| 书目名称 | Computationally Intensive Statistics for Intelligent IoT |
| 编辑 | Debabrata Samanta,Amit Banerjee |
| 视频video | |
| 概述 | Covers computational statistics, its methodologies and applications for IoT device.Explores computational inferencing and computer model‘s role in design of experiments.Serves as a reference for resea |
| 丛书名称 | Studies in Autonomic, Data-driven and Industrial Computing |
| 图书封面 |  |
| 描述 | .The book covers computational statistics, its methodologies and applications for IoT device. It includes the details in the areas of computational arithmetic and its influence on computational statistics, numerical algorithms in statistical application software, basics of computer systems, statistical techniques, linear algebra and its role in optimization techniques, evolution of optimization techniques, optimal utilization of computer resources, and statistical graphics role in data analysis. It also explores computational inferencing and computer model‘s role in design of experiments, Bayesian analysis, survival analysis and data mining in computational statistics.. |
| 出版日期 | Book 2021 |
| 关键词 | Computational Arithmetic For Intelligent IoT; Numerical Software For Statistical Applications; Interne |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-16-5936-2 |
| isbn_softcover | 978-981-16-5938-6 |
| isbn_ebook | 978-981-16-5936-2Series ISSN 2730-6437 Series E-ISSN 2730-6445 |
| issn_series | 2730-6437 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
发表于 2025-3-21 19:23:47
