New renormalization group study of the 3-state Potts model and related statistical models by José Gaite

“…The critical behavior of three-state statistical models invariant under the full symmetry group S3 and its dependence on space dimension have been a matter of interest and debate. …”
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Indoor Deterministic Simulations and Statistical Modeling at Sub-THz Frequencies for Future Wireless Networks by Nektarios Moraitis, Konstantina S. Nikita

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An alternative statistical model for modeling the bimodal asymmetric data with properties, copulas, assessment and applications by Mustafa Kamal, Hebatallah H. Mohammad, Sabir Ali Siddiqui, Maryam Ibrahim Habadi, Mohammad Abiad, Badr Aloraini, Atif Ali Yassin Ali, Sara Mohamed Ahmed Alsheikh

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Statistical Model for the Mechanical Properties of Al-Cu-Mg-Ag Alloys at High Temperatures by A. M. Al-Obaisi, E. A. El-Danaf, A. E. Ragab, M. S. Soliman, A. N. Alhazaa

“…Also, more than 80% of the variation of the high-temperature data was explained through the generated statistical models.…”
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A Normal Contact Stiffness Statistical Model of Joint Interface considering Hardness Changes by Donghua Yin, Xueliang Zhang, Shuhua Wen, Guosheng Lan, Yonghui Chen

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A Statistical Model of Inner Magnetospheric Electron Density: Van Allen Probes Observations by Jing‐Tian Lv, Xiao‐Xin Zhang, Fei He, Rui‐Lin Lin

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An Alternative Statistical Model to Analysis Pearl Millet (Bajra) Yield in Province Punjab and Pakistan by Muhammad Zeshan Arshad, Muhammad Zafar Iqbal, Festus Were, Ramy Aldallal, Fathy H. Riad, M. E. Bakr, Yusra A. Tashkandy, Eslam Hussam, Ahmed M. Gemeay

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Spatial dispersion of climatic factors in North and central basin of Iran using statistical models by Hakimeh Behboudi, Mohammad saligheh, Ali bayat, Akram zakeri, Fatemeh jamali

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Seepage Damage Statistical Model of Filled Fractured Rock considering Structural Surface and Failure Characteristic by Xinyu Liu, Yuan Tian, Zhende Zhu

“…According to the tensile failure characteristics of filled fractured rock under the action of seepage stress, the maximum tensile strain criterion is used to define the rock microunit strength parameters, and the equivalent elastic modulus of the fractured rock is used to establish a new damage statistical model. This paper mainly studies the rationality and feasibility of using this new constitutive model to describe the seepage failure process and damage characteristics of filled fractured rock. …”
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Using Statistical Model to Study the Daily Closing Price Index in the Kingdom of Saudi Arabia (KSA) by Hassan M. Aljohani, Azhari A. Elhag

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A new statistical model with optimal fitting performance: Its assessments in management sciences and reliability by Zhidong Liang

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RETRACTED: Economic, mathematical and statistical modeling of perennial plantations in Chui region amid climate change by Belekuulu Esenbek, Chortombaev Ulan, Baisalova Zhanyl, Shergaziev Uranbek, Ibragimov Nurbek, Nazarbekova Emilia

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An ENSO-Forecast Independent Statistical Model for the Prediction of Annual Atlantic Tropical Cyclone Frequency in April by Kenny Xie, Bin Liu

“…Statistical models for preseason prediction of annual Atlantic tropical cyclone (TC) and hurricane counts generally include El Niño/Southern Oscillation (ENSO) forecasts as a predictor. …”
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Statistical model for the description of ferroelectric phase transitions in BaTiO3 and KNbO3 by Michael Ivliev, Konstantin Andryushin

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Bootstrap Statistical Model of Tooth Surface Deviation of Heat Treatment Deformation of Batch Spiral Bevel Gears by Weihao Sun, Jubo Li, Tianxing Li, Chuang Jiang, Songlin Wang, Jianxin Su

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Research on Medium and Long-Term Runoff Forecast of Xijiang River in Dry Season Based on Statistical Model by LAN Yuxi, ZHANG Yin, NONG Zhenchang, WEI Yongjiang

“…Accurate medium and long-term runoff forecast is of great guiding significance to the development and utilization of water resources,allocation optimization,and water dispatch.Based on the three statistical models of mean generating function,periodic analysis,and multiple stepwise regression,this paper studied the medium and long-term runoff forecast of the Longtan Reservoir in the upper reaches of the Xijiang River and the Wuzhou hydrological station in the lower reaches from October to March of the following year and during the entire dry season (six months,from October to March of the following year).The results show that the three models all present positive forecast results.In the calibration and verification periods,the average pass rate exceeds 75%,and the mean absolute percentage error is basically within 30%.The forecast accuracy of the mean generating function and the multiple stepwise regression is significantly higher than that of the periodic analysis,with smaller forecast errors in larger values.Multiple stepwise regression is more stable than the other two models.Furthermore,affected by the consistency of data,the forecast accuracy of the Longtan Reservoir is significantly higher than that of the Wuzhou hydrological station.On the whole,multiple stepwise regression has the optimal forecast effect in the Xijiang River Basin.In addition,it can maintain high forecast accuracy at all levels and stages and provide a valuable reference for water dispatch decisions in the basin.In the future,multi-model fusion can be used to further improve the forecast effect.…”
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Temporal Forecasting of Distributed Temperature Sensing in a Thermal Hydraulic System With Machine Learning and Statistical Models by Stella Pantopoulou, Matthew Weathered, Darius Lisowski, Lefteri H. Tsoukalas, Alexander Heifetz

“…We benchmark performance of long-short term memory (LSTM) network machine learning model and autoregressive integrated moving average (ARIMA) statistical model in temporal forecasting of distributed temperature sensing (DTS). …”
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Development of a Statistical Model for Estimating Spatial and Temporal Ambient Ozone Patterns in the Sierra Nevada, California by Haiganoush K. Preisler, Michael J. Arbaugh, Andrzej Bytnerowicz, Susan L. Schilling

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Blind detection for image steganography using short du ate codes statistical model for Hilbert scanning sequences by Shang-ping ZHONG, Qiao-fen XU, Wen-zhong GUO, Bin LIAO

“…By analyzing and proving the correlation between the detection capability of a short duplicate code statistical feature and the probability of cumulating short duplicate codes、the dimension of short duplicate codes,a method to improving the detection capability of a short duplicate code statistical feature was found.Then,a blind detection method for image steganography using short duplicate codes statistical model for Hilbert scanning sequences was proposed.The proposed method used Poisson distribution test to detect the stego-message based on the statistical feature of short duplicate code with same elements in LSB Hilbert scanning sequences.So,the proposed method could make full use of Hilbert curve to maintain the good properties of local correlation,and could not only use the correlation of adjacent elements,but also use the correlation of elements in local regions.Theoretical lysis and experiments show that the proposed method can effectively improve the detection rate under the condition of effectively controlling the false alarm rate.…”
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Effect and prediction of long-term weather and pollutant exposure on hemorrhagic fever with renal syndrome: based on statistical models by Weiming Hou

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