Nichols, T

“…In this article, we propose a generative coordinate-based meta-regression (CBMR) framework to approximate a smooth activation intensity function and investigate the effect of study-level covariates (e.g. year of publication, sample size). …”

Enhancing software effort estimation in the analogy-based approach through the combination of regression methods by Javdani Gandomani, Taghi, Dashti, Maedeh, Zulzalil, Hazura, Md Sultan, Abu Bakar

“…This study aims to enhance software effort estimation in analogy-based methods by introducing a hybrid approach that combines multiple regression methods with feature weighting. The proposed approach evaluates various regression models, integrating them with analogy-based estimation using a weighted combination of project features. …”
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Empowerment or Reinforcement of Gender Regime: Rethinking Social Enterprises’ Intentions and Impact through Gender Lens by Tymosiewicz, Natalia Elizabeth

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Response time characterization of Organic Rankine Cycle evaporators for dynamic regime analysis with fluctuating load by Jiménez-Arreola, Manuel, Wieland, Christoph, Romagnoli, Alessandro

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Multivariate adaptive regression splines model for reliability assessment of serviceability limit state of twin caverns by Zhang, Wengang, Goh, Anthony Teck Chee

“…From the numerical results, a fairly simple nonparametric regression algorithm known as multivariate adaptive regression splines (MARS) has been used to relate the maximum key point displacement and the percent strain to various parameters including the rock quality, the cavern geometry and the in situ stress. …”
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