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Applications in Reliability and Statistical Computing by Hoang Pham is a nonfiction available to read on EtoBox.
What is Applications in Reliability and Statistical Computing about?
This book discusses practical applications of reliability and statistical methods and techniques in various disciplines, using Machine Learning, Artificial Intelligence, optimization, and other computation methods. Bringing together research from international experts, each chapter aims to cover both methods and practical aspects on reliability or statistical computations with emphasis on applications. 5G and IoT are set to generate an estimated 1 billion terabytes of data by 2025 and companies continue to search for new techniques and tools that can help them practice data collection effectively in promoting their business. This book explores the era of Big Data through reliability and statistical computing, showcasing how almost all applications in our daily life have experienced a dramatic shift in the past two decades to a truly global industry. The requirement for Software Reliability Growth Models (SRGMs) has increased exponentially in response to the growing demand for strong and reliable software systems. During the testing phase of the Software Development Life Cycle (SDLC), SRGMs are particularly effective for estimating fault content, minimizing testing expenses, and max
Who reads Applications in Reliability and Statistical Computing?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Hoang Pham
- Publisher
- Springer International Publishing : Imprint: Springer
- Published
- 2023
- Language
- EN
- ISBN
- 9783031212321
- Category
- nonfiction
- Subjects
- Management, Mathematics, Engineering
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