頁籤選單縮合
題 名 | Testing Dynamic Rules of Animal Cognitive Processing with Longitudinal Distribution Data |
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作 者 | Hsieh, Fushing; Horng, Shwu-bin; Lin, Hui-ying; Lan, Yen-chiu; | 書刊名 | Statistica Sinica |
卷 期 | 17:2 2007.04[民96.04] |
頁 次 | 頁735-748 |
分類號 | 319.5 |
關鍵詞 | Egg-distribution data; Goodness-of-fit test; Martingale central limit theory; Maximum likelihood approach; Receiver operating characteristic curve; ROC curve; |
語 文 | 英文(English) |
英文摘要 | Identifying the cognitive capacity used by an animal to resolve its foraging task when facing ever-changing environmental conditions is a recent, central issue in behavioral ecology and cognitive science. Statistical confirmation of potential capacity through analysis of individual behavioral processes becomes an important research topic. New longitudinal data arise as a sequence of global quality distributions, representing sparely observed environmental dynamics. Such dynamics result from an individual animal’s decision-making process as it explores a patch that consists of a fixed amount of hosts. Three dynamic rules having distinct degrees of cognitive of goodness-of-fit, two tests statistics are proposed for capturing different aspects of dynamic changes in the environmental. It is found that the test that best embraces the concept of distribution via the receiver operating characteristic (ROC) curve performs quite well. |
本系統中英文摘要資訊取自各篇刊載內容。