We propose multiple-objective Bayesian optimal designs for the logit model. As an example, we consider the design problem for estimating several percentiles with possibly unequal interest in each of the percentiles. Characteristics of these designs are studied and illustrated for the case when the i
✦ LIBER ✦
An optimal -statistics quantile estimator for a set of location–scale populations
✍ Scribed by Ling-Wei Li; Loo-Hay Lee; Chun-Hung Chen; Bo Guo; Ya-Jie Liu
- Book ID
- 116890548
- Publisher
- Elsevier Science
- Year
- 2012
- Tongue
- English
- Weight
- 235 KB
- Volume
- 82
- Category
- Article
- ISSN
- 0167-7152
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
Bayesian optimal designs for estimating
✍
Wei Zhu; Weng Kee Wong
📂
Article
📅
2000
🏛
John Wiley and Sons
🌐
English
⚖ 115 KB
👁 2 views
Estimating the quantile function of a lo
✍
A.K.Md.Ehsanes Saleh; M.Masoom Ali; Dale Umbach
📂
Article
📅
1983
🏛
Elsevier Science
🌐
English
⚖ 623 KB
Optimal spacing of the selected sample q
✍
Junjiro Ogawa
📂
Article
📅
1998
🏛
Elsevier Science
🌐
English
⚖ 124 KB
We are considering the ABLUE's -asymptotic best linear unbiased estimators -of the location parameter and the scale parameter of the population jointly based on a set of selected k sample quantiles, when the population distribution has the density of the form
Optimal spacings for the simultaneous es
✍
Junjiro Ogawa
📂
Article
📅
1977
🏛
Elsevier Science
🌐
English
⚖ 723 KB
Optimizing an observational network in e
✍
N. A. Rubichev; V. G. Sorokin
📂
Article
📅
1983
🏛
Springer US
🌐
English
⚖ 262 KB