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Titlebook: Applied Statistical Methods; ISGES 2020, Pune, In David D. Hanagal,Raosaheb V. Latpate,Girish Chandr Conference proceedings 2022 The Editor

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發(fā)表于 2025-3-21 17:06:07 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Applied Statistical Methods
期刊簡(jiǎn)稱ISGES 2020, Pune, In
影響因子2023David D. Hanagal,Raosaheb V. Latpate,Girish Chandr
視頻videohttp://file.papertrans.cn/161/160153/160153.mp4
發(fā)行地址Discusses the recently developed statistical methodologies and application in diversified disciplines.Highlights applications of a wide range of key topics in statistics.Contains contributions from le
學(xué)科分類Springer Proceedings in Mathematics & Statistics
圖書封面Titlebook: Applied Statistical Methods; ISGES 2020, Pune, In David D. Hanagal,Raosaheb V. Latpate,Girish Chandr Conference proceedings 2022 The Editor
影響因子.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.?.
Pindex Conference proceedings 2022
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Scott H. Decker Ph.D.,Dietrich Lester Smithm likelihood estimator of the system reliability is obtained based on upper records. Approximate Bayes estimators are also obtained using Lindley‘s approximation technique. The estimators are compared based on mean squares error criteria using simulation. The estimation procedures are illustrated using real data.
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Michael D. Maltz,Stephen K. Riceations on the independent variable, a calibration estimator is presented which has zero large sample asymptotic bias. The large sample efficiency properties of the calibration estimators are derived and analyzed assuming the random errors are not necessarily normally distributed.
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Conference proceedings 2022 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,
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Lecture Notes in Computer Scienceel under Benktander Gibrat (BG) distribution, also known as Benktander Type I distribution. Laplace transform, generalized exponential integrals, MeijerG function and Bromwich Integral are used to find ultimate ruin probability.
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