Journal of Reliability and Statistical Studies最新文献_第3页

Bayesian and MLE of R=P(Y>X) for Exponential Distribution Based on Varied L Ranked Set Sampling 基于变L秩集抽样的指数分布R=P（Y>X）的Bayes和MLE

IF 0.8

Journal of Reliability and Statistical Studies Pub Date : 2022-11-23 DOI: 10.13052/jrss0974-8024.15210

Mohamed S. Abdallah

{"title":"Bayesian and MLE of R=P(Y>X) for Exponential Distribution Based on Varied L Ranked Set Sampling","authors":"Mohamed S. Abdallah","doi":"10.13052/jrss0974-8024.15210","DOIUrl":"https://doi.org/10.13052/jrss0974-8024.15210","url":null,"abstract":"The ranked set sampling (RSS) is an effective scheme popularly used to produce more precisely estimators. Despite its popularity, RSS suffers from some drawbacks which includes high sensitivity to outliers and it cannot sometimes be applicable when the population is relatively small. To overcome these limitations, varied L ranked set sampling (VLRSS) is recently introduced. It is shown that VLRSS scheme enjoys with many interesting properties over RSS and also encompasses several existing RSS schemes. In addition, it is also helpful for providing precise estimates of several population parameters. To fill this gap, this article extends the work and address the estimation of based ℛ on VLRSS when the strength and stress both follow exponential distribution. Maximum likelihood approach as well as Bayesian method are considered for estimating ℛ. The Bayes estimators are obtained by using gamma distribution under general entropy loss function and LINEX loss function. The performance of the estimators based on VLRSS are investigated by a simulation study as well as a real dataset relevant to industrial field. The results reveal that the proposed estimators are more efficient relative to their analogues estimators under L ranked set sampling given that the quality of ranking is fairly good.","PeriodicalId":42526,"journal":{"name":"Journal of Reliability and Statistical Studies","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46627527","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

Working Vacation Policy for Load Sharing K-out-of-N: G System N:G系统中K-out-of-G负载共享的工作休假策略

IF 0.8

Journal of Reliability and Statistical Studies Pub Date : 2022-09-30 DOI: 10.13052/jrss0974-8024.1528

Sudeep Kumar, Ritu Gupta

{"title":"Working Vacation Policy for Load Sharing K-out-of-N: G System","authors":"Sudeep Kumar, Ritu Gupta","doi":"10.13052/jrss0974-8024.1528","DOIUrl":"https://doi.org/10.13052/jrss0974-8024.1528","url":null,"abstract":"In industrial systems, the K-out-of-N: G system is a prominent type of redundancy. The load sharing protects such system from malfunctioning/destroying and avoids overload problem that affects the system reliability in a significant manner. In this paper we develop a Markovian model of load-sharing K-out-of-N: G system having non-identical repairable components wherein the server may on working vacation. During his vacation period, the server repairs the failed components with different service rates rather than completely terminating service rate. The failed component gets immediately repaired by the server if not on vacation, and unequal load is distributed among remaining surviving components. The lifetime of each component is load dependent followed by non-identical exponential distribution with different failure rates. The system is failed down due to common cause with failure density which is also exponentially distributed. We suggest closed structure analytic expressions for reliability, cost estimation and other performance measures of the load-sharing K-out-of-N: G repairable system by incorporating the concept of working vacation. For the solution aspiration, Runge-Kutta method is utilized to solve the system of differential equations. Furthermore, we perform the numerical analysis for two illustrations 1-out-of-3: G system and 3-out-of-4: G system. The numerical simulation is carried out for the validation of analytical results which are exhibited and compared by giving numerical outcomes and neuro-fuzzy outcomes based on fuzzy interference system with the help of MATLAB.","PeriodicalId":42526,"journal":{"name":"Journal of Reliability and Statistical Studies","volume":"1 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41972958","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

The Bayesian Reliability Analysis of the Alpha Power Gompertz Model Alpha幂Gompertz模型的贝叶斯可靠性分析

IF 0.8

Journal of Reliability and Statistical Studies Pub Date : 2022-09-30 DOI: 10.13052/jrss0974-8024.1529

J. T. Eghwerido, Suraju Olaniyi Ogundele, L. Nzei, F. Agu

引用次数: 0

Nanosensors, from fundamentals to Internet of Things deployments 纳米传感器，从基础到物联网部署

Journal of Reliability and Statistical Studies Pub Date : 2022-09-01 DOI: 10.1201/9781003337553-9

Bérengère Lebental

引用次数: 0

Stem Cells for Cardiac Repair 干细胞用于心脏修复

Journal of Reliability and Statistical Studies Pub Date : 2022-09-01 DOI: 10.1201/9781003339601-28

Philippe Menasché

引用次数: 0

Knowledge and Awareness of COVID-19 in Uttar Pradesh: An Exploratory Data Analysis 北方邦对新冠肺炎的认识和认识：探索性数据分析

IF 0.8

Journal of Reliability and Statistical Studies Pub Date : 2022-08-03 DOI: 10.13052/jrss0974-8024.1526

Prayas Sharma, N. K. Adichwal, A. K. Singh

{"title":"Knowledge and Awareness of COVID-19 in Uttar Pradesh: An Exploratory Data Analysis","authors":"Prayas Sharma, N. K. Adichwal, A. K. Singh","doi":"10.13052/jrss0974-8024.1526","DOIUrl":"https://doi.org/10.13052/jrss0974-8024.1526","url":null,"abstract":"Corona viruses, commonly called COVID-19, are a large family of viruses that can cause diseases ranging from the common cold to Severe Acute Respiratory Syndrome (SARS). Worldwide Covid-19 is affecting 210 countries and territories around the world and two international conveyances. As of 2 June 2020, there are 6,408,869 confirmed 2,935,368 recovered and 378,317 deaths cases has been reported in world of Coronavirus diseases, India is not untouched from this situation. Currently, it has reported infected 190,535 and 5,394 death cases due to COVID-19 in India. (https://covid19.who.int/region/searo/country/in). The COVID-19 pandemic was first confirmed in the Indian state of Uttar Pradesh on 4 March 2020, with the first positive case in Ghaziabad. As of 1 June 2020, the state has 8361 confirmed cases, resulting in 222 deaths and 5030 recoveries. The situation is getting worst day by day as COVID-19 outbreaks and patients are increasing by every minute and become the most important issue for the whole world and So accessing knowledge and awareness among the people is very important. The present study using the exploratory data analysis we tried to demonstrate the knowledge and awareness of individuals about the COVID-19 pandemic in Uttar Pradesh, the most populous state of India. The findings of the present study can be utilized by the researchers and policy makers to handle this worst situation.","PeriodicalId":42526,"journal":{"name":"Journal of Reliability and Statistical Studies","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45343255","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 a Stochastic Model with Rework System 随机返工系统模型分析

IF 0.8

Journal of Reliability and Statistical Studies Pub Date : 2022-08-03 DOI: 10.13052/jrss0974-8024.1527

M. Ram, Ganga Negi, Nupur Goyal, Anuj Kumar

{"title":"Analysis of a Stochastic Model with Rework System","authors":"M. Ram, Ganga Negi, Nupur Goyal, Anuj Kumar","doi":"10.13052/jrss0974-8024.1527","DOIUrl":"https://doi.org/10.13052/jrss0974-8024.1527","url":null,"abstract":"The demand in the present global industrial system, requires the challenge to meet the growing consumer capabilities and requirements constantly. So, there is always a need to improve different parameters, one of them being different types of failures involved in the working of different engineering systems related to communication systems, manufacturing goods, nuclear and hydro power plants, automobiles and many others. Human error occurring in the working of various systems has always been the challenge to the researchers and is being constantly worked upon by the researchers in the analysis and improvement of reliability and availability of different complex and multistate systems. In the present paper, there is a three-unit system consisting of the unit A with two subunits in parallel and other units B and C are connected in series with A. The authors have investigated and analysed different reliability measures like availability, MTTF and sensitivity taking into account the human failure and carrying out rework system. This research work aims at the study of reliability and availability measures of a multi-state system incorporating human error so as to increase the efficiency of industrial systems by taking maintenance and rework measures to enhance the availability factors. This would help to understand and estimate the reliability measures of any such systems in the field of telecommunication, any electronic devices like that in small power plants, robot systems and such others. Also, a comparison has been made between the availability and reliability estimates in the presence and in the absence of human error. The techniques used are Markov process, Laplace transformation and supplementary variable technique.","PeriodicalId":42526,"journal":{"name":"Journal of Reliability and Statistical Studies","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42270515","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

Classical and Bayesian Inference for the Inverse Lomax Distribution Under Adaptive Progressive Type-II Censored Data with COVID-19 新冠肺炎自适应渐进II型截尾数据下逆Lomax分布的经典和贝叶斯推理

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Journal of Reliability and Statistical Studies Pub Date : 2022-08-02 DOI: 10.13052/jrss0974-8024.1525

Rashi Hora, Naresh Chandra Kabdwal, Pulkit Srivastava

引用次数: 0

A Model for the State of Charge of a Battery Connected to a Wind Power Plant Under a Ramp Rate Limitation Regime 斜坡速率限制下与风力发电厂连接的电池充电状态模型

IF 0.8

Journal of Reliability and Statistical Studies Pub Date : 2022-07-27 DOI: 10.13052/jrss0974-8024.1522

G. D’Amico, F. Gismondi, Salvatore Vergine

引用次数: 2

Statistical Inference for Multi State Systems under the Generalized Modified Weibull Class 广义修正Weibull类下多态系统的统计推断