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Elements of Large Sample Theory E Lehmann Springer is a mathematics available to read on EtoBox.
What is Elements of Large Sample Theory E Lehmann Springer about?
Elements of Large Sample Theory provides a unified treatment of first-order large-sample theory. It discusses a broad range of applications including introductions to density estimation, the bootstrap, and the asymptotics of survey methodology written at an elementary level. The book is suitable for students at the Master's level in statistics and in aplied fields who have a background of two years of calculus. E.L. Lehmann is Professor of Statistics Emeritus at the University of California, Ber
Who reads Elements of Large Sample Theory E Lehmann Springer?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Publisher
- Springer US
- Published
- 1999
- Language
- EN
- ISBN
- 9780387985954
- Category
- mathematics
- Subjects
- Mathematics, Stochastic Processes, Stem
- Updated
- 2026-03-24
Other editions & translations
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