Springer Series in Statistics Series
This series serves as a comprehensive resource for advanced statistical theories and methodologies. It delves into a wide spectrum of topics, ranging from fundamental theoretical concepts to practical applications across diverse scientific disciplines. Aimed at researchers, academics, and students, it offers deep insights and cutting-edge approaches in the field of statistics. Each volume contributes original research and valuable perspectives to the ever-evolving landscape of statistical science.
Recommended Reading Order
The bootstrap and Edgeworth expansion
- 372 pages
- 14 hours of reading
Statistical methods in software engineering
- 316 pages
- 12 hours of reading
In establishing a framework for dealing with uncertainties in software engineering, and for using quantitative measures in related decision-making, this text puts into perspective the large body of work having statistical content that is relevant to software engineering. Aimed at computer scientists, software engineers, and reliability analysts who have some exposure to probability and statistics, the content is pitched at a level appropriate for research workers in software reliability, and for graduate level courses in applied statistics computer science, operations research, and software engineering.