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Instead, leverage university library portals, interlibrary loan, or purchase a used hardcopy. Use the PDF legitimately if it is provided through your course. Remember: The goal is not merely to possess the file, but to internalize the mathematics. A legitimate copy with clean formatting, errata corrections, and full respect for the author will serve your PhD journey far better than a blurry, illegal scan. mathematical statistics jun shao pdf
| Shao Topic | Easier source | |------------|----------------| | UMVUE via Lehmann-Scheffé | Statistical Inference (Casella & Berger) Ch. 7 | | Locally most powerful tests | Testing Statistical Hypotheses (Lehmann & Romano) Ch. 3 | | Differentiable statistical functionals | Asymptotic Statistics (van der Vaart) Ch. 20 | | Empirical process theory | All of Nonparametric Statistics (Wasserman) Ch. 5 | A plain PDF alone won’t make you a master