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Indicating if water is safe for human consumption using an enhanced machine learning approach 使用增强的机器学习方法指示水是否可供人类安全饮用
Statistics, Optimization & Information Computing Pub Date : 2023-01-09 DOI: 10.19139/soic-2310-5070-1703
M. Nachaoui, S. Lyaqini, Marouane Chaouch
{"title":"Indicating if water is safe for human consumption using an enhanced machine learning approach","authors":"M. Nachaoui, S. Lyaqini, Marouane Chaouch","doi":"10.19139/soic-2310-5070-1703","DOIUrl":"https://doi.org/10.19139/soic-2310-5070-1703","url":null,"abstract":"Predicting water quality accurately is critically important in real-life water resource management. This work proposes an approach based on supervised machine learning to predict water quality. Motivated, by the success of the non-smooth loss function for supervised learning problems [22], we reformulate the learning problem as a regularized optimization problem whose fidelity term is the hinge loss function and the hypothesis space is a polynomial approximation. To deal with the non-differentiability of the loss function, a special smoothing function is proposed. Then, the obtained optimization problem is solved by an improved conjugate gradient algorithm. Finally,some experiments results are presented.","PeriodicalId":131002,"journal":{"name":"Statistics, Optimization & Information Computing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130366603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Reliability Analysis of Exponentiated Exponential Distribution for Neoteric and Ranked Sampling Designs with Applications 近代排序抽样设计的指数分布可靠性分析及应用
Statistics, Optimization & Information Computing Pub Date : 2023-01-08 DOI: 10.19139/soic-2310-5070-1317
A. Hassan, Rasha S. Elshaarawy, H. Nagy
{"title":"Reliability Analysis of Exponentiated Exponential Distribution for Neoteric and Ranked Sampling Designs with Applications","authors":"A. Hassan, Rasha S. Elshaarawy, H. Nagy","doi":"10.19139/soic-2310-5070-1317","DOIUrl":"https://doi.org/10.19139/soic-2310-5070-1317","url":null,"abstract":"The neoteric ranked set sampling (NRSS) scheme is an effective design compared to the usually ranked set sampling (RSS) scheme. Herein, we regard reliability estimation of the stress-strength (SS) model using the maximum likelihood procedure via NRSS and RSS designs. Assume that stress Y and strength X are exponentiated exponential random variables with the same scale parameter. Various sample strategies are used to evaluate the reliability estimator. We acquire an estimate of R when the samples of stress and strength random variables are chosen from the same sampling methods, such as RSS or NRSS. Furthermore, we derive R estimator when X and Y are chosen from RSS and NRSS, respectively, and vice versa. A simulation investigation is formed to assay and compare the accuracy of estimates for all proposed schemes. We conclude based on study outcomes that the reliability estimates of the stress-strength model via NRSS are more efficient than the others via RSS. Analysis of real data is displayed to investigate the usefulness of the proposed estimators.","PeriodicalId":131002,"journal":{"name":"Statistics, Optimization & Information Computing","volume":"69 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124273146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Poisson-Topp-Leone Burr Type-X II Model: Various Uncensored Applications for Statistical Modeling and Some Copulas Poisson-Topp-Leone Burr型x II模型:统计建模的各种非删节应用和一些关联
Statistics, Optimization & Information Computing Pub Date : 2023-01-07 DOI: 10.19139/soic-2310-5070-1567
M. Abdullah, Wahhab Salim Mohammed, Aqeel Hameed Farhana
{"title":"The Poisson-Topp-Leone Burr Type-X II Model: Various Uncensored Applications for Statistical Modeling and Some Copulas","authors":"M. Abdullah, Wahhab Salim Mohammed, Aqeel Hameed Farhana","doi":"10.19139/soic-2310-5070-1567","DOIUrl":"https://doi.org/10.19139/soic-2310-5070-1567","url":null,"abstract":"The Poisson-Topp-Leone Burr type-X II distribution is studied mainly for illustrating its wide applicability under uncensored engineering and medical real-life datasets. The real-life datasets are checked and analyzed for the statistical modeling purpose. The Poisson-Topp-Leone Burr type-X II model is compared with other nine types of Burr type-X II extensions and provided the best results. For modeling the bivariate uncensored engineering and medical real-life datasets, we presented some bivariate version with some useful theoretical results. Those versions are investigated due to certain and common copulas.","PeriodicalId":131002,"journal":{"name":"Statistics, Optimization & Information Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129387814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Winning a Tournament According to Bradley-Terry Probability Model 根据布拉德利-特里概率模型赢得比赛
Statistics, Optimization & Information Computing Pub Date : 2023-01-07 DOI: 10.19139/soic-2310-5070-1490
Shuyang Gao, H. Mahmoud
{"title":"Winning a Tournament According to Bradley-Terry Probability Model","authors":"Shuyang Gao, H. Mahmoud","doi":"10.19139/soic-2310-5070-1490","DOIUrl":"https://doi.org/10.19139/soic-2310-5070-1490","url":null,"abstract":"We analyze the chances of winning a tournament under the assumption that the probabilities of winning individual matches follow Bradley-Terry model [2]. We present an exact solution and show a few examples of its use. The examples are from California volleyball tournaments, the round of sixteen in the World Cup and the Champions League, the group stage of the Association of Tennis Professionals tournament, and the volleyball SuperLega in Italy. \u0000The computational complexity of the solution grows exponentially fastwith the number of teams and we seek approximations via multivariate Gaussian laws.","PeriodicalId":131002,"journal":{"name":"Statistics, Optimization & Information Computing","volume":"261 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116075382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analysis of Household Income, Expenditure and Consumption Survey Research Data for North Sinai Governorate in Egypt Using Length Biased Truncated Lomax Distribution 基于长度偏倚截断Lomax分布的埃及北西奈省居民收入、支出和消费调查研究数据分析
Statistics, Optimization & Information Computing Pub Date : 2023-01-07 DOI: 10.19139/soic-2310-5070-1361
A. Hassan, A. W. Shawki, H. Muhammed
{"title":"Analysis of Household Income, Expenditure and Consumption Survey Research Data for North Sinai Governorate in Egypt Using Length Biased Truncated Lomax Distribution","authors":"A. Hassan, A. W. Shawki, H. Muhammed","doi":"10.19139/soic-2310-5070-1361","DOIUrl":"https://doi.org/10.19139/soic-2310-5070-1361","url":null,"abstract":"The length biased truncated Lomax distribution is introduced in this study as a weighted form of the truncated Lomax distribution. The length biased truncated Lomax distribution’s essential distributional features are investigated. In the case of complete and type-II censored data, the maximum likelihood method is provided for estimating population parameter. The model parameter asymptotic confidence interval is calculated. To demonstrate the pattern of the estimate, a sample generation algorithm is supplied, as well as a Monte Carlo simulation analysis. We can see from the simulation research that as the censoring level is increased, the mean squared error of parameter estimates decrease’s for all given values. With increasing sample size, the mean squared error and average length of parameter estimates decrease. The estimates get increasingly accurate as the sample size grows higher, suggesting that its asymptotically unbiased. Furthermore, in all cases, the mean squared error diminishes as the sample size grows, indicating that the estimates of parameter are consistent. Modelling to medical data and the percentage of household spending on education out of total household expenditure from the household income, expenditure and consumption survey (HIECS) data are used to show the importance of the new model. The Kumaraswamy, beta, truncated power Lomax, truncated Weibull, and one parameter-beta distributions perform poorly in comparison to the suggested distribution.","PeriodicalId":131002,"journal":{"name":"Statistics, Optimization & Information Computing","volume":"231 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122676198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Reliability Estimation for the Inverse Weibull Distribution Under Adaptive Type-II Progressive Hybrid Censoring: Comparative Study 自适应ii型渐进式混合滤波下逆威布尔分布可靠性估计的比较研究
Statistics, Optimization & Information Computing Pub Date : 2023-01-02 DOI: 10.19139/soic-2310-5070-1638
Majd Alslman, Amal Helu
{"title":"Reliability Estimation for the Inverse Weibull Distribution Under Adaptive Type-II Progressive Hybrid Censoring: Comparative Study","authors":"Majd Alslman, Amal Helu","doi":"10.19139/soic-2310-5070-1638","DOIUrl":"https://doi.org/10.19139/soic-2310-5070-1638","url":null,"abstract":"The aim of this study is to investigate different methods of estimating the stress-strength reliability parameter, $theta =P(Y<X)$, when the strength (X) and the stress (Y) are independent random variables taken from the inverse Weibull distribution (IWD), with the same shape parameter and different scale parameters. Based on Adaptive Type-II Hybrid progressive censored samples, we employ classical and Bayesian approaches. In the classical approach, we use the maximum likelihood estimator (MLE), the approximate maximum likelihood estimator (AMLE), and the least squares estimator (LSE). In contrast, the Bayesian approach utilizes symmetric and asymmetric loss functions. Due to the absence of explicit forms for Bayes estimators, we propose using Lindley's approximation method for computing the Bayes estimators. We compare these estimators using extensive simulations and two criteria: the bias and the mean square error (MSE). Finally, two real-life data examples are provided for illustrations.","PeriodicalId":131002,"journal":{"name":"Statistics, Optimization &amp; Information Computing","volume":"145 S279","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113972837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Novel Two-Parameter Compound G Family of Probability Distributions With Some Copulas, Statistical Properties and Applications 一类新的双参数复G族概率分布及其统计性质和应用
Statistics, Optimization &amp; Information Computing Pub Date : 2022-12-31 DOI: 10.19139/soic-2310-5070-1436
Mohamed K. A. Refaie, H. A. Mahran
{"title":"A Novel Two-Parameter Compound G Family of Probability Distributions With Some Copulas, Statistical Properties and Applications","authors":"Mohamed K. A. Refaie, H. A. Mahran","doi":"10.19139/soic-2310-5070-1436","DOIUrl":"https://doi.org/10.19139/soic-2310-5070-1436","url":null,"abstract":"In this work, we introduce a new G family with two-parameter called the compound reversed Rayleigh-G family. Several relevant mathematical and statistical properties are derived and analyzed. The new density can be heavy tail and right skewed with one peak, symmetric density, simple right skewed density with one peak, asymmetric right skewed with one peak and a heavy tail and right skewed with no peak. The new hazard function can be \"upsidedown-constant\", \"constant\", \"increasing-constant\", \"revised J shape\", \"upside-down\", \"J shape\" and \"increasing\". Many bivariate types have been also derived via di¤erent common copulas. The estimation of the model parameters is performed by maximum likelihood method. The usefulness and ‡exibility of the new family is illustrated by means of two real data sets.","PeriodicalId":131002,"journal":{"name":"Statistics, Optimization &amp; Information Computing","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124356190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
On Kernel-Based Estimator of Odds Ratio Using Different Stratified Sampling Schemes 不同分层抽样方案下基于核的比值比估计
Statistics, Optimization &amp; Information Computing Pub Date : 2022-12-22 DOI: 10.19139/soic-2310-5070-1425
Abbas Eftekharian, H. Samawi, Haresh Rochani
{"title":"On Kernel-Based Estimator of Odds Ratio Using Different Stratified Sampling Schemes","authors":"Abbas Eftekharian, H. Samawi, Haresh Rochani","doi":"10.19139/soic-2310-5070-1425","DOIUrl":"https://doi.org/10.19139/soic-2310-5070-1425","url":null,"abstract":" The kernel-based estimator of Cochran Mantel-Haenszel odds ratio based on stratified simple and ranked set sampling is proposed. The expectation and variance of the estimator are analytically obtained. Using a simulation study, the estimator based on stratified ranked set sampling is more efficient than its counterpart based on stratified simple random sampling. Finally, the estimator's performance is investigated by using base deficit data.","PeriodicalId":131002,"journal":{"name":"Statistics, Optimization &amp; Information Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121595764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dynamics of the Predator-Prey Model with Beddington-DeAngelis Functional Response Perturbed by Lévy Noise lsamvy噪声扰动下具有Beddington-DeAngelis功能响应的捕食者-猎物模型动力学
Statistics, Optimization &amp; Information Computing Pub Date : 2022-11-28 DOI: 10.19139/soic-2310-5070-1189
O. Borysenko, O. Borysenko
{"title":"Dynamics of the Predator-Prey Model with Beddington-DeAngelis Functional Response Perturbed by Lévy Noise","authors":"O. Borysenko, O. Borysenko","doi":"10.19139/soic-2310-5070-1189","DOIUrl":"https://doi.org/10.19139/soic-2310-5070-1189","url":null,"abstract":"We study the non-autonomous stochastic predator-prey model with Beddington-DeAngelies functional response driven by the system of stochastic differential equations with white noise, centered and non-centered Poisson noises. It is proved the existence and uniqueness of the global positive solution of considered system. We obtain sufficient conditions of stochastic ultimate boundedness, stochastic permanence, non-persistence in the mean, weak and strong persistence in the mean and extinction of the population densities in the considered stochastic predator-prey model.","PeriodicalId":131002,"journal":{"name":"Statistics, Optimization &amp; Information Computing","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129860421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Estimates for Distributions of Suprema of Spherical Random Fields 球形随机场上极值分布的估计
Statistics, Optimization &amp; Information Computing Pub Date : 2022-11-04 DOI: 10.19139/soic-2310-5070-1705
L. Sakhno
{"title":"Estimates for Distributions of Suprema of Spherical Random Fields","authors":"L. Sakhno","doi":"10.19139/soic-2310-5070-1705","DOIUrl":"https://doi.org/10.19139/soic-2310-5070-1705","url":null,"abstract":"Bounds for distributions of suprema of $varphi$-sub-Gaussian random fields defined over the $N$-dimensional unit sphere are stated. Applications of the results to the spherical fractional Brownian motion, isotropic Gaussian fields and some other models are presented.","PeriodicalId":131002,"journal":{"name":"Statistics, Optimization &amp; Information Computing","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130054059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
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