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), allowing you to jump to specific theorems or definitions instantly. ), allowing you to jump to specific theorems
| Title | Author(s) | Key Features & Best For | Where to Access (PDF) | | :--- | :--- | :--- | :--- | | | J.N. Corcoran | Accessible approach for bridging math/stat backgrounds. Builds inference from scratch. | Online bookstores (physical) or library databases (PDF). | | Introduction to Mathematical Statistics (8th Ed.) | R. Hogg, J. McKean, A. Craig | Gold standard for a complete, rigorous, and proof-based course. Rich in examples/exercises. | Carlesto.com, vdoc.pub. | | Mathematical Statistics with Applications (7th Ed.) | D. Wackerly, W. Mendenhall, R. Scheaffer | Balances theory and practical problems . Excellent for students who want to see applications. | vdoc.pub. | | All of Statistics | Larry Wasserman | Modern and concise . Covers both classical inference and modern topics like bootstrapping, classification, and graphical models. | Springer's website (free PDF). | | Mathematical Statistics: Basic Ideas and Selected Topics | P. Bickel, K. Doksum | For advanced graduate-level work . Covers estimation, prediction, testing, and Bayesian analysis. | Perlego, vdoc.pub. | | A Concise Introduction to Mathematical Statistics | Dragi Anevski | Uses Riemann-Stieltjes integral , providing a unique and thorough approach for students with a strong calculus background. | Perlego. | | Fundamentals of Mathematical Statistics | S.C. Gupta, V.K. Kapoor | A comprehensive Indian textbook popular for exam preparation (GATE, etc.), covering all core topics in one volume. | Carlesto.com. | | Carlesto.com. |

