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Design and Analysis of Experiments

Angela M. Dean

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Applied Probability

Kenneth Lange

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Theory of Point Estimation

Erich L. Lehmann

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Elements of Large-Sample Theory

E.L. Lehmann

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Applying Generalized Linear Models

James K. Lindsey

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Stat Labs : Mathematical Statistics Through Applications

Deborah Nolan

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Applied Regression Analysis : A Research Tool

John O. Rawlings

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Probability for Statisticians

Galen R. Shorack

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Mathematical Statistics : A Unified Introduction

George R. Terrell

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Applied Multivariate Analysis

Neil H. Timm

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Statistical Analysis of Designed Experiments

Helge Toutenburg

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Probability: A Graduate Course

Allan Gut

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Modeling Longitudinal Data

Robert E. Weiss

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An Introduction to Bayesian Analysis : Theory and Methods

Jayanta K. Ghosh

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Measure Theory and Probability Theory

Krishna B. Athreya

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Bayesian Core: A Practical Approach to Computational Bayesian Statistics

Jean-Michel Marin

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Matrix Algebra : Theory, Computations, and Applications in Statistics

James E. Gentle

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The Bayesian Choice : From Decision-Theoretic Foundations to Computational Implementation

Christian Robert

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Studying Human Populations : An Advanced Course in Statistics

Nicholas T. Longford

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Statistical Design

George Casella

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Asymptotic Theory of Statistics and Probability

Anirban DasGupta

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Statistical Models and Methods for Financial Markets

Tze Leung Lai

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A First Course in Bayesian Statistical Methods

Peter D. Hoff

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Theoretical Statistics : Topics for a Core Course

Robert W. Keener

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