Journal of Reliability and Statistical Studies最新文献

{"title":"The Nexus of Climate Change and Land-use: The Global Scenario in Reference to Nepal","authors":"Medani P. Bhandari","doi":"10.1201/9781003495352-1","DOIUrl":"https://doi.org/10.1201/9781003495352-1","url":null,"abstract":"","PeriodicalId":42526,"journal":{"name":"Journal of Reliability and Statistical Studies","volume":"1 1","pages":"1-68"},"PeriodicalIF":0.0,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147922712","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}

{"title":"Interval Estimation of the Stress-Strength Reliability in Lehmann Family of Distributions","authors":"Sanju Scaria, Sibil Jose, Seemon Thomas","doi":"10.13052/jrss0974-8024.1622","DOIUrl":"https://doi.org/10.13052/jrss0974-8024.1622","url":null,"abstract":"This paper presents a unified approach for computing confidence limits for stress–strength reliability when strength and stress are independent random variables following a distribution in Lehmann family. The generalized confidence interval and the bootstrap confidence intervals are obtained. Simulation studies are conducted to assess the performance of the proposed methods in terms of the estimated coverage probabilities and the length of the confidence intervals. An example is also provided for illustration.","PeriodicalId":42526,"journal":{"name":"Journal of Reliability and Statistical Studies","volume":"81 4","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139156767","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}

{"title":"Mechanisms of Pathological Axonal Degeneration","authors":"Ying Cao, Jing Yang","doi":"10.1201/9781032632698-8","DOIUrl":"https://doi.org/10.1201/9781032632698-8","url":null,"abstract":"Pathological axonal degeneration is one of the common features of neurode-generative diseases, which can occur independently from neuronal cell death. By interrupting the functional or structural connectivity of neurocircuits, such axonal pathology can directly contribute to the onset and progression of clinical symptoms in patients. Therefore, delay or prevention of axonal damage is indispensable for effectively treating neurodegenerative diseases. Notably, pathological axonal degeneration is often distinct from several known types of programmed cell death, for example, apoptosis, necroptosis, or pyroptosis. Instead, this destructive process is intrinsically linked to energy metabolism, particularly the co-enzyme nicotinamide adenine dinucleotide (NAD+), within damaged axons. This book chapter reviews the history of the research field and highlights the landmark works elucidating the molecular mechanisms of pathological axonal degeneration. Also, critical questions that still await future investigations are discussed. As one of the unique structures of neurons, axons act as the bridge between neurons and their innervating targets. By transducing action potentials, axonal connections form the foundation for neural development and functions. As a result, the structural and functional integrity of axons is essential for various neurophysiological processes, for example, sense, motility, memory, and cognition. Conversely, damage or destruction of axons causes the abnormality or breakdown of corresponding neural circuits, leading to severe neuropathological defects such as numbness, pain, blindness, paralysis, ataxia, dementia, and even death. Through decades of research, pathological loss of axons has been documented as a hallmark feature in almost all types of neurodegenerative diseases, including Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, amyotrophic lateral sclerosis (also known as Lou Gehrig’s disease), multiple sclerosis, Guillain–Barré syndrome, Charcot–Marie–Tooth disease, glaucoma, traumatic neural injuries, and other types of central or peripheral neuropathy (Coleman, 2005; Coleman and Hoke, 2020; DiAntonio, 2019; Neukomm and Freeman, 2014; Wang et al., 2012). Further, it has become increasingly recognized that pathological axonal degeneration contributes to the onset and progression of clinical symptoms by directly interfering with normal neural functions. Therefore, molecular mechanisms underlying pathological axonal degeneration are integral to neurodegeneration, and preserving axonal structures inflicted by neurodegenerative insults should be indispensable for effective strategies to prevent, delay, or revert disease symptoms. Research in the past decades has achieved some of the most important and exciting breakthroughs in unraveling pathological axonal degeneration. Such advances have opened up a new dimension to our understanding of this unique axonal pathology and neurodegenerative diseases in general. This book","PeriodicalId":42526,"journal":{"name":"Journal of Reliability and Statistical Studies","volume":"1 1","pages":"215-250"},"PeriodicalIF":0.0,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147892609","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}

{"title":"Zero Trust – The Networking Level","authors":"Tom Madsen","doi":"10.1201/9781003464587-3","DOIUrl":"https://doi.org/10.1201/9781003464587-3","url":null,"abstract":"","PeriodicalId":42526,"journal":{"name":"Journal of Reliability and Statistical Studies","volume":"1 1","pages":"21-42"},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147917839","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}

{"title":"Parameters Estimation of the Exponentiated Chen Distribution Based on Upper Record Values","authors":"Farhad Yousaf, Sajid Ali, Ismail Shah, Saba Riaz","doi":"10.13052/jrss0974-8024.16110","DOIUrl":"https://doi.org/10.13052/jrss0974-8024.16110","url":null,"abstract":"This article discusses the Bayesian and frequentist inferences for the exponentiated Chen distribution assuming upper record values. Due to unavailability of the compact form of marginal posterior distributions, a Markov Chain Monte Carlo algorithm is designed to compute the posterior summaries. Prediction of future record values under Bayesian and frequentist methods is also discussed mathematically and numerically. Further, a sensitivity analysis to assess the effect of prior on the estimated parameters is also a part of this study. Besides the simulation studies, the importance of the present study is illustrated with the help of a real data example. It is noted that the Bayes estimates outperform the frequentist inference.","PeriodicalId":42526,"journal":{"name":"Journal of Reliability and Statistical Studies","volume":"3 4","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138980517","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}

{"title":"The Predicted Failure on A Two-Dimensional Warranty Using the Bayesian Approach","authors":"Valeriana Lukitosari, S. D. Surjanto, Sena Safarina, Komar Baihaqi, Sri Irna Solihatun Ummah","doi":"10.13052/jrss0974-8024.1619","DOIUrl":"https://doi.org/10.13052/jrss0974-8024.1619","url":null,"abstract":"Traditionally, the warranty cost is assumed to be the cost of repairs based on the average cost that arises from a damage claim. Several studies have considered the Least Square and Maximum Likelihood Estimation methods in estimating the parameters of the failure distribution. However, this study uses the Bayesian method using the posterior distribution obtained from the prior distribution and the likelihood function. The Bayesian approach is more optimal to use in estimating parameters because it has the smallest value of Aikaike’s Information Criterion (AIC) compared to other methods. Failure expectations that are close to natural can be used to analyze survival to determine how long a product will last before the failure. The numerical example in this study, is the type of motorcycle with an engine capacity of 125 CC with the Weibull distribution, while the 150 CC and 160 CC with Exponential distribution. The novelty in this study is that the free repair approach in two-dimensional can be anticipated with failure considering the dimensions of age and mileage.","PeriodicalId":42526,"journal":{"name":"Journal of Reliability and Statistical Studies","volume":"42 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139211332","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}

{"title":"An Effective Approach for Solving Multi-objective Transportation Problem","authors":"Lakhveer Kaur, Sukhveer Singh, Ashok Singh Bhandari, Sandeep Singh, M. Ram","doi":"10.13052/jrss0974-8024.1618","DOIUrl":"https://doi.org/10.13052/jrss0974-8024.1618","url":null,"abstract":"In this present study, a transportation problem is considered such that the total cost and time of transportation are minimized without taking into account their priorities. In literature, there are less techniques available for finding the efficient solutions of multi-objective transportation problem. So, we developed a heuristic algorithm to find most efficient solution of multi-objective transportation problem, which gives efficient solution with minimum difference from ideal solution. Firstly, we aim at formulating a multi-objective transportation problems along with a novel algorithm to find efficient solutions. The proposed algorithm gives optimal solution faster in comparison to other available techniques in literature for the given multi-objective transportation problem. Moreover, it avoids the degeneracy as well as requires low computational effort. Furthermore, an illustrative example is provided to show the feasibility and applicability of the proposed approach and compare the results with the existing approaches to show the effectiveness of it.","PeriodicalId":42526,"journal":{"name":"Journal of Reliability and Statistical Studies","volume":"4 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139210741","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}

{"title":"Heuristical Approach for Optimizing Population Mean Using Ratio Estimator in Stratified Random Sampling","authors":"G. Triveni, Faizan Danish","doi":"10.13052/jrss0974-8024.1617","DOIUrl":"https://doi.org/10.13052/jrss0974-8024.1617","url":null,"abstract":"In this study, we have developed a Ratio type estimator in Stratified sampling to estimate the population average of study variable by using the information of a concomitant variable. By utilizing Taylor’s series, we have derived the expressions for Bias and MSE upto first degree of approximation. In numerical illustration, employing a real data set, we have demonstrated that the proposed estimator has highest Percentage relative efficiency when compared to the considered existing estimatrs. Furthermore, we have demonstrated that Separate ratio type estimators have the highest relative efficiency when contrasted with the Combined ratio type estimators.","PeriodicalId":42526,"journal":{"name":"Journal of Reliability and Statistical Studies","volume":"18 2","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139255118","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}

{"title":"Managing Carbon Foot Prints in Supply Chain for Imperfect Quality Items","authors":"Sahil Bhardwaj, Mandeep Mittal, Riju Chaudhary","doi":"10.13052/jrss0974-8024.1616","DOIUrl":"https://doi.org/10.13052/jrss0974-8024.1616","url":null,"abstract":"Producing 100% high-quality items is a challenging task in today’s era, which often results in the delivery of defective products. Therefore, inspecting the lot becomes a necessity. This paper investigates the impact of environmental concerns on the inventory model by incorporating fuel costs and emission taxes. The objective of the study is to minimize the expected total cost and determine the optimal order quantity. The study includes a numerical example with sensitivity analysis to determine the model’s robustness. The findings of the study indicate that minimizing emissions also reduces the expected total cost. The paper highlights the significance of considering environmental concerns in inventory management. The study highlights the importance of addressing environmental issues in inventory management and provides a framework for minimizing costs while considering the impact on the environment.","PeriodicalId":42526,"journal":{"name":"Journal of Reliability and Statistical Studies","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135553013","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}

{"title":"Benchmarking Neuromorphic Computing for Inference","authors":"Simon Narduzzi, Loreto Mateu, Petar Jokic, Erfan Azarkhish, Andrea L. Dunbar","doi":"10.1201/9781003377382-1","DOIUrl":"https://doi.org/10.1201/9781003377382-1","url":null,"abstract":"In the last decade, there has been significant progress in the IoT domain due to the advances in the accuracy of neural networks and the industrialization of efficient neural network accelerator ASICs. However, intelligent devices will need to be omnipresent to create a seamless consumer experience. To make this a reality, further progress is still needed in the low-power embedded machine learning domain. Neuromorphic computing is a technology suited to such low-power intelligent sensing. However, neuromorphic computing is hampered today by the fragmentation of the hardware providers and the difficulty of embedding and comparing the algorithms’ performance. The lack of standard key performance indicators spanning across the hardware-software domains makes it difficult to benchmark different solutions for a given application on a fair basis. In this paper, we summarize the current benchmarking solutions used in both hardware and software for neuromorphic systems, which are in general applicable to low-power systems. We then discuss the challenges in creating a fair and user-friendly method to benchmark such systems, before suggesting a clear methodology that includes possible key performance indicators.","PeriodicalId":42526,"journal":{"name":"Journal of Reliability and Statistical Studies","volume":"1 1","pages":"1-19"},"PeriodicalIF":0.0,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://api.taylorfrancis.com/content/chapters/oa-edit/download?identifierName=doi&identifierValue=10.1201/9781003377382-1&type=chapterpdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147914684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}