Statistics, optimization & information computing最新文献

筛选
英文 中文
Statistical Analysis Based on Adaptive Progressive Hybrid Censored Data From Lomax Distribution 基于Lomax分布的自适应渐进式混合截尾数据的统计分析
Statistics, optimization & information computing Pub Date : 2021-11-30 DOI: 10.19139/soic-2310-5070-1330
Amal Helu, Hani Samawi
{"title":"Statistical Analysis Based on Adaptive Progressive Hybrid Censored Data From Lomax Distribution","authors":"Amal Helu, Hani Samawi","doi":"10.19139/soic-2310-5070-1330","DOIUrl":"https://doi.org/10.19139/soic-2310-5070-1330","url":null,"abstract":"In this article, we consider statistical inferences about the unknown parameters of the Lomax distribution basedon the Adaptive Type-II Progressive Hybrid censoring scheme, this scheme can save both the total test time and the cost induced by the failure of the units and increases the efficiency of statistical analysis. The estimation of the parameters is derived using the maximum likelihood (MLE) and the Bayesian procedures. The Bayesian estimators are obtained based on the symmetric and asymmetric loss functions. There are no explicit forms for the Bayesian estimators, therefore, we propose Lindley’s approximation method to compute the Bayesian estimators. A comparison between these estimators is provided by using extensive simulation. A real-life data example is provided to illustrate our proposed estimators.","PeriodicalId":93376,"journal":{"name":"Statistics, optimization & information computing","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84658910","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: 4
A Berry-Esseen Bound for Nonlinear Statistics with Bounded Differences 具有有界差分的非线性统计量的Berry-Esseen界
Statistics, optimization & information computing Pub Date : 2021-11-29 DOI: 10.19139/soic-2310-5070-1305
Nguyen Tien Dung, Hoang Thi Phuong Thao, Pham Trung Hieu
{"title":"A Berry-Esseen Bound for Nonlinear Statistics with Bounded Differences","authors":"Nguyen Tien Dung, Hoang Thi Phuong Thao, Pham Trung Hieu","doi":"10.19139/soic-2310-5070-1305","DOIUrl":"https://doi.org/10.19139/soic-2310-5070-1305","url":null,"abstract":"In this paper, we obtain an explicit Berry-Esseen bound in the central limit theorem for nonlinear statistics with bounded differences. Some examples are provided as well.","PeriodicalId":93376,"journal":{"name":"Statistics, optimization & information computing","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84237934","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 Weibull Distribution: Reliability Characterization Based on Linear and Circular Consecutive Systems 威布尔分布:基于线性和圆形连续系统的可靠性表征
Statistics, optimization & information computing Pub Date : 2021-09-24 DOI: 10.19139/SOIC-2310-5070-1132
M. S. Eliwa, M. El-Damcese, A. H. El-Bassiouny, Abhishek Tyag, M. El-Morshedy
{"title":"The Weibull Distribution: Reliability Characterization Based on Linear and Circular Consecutive Systems","authors":"M. S. Eliwa, M. El-Damcese, A. H. El-Bassiouny, Abhishek Tyag, M. El-Morshedy","doi":"10.19139/SOIC-2310-5070-1132","DOIUrl":"https://doi.org/10.19139/SOIC-2310-5070-1132","url":null,"abstract":"Linear and circular consecutive models play a vital role to study the mechanical systems emerging in various fields including survival analysis, reliability theory, biological disciplines, and other lifetime sciences. As a result, analysis of reliability properties of consecutive k − out − of − n : F systems has gained a lot of attention in recent years from a theoretical and practical point of view. In the present article, we have studied some important stochastic and aging properties of residual lifetime of consecutive k − out − of − n : F systems under the condition n − k + 1, k ≤ n and all components of the system are working at time t. The mean residual lifetime  (MRL) and its hazard rate function are proposed for the linear consecutive k − out − of − n : F (lin/con/k/n:F) and circular consecutive k − out − of − n : F (cir/con/k/n:F) systems. Furthermore, several mathematical properties of the proposed MRL are examined. Finally, the Weibull distribution with two parameters is used as an example to explain the theoretical results.","PeriodicalId":93376,"journal":{"name":"Statistics, optimization & information computing","volume":"68 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83792519","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
Infinity Substitute in Finding Exact Minimum of Total Weighted Tardiness in Tight-Tardy Progressive 1-machine Scheduling by Idling-free Preemptions 无空转抢占紧延迟渐进单机调度中总加权延迟精确最小值的无穷代入
Statistics, optimization & information computing Pub Date : 2021-08-01 DOI: 10.19139/soic-2310-5070-1256
Vadim Romanuke
{"title":"Infinity Substitute in Finding Exact Minimum of Total Weighted Tardiness in Tight-Tardy Progressive 1-machine Scheduling by Idling-free Preemptions","authors":"Vadim Romanuke","doi":"10.19139/soic-2310-5070-1256","DOIUrl":"https://doi.org/10.19139/soic-2310-5070-1256","url":null,"abstract":"A job schedule ensuring the exact minimum of total weighted tardiness can be found with the respective integer linear programming problem model, in which the infinity showing that the respective states are either forbidden or impossible is substituted with a sufficiently great positive integer. An open question is whether the substitute can be selected so that the computation time would be decreased. Thus, it is ascertained that, whichever job lengths and its priority weights are, substituting the infinity with just “a sufficiently great positive integer” is never recommended. To decrease the computation time on average, it is strongly recommended to select the infinity substitute as multiple maximum over finite decision variable weights in the exact model. It is sufficient to take 2 to 5 such maxima as the infinity substitute. However, the shortened computation time is not guaranteed for solving a single or few scheduling problems. It is only an expected benefit, which builds up as a few hundred scheduling problems are solved at least.","PeriodicalId":93376,"journal":{"name":"Statistics, optimization & information computing","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67752407","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
Full Content-based Web Page Classification Methods by using Deep Neural Networks 基于全内容的深度神经网络网页分类方法
Statistics, optimization & information computing Pub Date : 2021-07-30 DOI: 10.19139/soic-2310-5070-1056
Suleyman Suleymanzade, F. Abdullayeva
{"title":"Full Content-based Web Page Classification Methods by using Deep Neural Networks","authors":"Suleyman Suleymanzade, F. Abdullayeva","doi":"10.19139/soic-2310-5070-1056","DOIUrl":"https://doi.org/10.19139/soic-2310-5070-1056","url":null,"abstract":"The quality of the web page classification process has a huge impact on information retrieval systems. In this paper, we proposed to combine the results of text and image data classifiers to get an accurate representation of the web pages. To get and analyse the data we created the complicated classifier system with data miner, text classifier, and aggregator. The process of image and text data classification has been achieved by the deep learning models. In order to represent the common view onto the web pages, we proposed three aggregation techniques that combine the data from the classifiers.","PeriodicalId":93376,"journal":{"name":"Statistics, optimization & information computing","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89526511","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
Robust Filtering of Sequences with Periodically Stationary Multiplicative Seasonal Increments 周期平稳乘性季节增量序列的鲁棒滤波
Statistics, optimization & information computing Pub Date : 2021-07-30 DOI: 10.19139/SOIC-2310-5070-1197
M. Luz, M. Moklyachuk
{"title":"Robust Filtering of Sequences with Periodically Stationary Multiplicative Seasonal Increments","authors":"M. Luz, M. Moklyachuk","doi":"10.19139/SOIC-2310-5070-1197","DOIUrl":"https://doi.org/10.19139/SOIC-2310-5070-1197","url":null,"abstract":"We consider stochastic sequences with periodically stationary generalized multiple increments of fractional order which combines cyclostationary, multi-seasonal, integrated and fractionally integrated patterns. We solve the filtering problem for linear functionals constructed from unobserved values of a stochastic sequence of this type based on observations of the sequence with a periodically stationary noise sequence. For sequences with known matrices of spectral densities, we obtain formulas for calculating values of the mean square errors and the spectral characteristics of the optimal filtering of the functionals. Formulas that determine the least favourable spectral densities and the minimax (robust) spectral characteristics of the optimal linear filtering of the functionals are proposed in the case where spectral densities of the sequence are not exactly known while some sets of admissible spectral densities are given.","PeriodicalId":93376,"journal":{"name":"Statistics, optimization & information computing","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78161071","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
Testing the Validity of Lindley Model Based on Informational Energy with Application to Real Medical Data 基于信息能量的Lindley模型有效性检验及其在实际医疗数据中的应用
Statistics, optimization & information computing Pub Date : 2021-07-30 DOI: 10.19139/soic-2310-5070-1238
H. Alizadeh Noughabi
{"title":"Testing the Validity of Lindley Model Based on Informational Energy with Application to Real Medical Data","authors":"H. Alizadeh Noughabi","doi":"10.19139/soic-2310-5070-1238","DOIUrl":"https://doi.org/10.19139/soic-2310-5070-1238","url":null,"abstract":"In this article, a test statistic for testing the validity of the Lindley model based on the informational energy is proposed. Consistency of our test is shown. Through a simulation study, we obtain the critical values of the test statistic and then the power of the test is computed by Monte Carlo method against various alternatives. The performance of the proposed test with some competing tests is compared. Our results show that our test is superior to the classical nonparametric tests and can apply to a testing problem in practice. A real medical data set is presented and analyzed.","PeriodicalId":93376,"journal":{"name":"Statistics, optimization & information computing","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67752305","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 One-parameter G Family of Compound Distributions: Copulas, Statistical Properties and Applications 一类新的单参数G族复合分布:copuls、统计性质及应用
Statistics, optimization & information computing Pub Date : 2021-07-30 DOI: 10.19139/soic-2310-5070-1239
Mohamed Abo Raya
{"title":"A New One-parameter G Family of Compound Distributions: Copulas, Statistical Properties and Applications","authors":"Mohamed Abo Raya","doi":"10.19139/soic-2310-5070-1239","DOIUrl":"https://doi.org/10.19139/soic-2310-5070-1239","url":null,"abstract":"This work introduces a new one-parameter compound G family. Relevant statistical properties are derived. The new density can be “asymmetric right skewed with one peak and a heavy tail”, “symmetric” and “left skewedwith one peak”. The new hazard function can be “upside-down”, “upside-down-constant”, “increasing”, “decreasing” and “decreasing-constant”. Many bivariate types have been also derived via different common copulas. The estimation of the model parameters is performed by maximum likelihood method. The usefulness and flexibility of the new family is illustrated by means of two real data sets.","PeriodicalId":93376,"journal":{"name":"Statistics, optimization & information computing","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86539316","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: 5
Bayesian Estimation of The Ex-Gaussian Distribution 前高斯分布的贝叶斯估计
Statistics, optimization & information computing Pub Date : 2021-07-30 DOI: 10.19139/soic-2310-5070-1251
Abir El Haj, Y. Slaoui, Clara Solier, C. Perret
{"title":"Bayesian Estimation of The Ex-Gaussian Distribution","authors":"Abir El Haj, Y. Slaoui, Clara Solier, C. Perret","doi":"10.19139/soic-2310-5070-1251","DOIUrl":"https://doi.org/10.19139/soic-2310-5070-1251","url":null,"abstract":"Fitting of the exponential modified Gaussian distribution to model reaction times and drawing conclusions from its estimated parameter values is one of the most popular method used in psychology. This paper aims to develop a Bayesian approach to estimate the parameters of the ex-Gaussian distribution. Since the chosen priors yield to posterior densities that are not of known form and that they are not always log-concave, we suggest to use the adaptive rejection Metropolis sampling method. Applications on simulated data and on real data are provided to compare this method to the standard maximum likelihood estimation method as well as the quantile maximum likelihood estimation. Results shows the effectiveness of the proposed Bayesian method by computing the root mean square error of the estimated parameters using the three methods.","PeriodicalId":93376,"journal":{"name":"Statistics, optimization & information computing","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76196854","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 Family of Continuous Distributions: Properties, Copulas and Real Life Data Modeling 一类新的连续分布:性质、copula和现实生活中的数据建模
Statistics, optimization & information computing Pub Date : 2021-07-26 DOI: 10.19139/soic-2310-5070-1130
Mohamed K. A. Refaie
{"title":"A New Family of Continuous Distributions: Properties, Copulas and Real Life Data Modeling","authors":"Mohamed K. A. Refaie","doi":"10.19139/soic-2310-5070-1130","DOIUrl":"https://doi.org/10.19139/soic-2310-5070-1130","url":null,"abstract":"A new family of distributions called the Kumaraswamy Rayleigh family is defied and studied. Some of its relevant statistical properties are derived. Many new bivariate type G families using the of Farlie-Gumbel-Morgenstern, modified Farlie-Gumbel-Morgenstern copula, Clayton copula and Renyi’s entropy copula are derived. The method of the maximum likelihood estimation is used. Some special models based on log-logistic, exponential, Weibull, Rayleigh, Pareto type II and Burr type X, Lindley distributions are presented and studied. Three dimensional skewness and kurtosis plots are presented. A graphical assessment is performed. Two real life applications to illustrate the flexibility, potentiality and importance of the new family is proposed.","PeriodicalId":93376,"journal":{"name":"Statistics, optimization & information computing","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79736992","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
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信