Computationally Intensive Statistics for Intelligent IoT [E-Book] / by Debabrata Samanta, Amit Banerjee.
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, statistic...
Saved in:
|
Full text |
|
| Personal Name(s): | Samanta, Debabrata, author |
| Banerjee, Amit, author | |
| Edition: |
1st edition 2021. |
| Imprint: |
Singapore :
Springer,
2021
|
| Physical Description: |
XX, 218 pages 53 illustrations, 11 illustrations in color (online resource) |
| Note: |
englisch |
| ISBN: |
9789811659362 |
| DOI: |
10.1007/978-981-16-5936-2 |
| Series Title: |
Studies in Autonomic, Data-driven and Industrial Computing
|
| Subject (LOC): |
|
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. |