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Titlebook: Advances in Statistics - Theory and Applications; Honoring the Contrib Indranil Ghosh,N. Balakrishnan,Hon Keung Tony Ng Book 2021 Springer

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发表于 2025-3-21 18:39:47 | 显示全部楼层 |阅读模式
期刊全称Advances in Statistics - Theory and Applications
期刊简称Honoring the Contrib
影响因子2023Indranil Ghosh,N. Balakrishnan,Hon Keung Tony Ng
视频video
发行地址Features research topics inspired by the substantial contributions of Professor Barry C. Arnold to probability and statistics, in areas such as distribution theory, order statistics, stochastic proces
学科分类Emerging Topics in Statistics and Biostatistics
图书封面Titlebook: Advances in Statistics - Theory and Applications; Honoring the Contrib Indranil Ghosh,N. Balakrishnan,Hon Keung Tony Ng Book 2021 Springer
影响因子This edited collection brings together internationally recognized experts in a range of areas of statistical science to honor the contributions of the distinguished statistician, Barry C. Arnold. A pioneering scholar and professor of statistics at the University of California, Riverside, Dr. Arnold has made exceptional advancements in different areas of probability, statistics, and biostatistics, especially in the areas of distribution theory, order statistics, and statistical inference. As a tribute to his work, this book presents novel developments in the field, as well as practical applications and potential future directions in research and industry. It will be of interest to graduate students and researchers in probability, statistics, and biostatistics, as well as practitioners and technicians in the social sciences, economics, engineering, and medical sciences..
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How and Why Did Probability Theory Come About?rial below gives a limited list of references because the cast of characters is many, and their contributions are a part of the historical heritage of those of us who are interested in probability, statistics, and the many topics they have spawned.
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Assessment of Distributional Goodness-of-Fit for Modeling the Superposition of Renewal Process Dataparing different parametric distributions. The second procedure is based on a comparison of parametric and nonparametric estimates of the mean cumulative function (MCF) for the SRP recurrence data. These two procedures are illustrated by applications to both real and simulated SRP data.
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2524-7735 raduate students and researchers in probability, statistics, and biostatistics, as well as practitioners and technicians in the social sciences, economics, engineering, and medical sciences..978-3-030-62902-1978-3-030-62900-7Series ISSN 2524-7735 Series E-ISSN 2524-7743
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