Theory of Point Estimation (Springer Texts in Statistics)
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Theory of Point Estimation (Springer Texts in Statistics)

by Erich L. Lehmann, George Casella

Mathematics statistics
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Theory of Point Estimation offers a rigorous mathematical treatment of point estimation in statistics. Written by Erich L. Lehmann and George Casella, this Springer Texts in Statistics volume provides an advanced foundation for readers studying statistical inference and the theory behind quantitative estimation.

About This Book

Theory of Point Estimation is a scholarly text focused on the mathematical theory of point estimation.

Written by Erich L. Lehmann and George Casella, the book belongs to the Springer Texts in Statistics series.

Its subject places it within statistics, mathematical inference, and advanced quantitative education.

The volume is suited to readers seeking a formal treatment of foundational ideas in statistical estimation.

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