Nonparametric Density Estimation: The L1 View

封面
Wiley, 1985年1月18日 - 356 頁
The first systematic single-source examination of density estimates. It develops, from first principles, the ``natural'' theory for density estimation, L1, and shows why the classical L2 theory masks some fundamental properties of density estimates. Chapters comprehensively treat consistency, lower bounds for rates of convergence, rates of convergence in L1, the transformed kernel estimate, applications in discrimination, and estimators based on orthogonal series. All theorems are fully proven in rigorous, step-by-step detail. Additionally, the relevant recent literature is tied in with the more classic works of Parzen, Rosenblatt, and others.

搜尋書籍內容

讀者評論 - 撰寫評論

我們找不到任何評論。

內容

INTRODUCTION
1
CONSISTENCY
12
LOWER BOUNDS FOR RATES
35
版權所有

55 個其他區段未顯示

其他版本 - 查看全部

常見字詞

書目資訊