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
Large Quantile Estimation in a Multivariate Setting
โ Scribed by L. Dehaan; X. Huang
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 430 KB
- Volume
- 53
- Category
- Article
- ISSN
- 0047-259X
No coin nor oath required. For personal study only.
โฆ Synopsis
An asymptotic theory is developed for the estimation of high quantile curves, i.e., sets of points in higher dimensional space for which the exeedance probability is (p_{n}), with (n p_{n} \rightarrow 0(n \rightarrow \infty)). Here (n) is the number of available observations. This is the situation of interest if one wants to protect against a calamity that has not yet occurred. Asymptotic normality of the estimated quantile curve is proved under appropriate conditions, including the domain of the attraction condition for multivariate extremes. 1995 Academic Press. Inc.
๐ SIMILAR VOLUMES
This study complements the existing literature on decision-making processes and outcomes in complex settings by exploring the impact of dierent types of complexity on risk strategies in a naturalistic setting. The study analyses a large sample of decisions made by individuals in UK ocourse betting m