✦ LIBER ✦

Comparison of factor analysis and curve-fitting for data analysis in XPS

✍ Scribed by M.F. Koenig; J.T. Grant

Publisher: Elsevier Science
Year: 1986
Tongue: English
Weight: 813 KB
Volume: 41
Category: Article
ISSN: 0368-2048
DOI: 10.1016/0368-2048(86)80036-6

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A comparison of some asymmetrical line s

A comparison of some asymmetrical line shapes for XPS data analysis

✍ E. Desimoni; G.I. Casella; T.R.I. Cataldi; C. Malitesta 📂 Article 📅 1989 🏛 Elsevier Science 🌐 English ⚖ 794 KB

Application of XPS and factor analysis f

Application of XPS and factor analysis for non-conducting materials

✍ Oswald, S.; Baunack, S. 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 471 KB 👁 1 views

Data analysis with multivariate mathematical methods is commonly used more and more also for applications in electron spectroscopy. This paper concerns the use of factor analysis in x-ray photoelectron spectroscopy and is focused on the problems occurring during investigations of non-conducting mate

A compilation and analysis of melting cu

A compilation and analysis of melting curve data for argon

✍ R.G. Crafton 📂 Article 📅 1971 🏛 Elsevier Science 🌐 English ⚖ 130 KB

Growth curve model analysis for quality

Growth curve model analysis for quality of life data

✍ Benny C. Zee 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 249 KB 👁 2 views

There is increasing interest in measuring health related quality of life in cancer clinical trials. Most quality of life data are measured repeatedly over a fixed time schedule to capture changes and to reflect relative advantages of study treatments. A multivariate repeated measures model is usuall

A comparison of principal component anal

A comparison of principal component analysis and factor analysis strategies for uncovering pleiotropic factors

✍ Xiaojing Wang; Candace M. Kammerer; Stewart Anderson; Jiang Lu; Eleanor Feingold 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 114 KB

## Abstract Principal component analysis (PCA) and factor analysis (FA) are often used to uncover genetic factors that contribute to complex disease phenotypes. The purpose of such an analysis is to distill a genetic signal from a large number of correlated phenotype measurements. That signal can t

Failure data analysis: the application o

Failure data analysis: the application of Excel spreadsheet add-ins as an aid to curve fitting

✍ E. G. John; R. I. Grosvenor 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 251 KB 👁 2 views

This paper describes the application of the Solver function contained within Microsoft Excel r to generate solutions to a range of common failure data analysis problems. The capability of the Solver function is demonstrated and employed to determine the appropriate Weibull distribution parameters fo