应用统计方法：ISGES 2020，印度浦那，1月2日至4日

这本书收集了标准杆数在2—2020年1月4日在印度马哈拉施特拉浦那大学数学与统计系举行的国际新兴统计中的重要贡献（ISSGE 2020）。它讨论了统计领域的最新发展，并应用了广泛的关键主题，包括小面积估计技术、小面积贝叶斯模型、排名集抽样、模糊供应链、概率供应链模型、动态高斯过程模型、灰色关联分析和多项目库存模型等。还讨论了其他模型的可能用途，包括广义林德利共享脆弱性模型、Benktander-Gibrat风险模型、智能设计的决策一致性随机化方法和不同的可靠性模型。这本书包括详细的工作实例和案例研究，说明了最近开发的统计方法的应用，使其成为应用统计学家、学生、研究项目负责人和来自各种边缘学科和跨学科研究的实践者的宝贵资源。
Applied Statistical Methods: ISGES 2020, Pune, India, January 2–4
This book collects select contributions presented at the International Conference on Importance of Statistics in Global Emerging (ISGES 2020) held at the Department of Mathematics and Statistics, University of Pune, Maharashtra, India, from 2–4 January 2020. It discusses recent developments in several areas of statistics with applications of a wide range of key topics, including small area estimation techniques, Bayesian models for small areas, ranked set sampling, fuzzy supply chain, probabilistic supply chain models, dynamic Gaussian process models, grey relational analysis and multi-item inventory models, and more. The possible use of other models, including generalized Lindley shared frailty models, Benktander Gibrat risk model, decision-consistent randomization method for SMART designs and different reliability models are also discussed. This book includes detailed worked examples and case studies that illustrate the applications of recently developed statistical methods, making it a valuable resource for applied statisticians, students, research project leaders and practitioners from various marginal disciplines and interdisciplinary research.

OR