Springer Series in Statistics Ser.: Asymptotic Methods in Statistical ...
Springer-Verlag New York Inc.
Unlock advanced statistical concepts with "Asymptotic Methods in Statistical Decision Theory" by Lucien Le Cam. This comprehensive hardcover book, a first edition, delves into the intricacies of statistical decision theory with a focus on asymptotic methods. Originally developed from lectures at the University of California, Berkeley, it presents a unique approach organized around central ideas, moving from the general to the particular to emphasize fundamental concepts. Ideal for those with a background in statistical thinking and methodology, this 742-page volume requires mathematical maturity and familiarity with concepts presented in standard statistical texts. It explores foundational structures like Blackwell's 'experiments' and 'transitions,' offering an abstract view of observational processes. Key features: * Comprehensive exploration of asymptotic methods in statistical decision theory. * Structured learning from general principles to specific applications. * Suitable for readers with statistical and mathematical backgrounds. * Detailed analysis of experimental structures and transitions. This English language edition is a vital resource for statisticians and researchers seeking to deepen their understanding of theoretical statistics and decision-making processes.
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