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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/4433
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Title: | Multivariate Application Domains for the Delta Method |
Authors: | Mexia, João Nunes, Célia Oliveira, Manuela |
Editors: | Austin, Robert H. Crespi, Vincent H. Johnson Jr, A.T. Charlie Tanaka, Masaaki Wang, Enge G. Alavi, Saman Arenholz, Elke Biercuk, Michael J. Carter, Troy A. Detavernier, Detavernier Endo, Yasuki Gadre, Shridhar R. Gao, Fei Gerstman, Bernard S. Hone, James C. Huang, Liang Li, Jingjing Michaelides, Angelos Mockensturm, Eric M. Mondal, Partha P. Paluch, Marian Prellier, Wilfrid Xie, Xin-Cheng Xue, Qi-Kun Theodore, E. Simos Psihoyios, George Tsitouras, Ch. Zacharias, Anastassi |
Keywords: | Delta method asymptotic linearity normal case. |
Issue Date: | 2011 |
Publisher: | American Institute of Physics. |
Abstract: | Given statistics with components Yi = gi(μ +X), i = 1, ...,m, and domains D such that, when μ ∈ D, distributions derived applying to Delta method may be used. The case in which X is normal is singled out. Then the approximate distributions are normal and may be applied in situations with high non-centrality parameter Δ = μtΣ−1μ where Σ is the variance-covariance matrix of X. |
URI: | http://hdl.handle.net/10174/4433 http://proceedings.aip.org/dbt/dbt.jsp?KEY=APCPCS&Volume=1389&Issue=1 |
ISBN: | 978-0-7354-0956-9 |
Type: | article |
Appears in Collections: | CIMA - Artigos em Livros de Actas/Proceedings
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