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  1. Mathematical Statistics: A Unified Introduction (Springer Texts in Statistics)
  2. Mathematical Statistics: A Unified Introduction (Springer Texts in Statistics) (Repost)
  3. An Introduction to Bayesian Analysis: Theory and Methods (Springer Texts in Statistics)
  4. Elements of Large-Sample Theory (Springer Texts in Statistics)
  5. An R and S-Plus Companion to Multivariate Analysis (Springer Texts in Statistics)
  6. Optimization (Springer Texts in Statistics)
  7. Modeling Longitudinal Data (Springer Texts in Statistics)
  8. [share_ebook] A Modern Approach to Regression with R (Springer Texts in Statistics)
  9. An R and S-Plus Companion to Multivariate Analysis (Springer Texts in Statistics)
  10. An R and S-Plus Companion to Multivariate Analysis (Springer Texts in Statistics)
  11. A First Course in Bayesian Statistical Methods (Springer Texts in Statistics)
  12. Elements of Large-Sample Theory (Springer Texts in Statistics) (Repost)
  13. Time Series Analysis and Its Applications: With R Examples (Springer Texts in Statistics): Robert H. Shumway, David S. Stoffer
  14. Probability Theory: Independence, Interchangeability, Martingales (Springer Texts in Statistics)
  15. Special Functions of Mathematical Physics: A unified introduction with applications
  16. Mathematical Statistics (Springer Series in Statistics)
  17. Mathematical Statistics (Springer Series in Statistics)
  18. Mathematical Statistics: A Unified Introduction
  19. Bayesian Core: A Practical Approach to Computational Bayesian Statistics (Springer Texts in Statisti
  20. Introduction to Mathematical Statistics, 4th Edition, 1978

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