Annals of Data Science最新文献_第9页

Inferences Based on Correlated Randomly Censored Gumbel’s Type-I Bivariate Exponential Distribution 基于相关随机截尾GumbelⅠ型双变量指数分布的推断

Annals of Data Science Pub Date : 2023-01-31 DOI: 10.1007/s40745-023-00463-7

Hare Krishna, Rajni Goel

{"title":"Inferences Based on Correlated Randomly Censored Gumbel’s Type-I Bivariate Exponential Distribution","authors":"Hare Krishna, Rajni Goel","doi":"10.1007/s40745-023-00463-7","DOIUrl":"10.1007/s40745-023-00463-7","url":null,"abstract":"<div><p>The formal random censoring plan has been extensively studied earlier in statistical literature by numerous researchers to deal with dropouts or unintentional random removals in life-testing experiments. All of them considered failure time and censoring time to be independent. But there are several situations in which one observes that as the failure time of an item increases, the censoring time decreases. In medical studies or especially in clinical trials, the occurrence of dropouts or unintentional removals is frequently observed in such a way that as the treatment (failure) time increases, the dropout (censoring) time decreases. No work has yet been found that deals with such correlated failure and censoring times. Therefore, in this article, we assume that the failure time is negatively correlated with censoring time, and they follow Gumbel’s type-I bivariate exponential distribution. We compute the maximum likelihood estimates of the model parameters. Using the Monte Carlo Markov chain methods, the Bayesian estimators of the parameters are calculated. The expected experimental time is also evaluated. Finally, for illustrative purposes, a numerical study and a real data set analysis are given.</p></div>","PeriodicalId":36280,"journal":{"name":"Annals of Data Science","volume":"11 4","pages":"1185 - 1207"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49343107","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

Bayesian Hierarchical Spatial Modeling of COVID-19 Cases in Bangladesh 孟加拉国COVID-19病例的贝叶斯分层空间模型

Annals of Data Science Pub Date : 2023-01-22 DOI: 10.1007/s40745-022-00461-1

Md. Rezaul Karim, Sefat-E-Barket

引用次数: 0

Intervention Analysis of COVID-19 Vaccination in Nigeria: The Naive Solution Versus Interrupted Time Series 尼日利亚新冠肺炎疫苗接种干预分析：天真的解决方案与中断的时间序列

Annals of Data Science Pub Date : 2023-01-19 DOI: 10.1007/s40745-023-00462-8

Desmond Chekwube Bartholomew, Chrysogonus Chinagorom Nwaigwe, Ukamaka Cynthia Orumie, Godwin Onyeka Nwafor

{"title":"Intervention Analysis of COVID-19 Vaccination in Nigeria: The Naive Solution Versus Interrupted Time Series","authors":"Desmond Chekwube Bartholomew, Chrysogonus Chinagorom Nwaigwe, Ukamaka Cynthia Orumie, Godwin Onyeka Nwafor","doi":"10.1007/s40745-023-00462-8","DOIUrl":"10.1007/s40745-023-00462-8","url":null,"abstract":"<div><p>In this paper, an intervention analysis approach was applied to daily cases of COVID-19 in Nigeria in order to evaluate the utilization and effect of the COVID-19 vaccine administered in the country. Data on the daily report of COVID-19 cases in Nigeria were collected and subjected to two models: the naïve solution and the interrupted time series (the intervention model). Based on the Alkaike Information Criterion (AIC), sigma<sup>2</sup>, and log likelihood values, the interrupted time series model outperformed the Naïve solution model. ARIMA (4, 1, 4) with exogenous variables was identified as the best model. It was observed that the intervention (vaccination) was not significant at the 5% level of significance in reducing the number of daily COVID-19 cases in Nigeria since the start of the vaccination on March 5, 2021, until March 28, 2022. Also, the ARIMA (4, 1, 4) forecasts indicated that there will be surge in the number of daily COVID-19 cases in Nigeria between January and April 2023. As a result, we recommend strict adherence to COVID-19 protocols as well as further vaccination and sensitization programs to educate people on the importance of vaccine uptake and avoid Corona virus spread in the year 2023 and beyond.</p></div>","PeriodicalId":36280,"journal":{"name":"Annals of Data Science","volume":"11 5","pages":"1609 - 1634"},"PeriodicalIF":0.0,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45470057","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

Exchange Rate Forecasting: Nonlinear GARCH-NN Modeling Approach 汇率预测:非线性GARCH-NN建模方法

Annals of Data Science Pub Date : 2023-01-03 DOI: 10.1007/s40745-022-00458-w

Fahima Charef

引用次数: 0

An Alternative to the Beta Regression Model with Applications to OECD Employment and Cancer Data β回归模型的替代选择及其在经合组织就业和癌症数据中的应用

Annals of Data Science Pub Date : 2022-12-27 DOI: 10.1007/s40745-022-00460-2

Idika E. Okorie, Emmanuel Afuecheta

引用次数: 0

Data Analysis by Adaptive Progressive Hybrid Censored Under Bivariate Model 双变量模型下的自适应渐进混合截尾数据分析

Annals of Data Science Pub Date : 2022-10-23 DOI: 10.1007/s40745-022-00455-z

El-Sayed A. El-Sherpieny, Hiba Z. Muhammed, Ehab M. Almetwally

引用次数: 0

On Step-Stress Partially Accelerated Life Testing with Competing Risks Under Progressive Type-II Censoring 具有竞争风险的阶跃应力部分加速寿命试验

Annals of Data Science Pub Date : 2022-10-22 DOI: 10.1007/s40745-022-00454-0

Sara O. Abd El-Azeem, Mahmoud H. Abu-Moussa, Moustafa M. Mohie El-Din, Lamiaa S. Diab

引用次数: 0

Image Steganography Using Fractal Cover and Combined Chaos-DNA Based Encryption 基于分形覆盖和混沌DNA组合加密的图像隐写术

Annals of Data Science Pub Date : 2022-10-22 DOI: 10.1007/s40745-022-00457-x

Asha Durafe, Vinod Patidar

{"title":"Image Steganography Using Fractal Cover and Combined Chaos-DNA Based Encryption","authors":"Asha Durafe, Vinod Patidar","doi":"10.1007/s40745-022-00457-x","DOIUrl":"10.1007/s40745-022-00457-x","url":null,"abstract":"<div><p>To address the need for secure digital image transmission an algorithm that fulfils all prominent prerequisites of a steganography technique is developed. By incorporating the salient features of fractal cover images, dual-layer encryption using the standard chaotic map and DNA-hyperchaotic cryptography along with DWT-SVD embedding, key aspects like robustness, better perceptual quality and high payload capacity are targeted to build a blind colour image steganography algorithm in this work. A fractal cover image is used to hide a DNA-chaotic encrypted colour image using DWT-SVD embedding method. A two-dimensional standard chaotic map, which exhibits robust chaos for a very large range of parameter, is used to generate the pseudo-random number sequences of cryptographic qualities. One of the core novelty of the proposed method is the 2 layers chaotic encryption method to generate the DNA encrypted secret image which is finally embedded in a fractal cover image using DWT-SVD transform domain technique capable of withstanding the false positive attack. The comprehensive statistical security tests and the standard evaluation benchmarks depict that this efficient yet simple hybrid steganography algorithm is highly robust as well as sustainable against removal, geometrical, image enhancement and histogram attacks, offers better perceptual image quality and also contributes high perceptual quality of the extracted image.</p></div>","PeriodicalId":36280,"journal":{"name":"Annals of Data Science","volume":"11 3","pages":"855 - 885"},"PeriodicalIF":0.0,"publicationDate":"2022-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46333893","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 G Family for Single Acceptance Sampling Plan with Application in Quality and Risk Decisions 一种新的单次验收抽样计划G族及其在质量和风险决策中的应用

Annals of Data Science Pub Date : 2022-10-20 DOI: 10.1007/s40745-022-00451-3

Basma Ahmed, M. Masoom Ali, Haitham M. Yousof

引用次数: 0

Statistical Analysis from the Generalized Inverse Lindley Distribution with Adaptive Type-II Progressively Hybrid Censoring Scheme 广义逆Lindley分布的自适应型渐进式混合滤波统计分析

Annals of Data Science Pub Date : 2022-10-20 DOI: 10.1007/s40745-022-00453-1

Intekhab Alam, Murshid Kamal, Mohammad Tariq Intezar, Saqib Showkat Wani, Imran Alam

{"title":"Statistical Analysis from the Generalized Inverse Lindley Distribution with Adaptive Type-II Progressively Hybrid Censoring Scheme","authors":"Intekhab Alam, Murshid Kamal, Mohammad Tariq Intezar, Saqib Showkat Wani, Imran Alam","doi":"10.1007/s40745-022-00453-1","DOIUrl":"10.1007/s40745-022-00453-1","url":null,"abstract":"<div><p>The key assumption in accelerated life testing is that the mathematical model concerning the lifetime of the item and the stress is known or can be assumed. In several situations, such life-stress relationships are not known and cannot be assumed, i.e. accelerated life testing information cannot be extrapolated to use situation. So, in such cases, a partially accelerated life test is a more appropriate testing method to be executed for which tested objects are subjected to both normal and accelerated circumstances. Due to continual improvement in manufacturing design, it is more difficult to obtain information about the lifetime of products or materials with high reliability at the time of testing under normal conditions. An approach to accelerate failures is the step-stress partially accelerated life test which increases the load applied to the goods in a particular discrete sequence. In this study, the maximum likelihood estimators of inverse the generalized inverse Lindley distribution parameters and the acceleration factor are investigated in a step-stress partially accelerated life test model utilizing two various types of progressively hybrid censoring systems. Furthermore, the performance of the model parameter estimators with the two progressive hybrid censoring schemes is analyzed and compared in terms of biases and mean squared errors using a Monte Carlo simulation approach.</p></div>","PeriodicalId":36280,"journal":{"name":"Annals of Data Science","volume":"11 2","pages":"479 - 506"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41944192","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