The Effect Of Servıce Qualıty On The Satısfactıon Level: A Case Study In Mersın Provınce by Yusuf Er

“…In addition to descriptive statistical models, t-test and Anova analysis methods were used in the statistical analysis of data (α = 0.05). …”
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Modified Chen distribution: Properties, estimation, and applications in reliability analysis by M. G. M. Ghazal

“…We examined its statistical properties, such as moments, mean time to failure, mean residual life, Rényi entropy, and order statistics. Model parameters, along with survival and hazard functions, were estimated by utilizing maximum likelihood estimators and two types of bootstrap confidence intervals. …”
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DeepWei-Cu: A Deep Weibull Network for Cure Fraction Models by Ola Abuelamayem

“…The analysis can be performed using traditional statistical models or neural networks. Recently, neural network has attracted attention in analyzing lifetime data due to its ability of efficiently estimating the survival function under the existence of complex covariates. …”
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Economic and Sensitivity Analyses of Controllable Queues With Customer Feedback and Impatience Using Markovian Modeling by Shreekant Varshney, Mankumar Acharya, Zala Jenishkumar Kanjibhai, Mukesh Pushkarna, Walid El-Shafai, Ievgen Zaitsev

“…In comparison to conventional models, this approach combines customer impatience, feedback procedure, and working vacation into the statistical modeling of queues in a novel manner. These aspects contain enormous potential for practical applications but require additional evaluation from an operational or customer service perspective through dynamic investigation. …”
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Association Between Deforestation and the Incidence of Snakebites in South Korea by Seoheui Lee, Junyeong Lee, Kyung-Duk Min

“…Additional covariates included altitude, average temperature, population size, proportion of urban land cover, proportion of agricultural land cover, and level of ecological preservation. Twelve statistical models were employed to assess the association between deforestation and snakebite incidence. …”
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Introduction: Intergenerational Transmissions of Infant Mortality using the Intermediate Data Structure (IDS) by Luciana Quaranta, Hilde Leikny Sommerseth

“…Taking advantage of the Intermediate Data Structure (IDS), the five empirical studies created datasets for analysis and ran statistical models using exactly the same programs, which are also published within the special issue. …”
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A new statistical approach with simulation study: Its implementations in management sciences and reliability by Zhidong Liang

“…This awareness has inspired researchers to develop new statistical models, resulting in a range of methodologies. …”
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Introduction: Intergenerational Transmissions of Infant Mortality using the Intermediate Data Structure (IDS) by Luciana Quaranta, Hilde Leikny Sommerseth

“…Taking advantage of the Intermediate Data Structure (IDS), the five empirical studies created datasets for analysis and ran statistical models using exactly the same programs, which are also published within the special issue. …”
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Focal Treatment of Prostate Cancer with Vascular-Targeted Photodynamic Therapy by Scott E. Eggener, Jonathan A. Coleman

“…Contemporary diagnostic biopsy strategies and imaging tools, and the development of predictive statistical models (nomograms), have led to improvements in tumor characterization and risk stratification, making focal therapy a viable treatment option for specific men. …”
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GIS-Based Landslide Susceptibility Mapping Using Frequency Ratio and Shannon Entropy Models in Dejen District, Northwestern Ethiopia by Abinet Addis

“…A GIS-based study has been carried out to map areas landslide susceptibility using both frequency ratio (FR) and Shannon entropy (SE) bivariate statistical models. A total of 270 landslides were identified and classified randomly into training landslides datasets (70%) and the remaining (30%) of landslides datasets were used for validation purpose. …”
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A New Truncated Muth Generated Family of Distributions with Applications by Abdullah M. Almarashi, Farrukh Jamal, Christophe Chesneau, Mohammed Elgarhy

“…In recent years, the Muth distribution has been used for the construction of accurate statistical models, with applications in various applied fields. …”
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Advanced Genetic Algorithms for Optimal Battery Siting: A Practical Methodology for Distribution System Operators by Edward Alejandro Ortiz, Josimar Tello-Maita, David Celeita, Agustin Marulanda Guerra

“…By incorporating historical data on demand and network failures, the algorithm generates statistical models that inform the optimization process. …”
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A systematic scoping review reveals that geographic and taxonomic patterns influence the scientific and societal interest in urban soil microbial diversity by Simon Masson, Matteo Chialva, Davide Bongiovanni, Martino Adamo, Irene Stefanini, Luisa Lanfranco

“…By coupling bibliometrics with statistical modelling we found that soil microbial traits such as biomass and respiration and omics techniques attract the interest of the scientific community while multi-taxa and time-course studies appeal more to the general public.…”
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Indoor Positioning in Wireless Local Area Networks with Online Path-Loss Parameter Estimation by Luigi Bruno, Paolo Addesso, Rocco Restaino

“…It is based on a Sequential Monte Carlo realization of the optimal Bayesian estimation scheme, whose functioning is improved by exploiting the Rao-Blackwellization rationale. Two key statistical models for RSS characterization are deeply analyzed, by presenting effective implementations of the proposed scheme and by assessing the positioning accuracy by extensive computer experiments. …”
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Unsupervised machine and deep learning methods for structural damage detection: A comparative study by Zilong Wang, Young‐Jin Cha

“…The key concept behind unsupervised novelty detection in this article is that only normal data from undamaged/baseline structural scenarios are required to train statistical models with these methods. Then, these trained models are used to identify abnormal testing data from damaged scenarios. …”
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Research on the Application of Reinforcement Learning in Traffic Flow Prediction by Hu Yiquan

“…However, traditional statistical models and prediction methods based on historical data exhibit many limitations when dealing with complex, dynamic, and nonlinear traffic flow data. …”
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Research on Monthly Runoff Forecast in Beijiang River Basin Based on Multi-model Ensemble Method by ZHONG Yixuan, LIAO Xiaolong, QUAN Xujian, YI Ling, CHEN Yan, LI Yuanyuan, XUE Jiao

“…The accuracy of the monthly runoff forecast plays a fairly important role in aspects such as optimal allocation of water resources,flood control and drought relief in a basin,water dispatching,and power generation optimization of reservoir groups.The commonly used methods for the monthly runoff forecast mainly include water balance models,mathematical statistics models,and artificial neural networks.Studies have shown that any single model cannot achieve the optimal monthly runoff forecast.Therefore,the multi-model ensemble method provides an effective way to eliminate model uncertainty and improve the accuracy of the monthly runoff forecast.Specifically,the research takes Pingshi,Lishi,Hengshi,and Shijiao stations in the Beijiang River Basin as the research object to analyze and compare the effects of the seasonal auto-regressive (SAR) model,two-parameter monthly water balance (TPMWB) model,and artificial neural network (ANN) model.Then,the multi-model ensemble method for the above-mentioned stations is proposed on the basis of the Bayesian model averaging (BMA) method.The research results reveal that compared with any of the three models,the multi-model ensemble method has significantly improved the accuracy of the monthly runoff forecast with a higher determination coefficient (DC) and a lower mean absolute percentage error (MAPE),and thus it can provide better support for decisions in dispatching in the basin.…”
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Modeling sickness absence data: A scoping review. by Tom Duchemin, Mounia N Hocine

“…We followed the PRISMA methodology for scoping reviews and searched Medline, World of Science, Science Direct, Psycinfo and EconLit for publications using statistical modeling for explaining or predicting sick leave at the individual level. …”
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Effect of Covid-19 Pandemic on Recreational Awareness and Quality of Life by Mehmet Demirel, Alper Kaya, Davut Budak, Mustafa Sabır Bozoğlu, Yusuf Er

“…Since the data did not have a normal distribution, that is, non-parametric distribution, besides descriptive statistical models, Mann Whitney U, Kruskal Wallis test, and correlation analysis were applied. …”
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An Analysis of Space Inequalities in Utilization of Urban in Abadan Services Oil by sadegh besharatifar, kohdadd mobinizadeh

“…For data collection using documentary and field methods, using service and socio-economic indicators as well as using quantitative models and statistics models Space is in the year 1397. The purpose of the research is to analyze and evaluate the spatial inequalities in utilization of urban services in Abadan oil. …”
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