✦ LIBER ✦

A Note on the Best Invariant Estimator of a Distribution Function Under the Kolmogorov-Smirnov Loss

✍ Scribed by Zhiqiang Chen; Eswar Phadia

Book ID: 111528932
Publisher: Springer Japan
Year: 1997
Tongue: English
Weight: 189 KB
Volume: 49
Category: Article
ISSN: 0020-3157
DOI: 10.1023/a:1003154627756

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Minimax invariant estimator of a continu

Minimax invariant estimator of a continuous distribution function under a general loss function

✍ Agnieszka Stępień-Baran 📂 Article 📅 2009 🏛 Springer 🌐 English ⚖ 168 KB

A note on a one-sided Kolmogorov-Smirnov

A note on a one-sided Kolmogorov-Smirnov test of fit for discrete distribution functions

✍ W. A. Coberly; T. O. Lewis 📂 Article 📅 1972 🏛 Springer Japan 🌐 English ⚖ 182 KB

Minimax invariant estimation of a contin

Minimax invariant estimation of a continuous distribution function under entropy loss

✍ Leila Mohammadi; Willem R. van Zwet 📂 Article 📅 2002 🏛 Springer 🌐 English ⚖ 109 KB

A note on the universal consistency of t

A note on the universal consistency of the kernel distribution function estimator

✍ José E. Chacón; Alberto Rodríguez-Casal 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 279 KB

A note on sequential estimation of the s

A note on sequential estimation of the size of a population under a general loss function

✍ Z.D. Bai; Mosuk Chow 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 78 KB

In estimating the size of a ÿnite population under a sequential sampling scheme where the stopping rule is to stop sampling when a ÿxed number of marked items are observed, it has been shown that the maximum likelihood estimator (MLE) does not have an explicit expression and is inadmissible under we

On the admissibility of an estimator of

On the admissibility of an estimator of a normal mean vector under a linex loss function

✍ Ahmad Parsian 📂 Article 📅 1990 🏛 Springer Japan 🌐 English ⚖ 431 KB