Elements of Large-Sample Theory (Springer Texts in Statistics)
E.L. Lehmann
- 出版商: Springer
- 出版日期: 2010-11-19
- 售價: $4,840
- 貴賓價: 9.5 折 $4,598
- 語言: 英文
- 頁數: 632
- 裝訂: Paperback
- ISBN: 1441931368
- ISBN-13: 9781441931368
-
相關分類:
機率統計學 Probability-and-statistics
海外代購書籍(需單獨結帳)
買這商品的人也買了...
-
科技論文英語寫作$650$585 -
High-Dimensional Probability: An Introduction with Applications in Data Science (Hardcover)$1,650$1,617 -
Oracle Inequalities in Empirical Risk Minimization and Sparse Recovery Problems: École d’Été de Probabilités de Saint-Flour XXXVIII-2008 (Lecture Notes in Mathematics)$3,470$3,297 -
High-Dimensional Statistics: A Non-Asymptotic Viewpoint (Hardcover)$1,680$1,646 -
Quantile Regression$2,360$2,242 -
Mathematical Foundations of Infinite-Dimensional Statistical Models (Paperback)$2,400$2,280 -
AI 時代的提問力 Prompt Literacy：精準提問、正確下指令，善用AI的最大潛力！$450$356
商品描述
Written by one of the main figures in twentieth century statistics, this book 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. The book is written at an elementary level making it accessible to most readers.
