✦ LIBER ✦

Application of Principal Component Analysis Method to Determine Prediction Indexes Sensibility Sequence

✍ Scribed by Yang Guo-liang; Wang Can-zhao; Wu Shi-yue; Jia Li-qing; Zhang Sheng-zhu

Book ID: 119355076
Publisher: Elsevier
Year: 2011
Tongue: English
Weight: 270 KB
Volume: 26
Category: Article
ISSN: 1877-7058
DOI: 10.1016/j.proeng.2011.11.2310

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

APPLICATION OF PROJECTION-PURSUIT PRINCI

APPLICATION OF PROJECTION-PURSUIT PRINCIPAL COMPONENT ANALYSIS METHOD TO CLIMATE STUDIES

✍ CHAN, JOHNNY C. L.; SHI, JIU-EN 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 194 KB 👁 2 views

Projection-pursuit (PP) principal component analysis (PCA) is a new statistical method that can deal with high-dimensional problems. In this paper, we show how this method can be applied to analyse regional monthly sea surface temperature and rainfall. Comparisons are made with results derived from

Application of principal component analy

Application of principal component analysis to determine the key structural features contributing to iron superoxide dismutase thermostability

✍ Yanrui Ding; Yujie Cai; Yonggang Han; Bingqiang Zhao; Lei Zhu 📂 Article 📅 2012 🏛 Wiley (John Wiley & Sons) 🌐 English ⚖ 399 KB

Application of principal component analy

Application of principal component analysis to simple determinations of brandies as a means of verifying quality

✍ Carmen Gómez-Cordovés; Begoña Bartolomé 📂 Article 📅 1993 🏛 Springer 🌐 English ⚖ 342 KB

Application of the Principal Components

Application of the Principal Components Method and the Proportional Hazards Regression Model to Analysis of Survival Data

✍ S. A. Danielyan; G. M. Zharinov; T. T. Osipova 📂 Article 📅 1986 🏛 John Wiley and Sons 🌐 English ⚖ 336 KB 👁 2 views

The application of Karhunen–Loéve, or pr

The application of Karhunen–Loéve, or principal component analysis method, to study the non-linear seismic response of structures

✍ Eugenio Gutiérrez; José Manuel Zaldivar 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 890 KB

Application of principal component analy

Application of principal component analysis to the prediction of lucerne forage protein content and in vitro dry matter digestibility by NIR spectroscopy

✍ Dominique Bertrand; Marc Lila; Vincent Furtoss; Paul Robert; Gerard Downey 📂 Article 📅 1987 🏛 John Wiley and Sons 🌐 English ⚖ 503 KB

## Application of principal component regression (PCR) was proposed for the development of a prediction equation of forage composition by near infra-red spectroscopy. PCR involves two steps: (a) the creation of new synthetic variables by principal component analysis (PCA) of spectral data, and (b)