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The book is typically divided into two major divisions: and Statistical Methods , spanning roughly 950 pages. Key topics included are:

| Title | Author(s) | Where to Find | |-------|-----------|---------------| | Mathematical Statistics and Data Analysis | John A. Rice | Many university libraries (often available via open‑access repositories). | | Statistical Inference | George Casella & Roger Berger | Open‑access pre‑prints exist for many chapters. | | Asymptotic Theory of Statistics and Probability | A. W. van der Vaart | Free PDF on the author’s university page. | | The Elements of Statistical Learning | Hastie, Tibshirani, Friedman | Freely downloadable from the authors’ website (PDF). | | Bootstrap Methods and Their Application | A. C. Davison & D. V. Hinkley | PDF available via the University of Cambridge open‑access archive. | The book is typically divided into two major

: You can try searching for the book on online libraries or bookstores like Google Books, Amazon, or ResearchGate to see if a preview or a downloadable version is available. | | Statistical Inference | George Casella &