Numerical Methods for Statistical Computation

Numerical Methods for Statistical Computation: Theory Algorithms and Applications bridges numerical analysis with modern statistics offering a unified treatment of root-finding linear systems interpolation integration differential equations and optimization all within a statistical framework. Through detailed theory worked examples and real applications the book equips readers to solve complex statistical problems numerically. Designed for advanced undergraduates graduate students and researchers in statistics and data science it emphasizes both algorithmic understanding and statistical insight. With a strong pedagogical structure and extensive example sets this book serves as a comprehensive resource for statistical computation in theory and practice.