Statistical analysis of constrained data sets
β Scribed by Jay C. Knepper; John W. Gorman
- Publisher
- American Institute of Chemical Engineers
- Year
- 1980
- Tongue
- English
- Weight
- 628 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0001-1541
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
In the statistical analysis of near-infrared (NIR) data arising from the calibration of NIR instruments, two steps are often involved. The first one is data pretreatment, which usually refers to transformation of NIR spectra (e.g. the samples of predictor variables using statistical regression termi
this Book Combines The Authors' Experiences On The Topic And Brings Out A Wealth Of New Information Relevant To The Study Of Meta-analysis. Applications Ranging From Business To Education To Environment To Health Sciences In Both Univariate And Multivariate Cases Are Presented Alongside And Subservi
The di β erent characteristics between frequency domain and time domain analysis techniques are detailed for their application to in vivo MRS data sets. With the aim of quantitative analysis of MRS signals, i.e. estimation of parameters in the physical model function that describes the MRS experiment