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The latest content from StatisticsViews.http://www.statisticsviews.comGenerally weighted moving average monitoring schemes: Overview and perspectives
http://www.statisticsviews.com/details/journalArticle/11267708/Generally-weighted-moving-average-monitoring-schemes-Overview-and-perspectives.html
Abstract An overview of monitoring schemes from a class called generally weighted moving average (GWMA) is provided. A GWMA scheme is an extended version of the exponentially weighted moving average (EWMA) scheme with an additional adjustment parameter that introduces more flexibility in the GWMA model as it adjusts the kurtosis of the weighting function so that the GWMA scheme can be designed such that it has an advantage over the corresponding EWMA scheme in the detection of certain shift...]]>2020-09-24T15:02:05ZChaotic neural network model for SMISs reliability prediction based on interdependent network SMISs reliability prediction by chaotic neural network
http://www.statisticsviews.com/details/journalArticle/11267707/Chaotic-neural-network-model-for-SMISs-reliability-prediction-based-on-interdepe.html
Abstract With the development of industrial Internet, smart manufacturing information systems (SMISs) are faced with more uncertainties, dynamics, and complexity. These problems bring more challenges to the reliability operation of SMISs. To solve the above problem, a prediction model based on phase space reconstruction, chaos analysis, and back propagation (BP) neural network is proposed to predict SMISs reliability. First, we decompose failure data series into some subdata series components...]]>2020-09-24T14:57:37ZGlobal lockdown: An effective safeguard in responding to the threat of COVID‐19
http://www.statisticsviews.com/details/journalArticle/11267706/Global-lockdown-An-effective-safeguard-in-responding-to-the-threat-of-COVID19.html
Abstract Rationale, aims, and objectives The recent outbreak of coronavirus (COVID‐19) has infected around 1 560 000 individuals till 10 April 2020, which has resulted in 95 000 deaths globally. While no vaccine or anti‐viral drugs for COVID‐19 are available, lockdown acts as a protective public health measures to reduce human interaction and lower transmission. The study aims to explore the impact of delayed planning or lack of planning for the lockdown and inadequate implementation of the...]]>2020-09-24T13:14:41ZSimultaneous monitoring of origin and scale of a shifted exponential process with unknown and estimated parameters
http://www.statisticsviews.com/details/journalArticle/11267489/Simultaneous-monitoring-of-origin-and-scale-of-a-shifted-exponential-process-wit.html
Abstract The distribution of consumer lifetimes, high‐voltage of current in semiconductor transistors, and the risk associated with monitoring health care often come with a threshold. A two‐parameter (or shifted) exponential distribution is, in general, regarded as a better statistical model in such situations compared with a traditional (one‐parameter) exponential model. Research on inferential problems associated with two‐parameter exponential distributions, including monitoring schemes for...]]>2020-09-24T07:04:37ZValuing Real Options in the Volatile Real World
http://www.statisticsviews.com/details/journalArticle/11267529/Valuing-Real-Options-in-the-Volatile-Real-World.html
Motivated by the real‐world challenges of real options evaluation faced by many companies when commodity prices exhibit dramatic volatility and project values can become negative, this study presents a framework for solving a multifactor real options problem by approximating the underlying stochastic process of project value with a generalized implied binomial tree. The proposed approach allows a flexible structure for stochastic processes with fat tail distributions, such as jump diffusion,...]]>2020-09-23T16:28:08ZModeling cross‐border supply chain collaboration: the case of the Belt and Road Initiative
http://www.statisticsviews.com/details/journalArticle/11267486/Modeling-crossborder-supply-chain-collaboration-the-case-of-the-Belt-and-Road-In.html
Abstract The Belt and Road Initiative (BRI) has resulted in international, cross‐border supply chains returning to a new prominence. The BRI presents opportunities for cross‐border supply chain collaboration (SCC) research. Assessing the influencing factors of cross‐border SCC is beneficial for understanding and improving this evolving, globally influential international trade policy. The BRI is quite complex so that subjective assessment methods are useful but need to be improved. To address...]]>2020-09-23T14:55:34ZTesting inflated zeros in binomial regression models
http://www.statisticsviews.com/details/journalArticle/11267484/Testing-inflated-zeros-in-binomial-regression-models.html
Abstract Binomial regression models are commonly applied to proportion data such as those relating to the mortality and infection rates of diseases. However, it is often the case that the responses may exhibit excessive zeros; in such cases a zero‐inflated binomial (ZIB) regression model can be applied instead. In practice, it is essential to test if there are excessive zeros in the outcome to help choose an appropriate model. The binomial models can yield biased inference if there are...]]>2020-09-23T12:34:55ZA compound optimality criterion for D‐efficient and separation‐robust designs for the logistic regression model
http://www.statisticsviews.com/details/journalArticle/11267488/A-compound-optimality-criterion-for-Defficient-and-separationrobust-designs-for-.html
Abstract The DMP‐criterion is proposed to generate optimal designs for the logistic regression model with reduced separation probabilities. This compound criterion has two components: (a) the D‐efficiency of the candidate design and (b) a penalty term that captures the average distance of the candidate design's support points from the region of maximum prediction variance (MPV). A DMP‐optimal design maximizes the DMP‐criterion. The aim is to obtain compromise experimental designs with high...]]>2020-09-23T08:44:37ZOn two fundamental approaches for reliability improvement and risk reduction by using algebraic inequalities
http://www.statisticsviews.com/details/journalArticle/11267490/On-two-fundamental-approaches-for-reliability-improvement-and-risk-reduction-by-.html
Abstract The paper introduces two fundamental approaches for reliability improvement and risk reduction by using nontrivial algebraic inequalities: (a) by proving an inequality derived or conjectured from a real system or process and (b) by creating meaningful interpretation of an existing nontrivial abstract inequality relevant to a real system or process. A formidable advantage of the algebraic inequalities can be found in their capacity to produce tight bounds related to...]]>2020-09-23T08:44:34ZAn effective evidence theory‐based reliability analysis algorithm for structures with epistemic uncertainty
http://www.statisticsviews.com/details/journalArticle/11267491/An-effective-evidence-theorybased-reliability-analysis-algorithm-for-structures-.html
Abstract The purpose of this article is to develop an effective method to evaluate the reliability of structures with epistemic uncertainty so as to improve the applicability of evidence theory in practical engineering problems. The main contribution of this article is to establish an approximate semianalytic algorithm, which replaces the process of solving the extreme value of performance function and greatly improve the efficiency of solving the belief measure and the plausibility measure....]]>2020-09-23T08:44:29Z