Statistics, Optimization & Information Computing最新文献

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Prediction of Characteristics Using a Convolutional Neural Network Based on Experimental Data on the Structure and Composition of Metamaterials 基于超材料结构和组成实验数据的卷积神经网络特性预测
Statistics, Optimization & Information Computing Pub Date : 2023-04-20 DOI: 10.19139/soic-2310-5070-1707
M. Zozyuk, D. Koroliouk, Pavel Krysenko, Alexei Yurikov, Y. Yakymenko
{"title":"Prediction of Characteristics Using a Convolutional Neural Network Based on Experimental Data on the Structure and Composition of Metamaterials","authors":"M. Zozyuk, D. Koroliouk, Pavel Krysenko, Alexei Yurikov, Y. Yakymenko","doi":"10.19139/soic-2310-5070-1707","DOIUrl":"https://doi.org/10.19139/soic-2310-5070-1707","url":null,"abstract":"This work proposes an algorithm for properties predicting metamaterials depending on their structure, physical properties of the components of metamaterials, and their characteristics. In this context, the term ”properties” means the result of interacting with the irradiation of a material with electromagnetic exposure of a certain frequency or spectral composition to determine the transmittance/reflection coefficients of the metamaterial. The model is based on the construction of metamaterial in form of a 3D object, the presentation of physical properties in the form of additional components in the object’s vectors, the presentation of experimental data in the form of polynomial coefficients, or the points on the chart of dependencies. Despite the small amount of data, a sufficiently small error rate was obtained for both cases, and the prediction results of experimental data are presented. The amount of experimental data can be increased by supplementary parameters which characterize the conditions under which the experimental data were obtained - polarization, angle of incidence, the intensity of irradiation, etc. The main issues may arise during the preparation of data for neural network learning due to difficulties in converting 3D formats into the required array of data and taking into account all the circumstances, dielectric and magnetic permeabilities, and specific conductivity.","PeriodicalId":131002,"journal":{"name":"Statistics, Optimization & Information Computing","volume":"53 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130332680","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 Testing the Adequacy of the Lindley Model and Power Study 林德利模型的充分性检验与权力研究
Statistics, Optimization & Information Computing Pub Date : 2023-04-20 DOI: 10.19139/soic-2310-5070-1443
H. Alizadeh Noughabi, M. S. Noughabi
{"title":"On Testing the Adequacy of the Lindley Model and Power Study","authors":"H. Alizadeh Noughabi, M. S. Noughabi","doi":"10.19139/soic-2310-5070-1443","DOIUrl":"https://doi.org/10.19139/soic-2310-5070-1443","url":null,"abstract":"The Lindley distribution may serve as a useful reliability model. Applications of this distribution are presented in statistical literature. In this article, goodness of fit tests for the Lindley distribution based on the empirical distribution function (EDF) are considered. In order to compute the test statistics, we use the maximum likelihood estimate (MLE) suggested by Ghitany et al. (2008), which is simple explicit estimator. Critical points of the proposed test statistics are obtained by Monte Carlo simulation. Power comparisons of the considered tests are carried out via simulations. Finally, two illustrative examples are presented and analyzed.","PeriodicalId":131002,"journal":{"name":"Statistics, Optimization & Information Computing","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116685179","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 Note on a Strong Persistence of Stochastic Predator-Prey Model with Jumps 关于具有跳跃的随机捕食-食饵模型的强持续性的一个注记
Statistics, Optimization & Information Computing Pub Date : 2023-04-01 DOI: 10.19139/soic-2310-5070-1089
Olga Borysenko, Oleksandr Borysenko
{"title":"A Note on a Strong Persistence of Stochastic Predator-Prey Model with Jumps","authors":"Olga Borysenko, Oleksandr Borysenko","doi":"10.19139/soic-2310-5070-1089","DOIUrl":"https://doi.org/10.19139/soic-2310-5070-1089","url":null,"abstract":"We study the non-autonomous stochastic predator-prey model with a modified version of Leslie-Gower term and Holling-type II functional response driven by the system of stochastic differential equations with white noise, centered and non-centered Poisson noises. The sufficient conditions of strong persistence in the mean of the solution to the considered system are obtained.","PeriodicalId":131002,"journal":{"name":"Statistics, Optimization & Information Computing","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128212997","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 Dependent Variables Following Marshal- Olkin Bivariate Distributions in the Presence of Progressive Type II Censoring 渐进式II型删减存在下marshall - Olkin二元分布的因变量分析
Statistics, Optimization & Information Computing Pub Date : 2023-04-01 DOI: 10.19139/soic-2310-5070-1308
H. Muhammed
{"title":"Analysis of Dependent Variables Following Marshal- Olkin Bivariate Distributions in the Presence of Progressive Type II Censoring","authors":"H. Muhammed","doi":"10.19139/soic-2310-5070-1308","DOIUrl":"https://doi.org/10.19139/soic-2310-5070-1308","url":null,"abstract":"In this paper, the likelihood function under progressive Type II censoring is generalized for Marshal-Olkin bivariate class of distributions and applied it on the bivariate Dagum distribution. Maximum likelihood estimation is considered for the model unknown parameters. Asymptotic and bootstrap confidence intervals for the unknown parameters are evaluated under progressive Type II censoring. Bayesian estimation is also considered in both complete and progressive Type II censored samples; moreover, the Bayes estimators are obtained explicitly with respect to square error loss function in both cases.","PeriodicalId":131002,"journal":{"name":"Statistics, Optimization & Information Computing","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129243141","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 a Closed-Loop Supply Chain with Graded Returns 一类具有分级回报的闭环供应链
Statistics, Optimization & Information Computing Pub Date : 2023-03-18 DOI: 10.19139/soic-2310-5070-1758
najeeb al-matar, L. Tadj
{"title":"On a Closed-Loop Supply Chain with Graded Returns","authors":"najeeb al-matar, L. Tadj","doi":"10.19139/soic-2310-5070-1758","DOIUrl":"https://doi.org/10.19139/soic-2310-5070-1758","url":null,"abstract":"We use optimal control theory to determine the optimal manufacturing, remanufacturing, and disposal rates in a closed-loop supply chain. The returned items are of different quality levels. The firm grades the returned items according to their quality. Each class of returned items is remanufactured and stocked separately. Also, all items are subject to deterioration and the deterioration rate depends on the class. Finally, each class of items is sold to a different segment of customers. An illustrative example is presented along with a sensitivity analysis on some of the system parameters.","PeriodicalId":131002,"journal":{"name":"Statistics, Optimization & Information Computing","volume":"50 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120868576","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
Discrete Logistic Exponential Distribution with Application 离散Logistic指数分布及其应用
Statistics, Optimization & Information Computing Pub Date : 2023-03-18 DOI: 10.19139/soic-2310-5070-1396
Afrah Al-Bossly, M. Eliwa, Muhammad Ahsan-ul-Haq, M. El-Morshedy
{"title":"Discrete Logistic Exponential Distribution with Application","authors":"Afrah Al-Bossly, M. Eliwa, Muhammad Ahsan-ul-Haq, M. El-Morshedy","doi":"10.19139/soic-2310-5070-1396","DOIUrl":"https://doi.org/10.19139/soic-2310-5070-1396","url":null,"abstract":"In this paper, a new two-parameter discrete logistic exponential distribution is proposed based on the survival discretization approach. Some statistical properties are derived, and it is found that the proposed model can be used to discuss several kinds of failure rates including unimodal, bathtub, and increasing-shaped. Moreover, it can be utilized effectively to model under- and over-dispersed data. The distribution parameters are estimated using the maximum likelihood technique. The behavior of maximum likelihood estimators is assessed utilizing a comprehensive simulation study. In the end, two real data are analyzed to show the usefulness of the new discrete distribution.","PeriodicalId":131002,"journal":{"name":"Statistics, Optimization & Information Computing","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122040070","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
A New Weighted Topp-Leone Family of Distributions 一个新的加权Topp-Leone分布族
Statistics, Optimization & Information Computing Pub Date : 2023-03-17 DOI: 10.19139/soic-2310-5070-1514
Gorgees Shaheed
{"title":"A New Weighted Topp-Leone Family of Distributions","authors":"Gorgees Shaheed","doi":"10.19139/soic-2310-5070-1514","DOIUrl":"https://doi.org/10.19139/soic-2310-5070-1514","url":null,"abstract":"Based on T-X transform due to Alzaatreh et al. (2013), we propose the new weighted Topp-Leone (NWTL-Π) continuous statistical distributions with two extra shpae parameters .Then we study some basic mathematical properties. Then we study Uniform model as member of the new class with more details. Using a simulation study, we compared some methods of estimation. Finally we analyzed and used lifetime and failure time real data sets to illustrate the purposes.","PeriodicalId":131002,"journal":{"name":"Statistics, Optimization & Information Computing","volume":"176 23","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120885380","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
A Bayesian Semi-parametric Quantile Regression Approach for Joint Modeling of Longitudinal Ordinal and Continuous Responses 纵向有序和连续响应联合建模的贝叶斯半参数分位数回归方法
Statistics, Optimization & Information Computing Pub Date : 2023-03-13 DOI: 10.19139/soic-2310-5070-1225
Omid Khazaei, M. Ganjali, M. Khazaei
{"title":"A Bayesian Semi-parametric Quantile Regression Approach for Joint Modeling of Longitudinal Ordinal and Continuous Responses","authors":"Omid Khazaei, M. Ganjali, M. Khazaei","doi":"10.19139/soic-2310-5070-1225","DOIUrl":"https://doi.org/10.19139/soic-2310-5070-1225","url":null,"abstract":"Quantile regression (QR) models are one of the methods for longitudinal data analysis. When responses seemto be skew and asymmetric due to outliers and heavy-tails, QR models may work suitably. This paper developes the semi-parametric quantile regression model for analyzing longitudinal continuous and ordinal mixed responses. The latent variable model and some threshold parameters are used to perform the quantile regression model’s ordinal part. The error of the latent variable model has Asymmetric Laplace (AL) distribution. The error term’s distribution is assumed to be AL distribution to model the continuous responses. The correlations of longitudinal responses belong to the same individual and those of mixed continuous and ordinal responses are considered using a random-effects approach. The regression spline is used to approximate the non-parametric part of the model. The parameter estimation procedure is performed under aBayesian paradigm using the Gibbs sampling method. A simulation study is performed to demonstrate the proposed model’s performance where the relative biases, standard errors, and root of MSEs of estimated parameters are decreased in the semi- parametric QR joint model when the number of subjects is increased. In our application, it was found that the mother’s age and her child’s age have significant effects on reading ability, and antisocial behavior depends on the child’s gender.","PeriodicalId":131002,"journal":{"name":"Statistics, Optimization & Information Computing","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125507503","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
Inference Based on New Pareto-Type Records With Applications to Precipitation and Covid-19 Data 基于降水和Covid-19数据应用的新pareto型记录的推断
Statistics, Optimization & Information Computing Pub Date : 2023-02-26 DOI: 10.19139/soic-2310-5070-1591
A. S. Nik, A. Asgharzadeh, A. Baklizi
{"title":"Inference Based on New Pareto-Type Records With Applications to Precipitation and Covid-19 Data","authors":"A. S. Nik, A. Asgharzadeh, A. Baklizi","doi":"10.19139/soic-2310-5070-1591","DOIUrl":"https://doi.org/10.19139/soic-2310-5070-1591","url":null,"abstract":"We consider estimation and prediction of future records based on observed records from the new Pareto type distribution proposed recently by Bourguignon et al. (2016), “M. Bourguignon, H. Saulo, R. N. Fernandez, A new Pareto-type distribution with applications in reliability and income data, Physica A, 457 (2016), 166-175.”. We derived several point predictors for a future record on the basis of the first n records. Two real data sets on precipitation and Covid 19 are analysed and a Monte Carlo simulation study has been performed to evaluate the statistical performance of point predictors presented in this paper.","PeriodicalId":131002,"journal":{"name":"Statistics, Optimization & Information Computing","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127872450","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
Nonparametric Recursive Kernel Type Eestimators for the Moment Generating Function Under Censored Data 截尾数据下矩生成函数的非参数递归核型估计
Statistics, Optimization & Information Computing Pub Date : 2023-02-17 DOI: 10.19139/soic-2310-5070-1678
S. Bouzebda, I. Elhattab, Y. Slaoui, Nourelhouda Taachouche
{"title":"Nonparametric Recursive Kernel Type Eestimators for the Moment Generating Function Under Censored Data","authors":"S. Bouzebda, I. Elhattab, Y. Slaoui, Nourelhouda Taachouche","doi":"10.19139/soic-2310-5070-1678","DOIUrl":"https://doi.org/10.19139/soic-2310-5070-1678","url":null,"abstract":"\u0000 \u0000 \u0000We are mainly concerned with kernel-type estimators for the moment-generating function in the present paper. More precisely, we establish the central limit theorem with the characterization of the bias and the variance for the nonparametric recursive kernel-type estimators for the moment-generating function under some mild conditions in the censored data setting. Finally, we investigate the methodology’s performance for small samples through a short simulation study. \u0000 \u0000 \u0000","PeriodicalId":131002,"journal":{"name":"Statistics, Optimization & Information Computing","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127358835","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
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