Computationally Intensive Statistics for Intelligent IoT

The book covers computational statistics, methodologies, and applications for IoT devices, including computational arithmetic, numerical algorithms, computer systems, optimization techniques, and statistical graphics. It also explores computational inferencing, computer models, and their role in design of experiments, Bayesian analysis, survival analysis, and data mining.

Format: Paperback / softback
Length: 218 pages
Publication date: 06 October 2022
Publisher: Springer Verlag, Singapore

The book delves into the realm of computational statistics, encompassing its methodologies, applications, and significance in the realm of IoT devices. It provides comprehensive coverage in various areas, including computational arithmetic and its profound impact on computational statistics, numerical algorithms employed in statistical application software, foundational concepts of computer systems, statistical techniques, linear algebra, and its pivotal role in optimization techniques. The book also explores the evolution of optimization techniques, the optimal utilization of computer resources, and the crucial role of statistical graphics in data analysis. Furthermore, it delves into computational inferencing and the indispensable role of computer models in designing experiments, employing Bayesian analysis, conducting survival analysis, and exploring data mining in computational statistics. This comprehensive resource is designed to assist both professionals and students in advancing their understanding and expertise in this dynamic field.
The book comprehensively explores the field of computational statistics, encompassing its methodologies, applications, and profound implications in the realm of IoT devices. It provides a detailed examination of various areas, including computational arithmetic and its profound influence on computational statistics, the utilization of numerical algorithms in statistical application software, the fundamentals of computer systems, statistical techniques, linear algebra, and its pivotal role in optimization techniques. The book also delves into the evolution of optimization techniques, the efficient utilization of computer resources, and the crucial role of statistical graphics in data analysis. Furthermore, it explores computational inferencing and the indispensable role of computer models in designing experiments, employing Bayesian analysis, conducting survival analysis, and exploring data mining in computational statistics. This comprehensive resource is meticulously designed to cater to the needs of both professionals and students seeking to enhance their understanding and expertise in this dynamic field.

Weight: 373g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811659386
Edition number: 1st ed. 2021