Theory of Point Estimation (Springer Texts in Statistics)
by Erich L. Lehmann, George Casella
A rigorous graduate text covering unbiasedness, sufficiency, efficiency, and decision theory for point estimators in statistics.
About This Book
Theory of Point Estimation presents core principles and methods used in statistical estimation.
The text covers unbiasedness, sufficiency, and efficiency within parametric models.
Readers encounter decision-theoretic frameworks and asymptotic results for estimators.
Examples and proofs illustrate key theorems throughout the chapters.
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