Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Chin Khian Yong"'
Autor:
CHIN KHIAN YONG1, ESKRIDGE, KENT M.1 keskridge1@unl.edu, CALKINS, CHRIS R.2, UMBERGER, WENDY J.3
Publikováno v:
Journal of Muscle Foods. Apr2010, Vol. 21 Issue 2, p224-242. 19p. 1 Diagram, 6 Charts, 1 Graph.
Publikováno v:
Applied Mechanics and Materials. :3335-3339
Utilising cost data from a block of medium cost apartments in Sungai Buloh, Malaysia, this pilot study aims to evaluate the cost significant elements (CSE) and their cost contributions (in percentages) to the total building cost (TBC) determined base
Publikováno v:
Journal of Muscle Foods. 21:224-242
A confounded factorial conjoint choice experiment was conducted with 12 University of Nebraska classes (six Animal Science and six Statistics classes) to examine the effects of price, country-of-origin labeling, marbling, tenderness guarantee, tracea
Publikováno v:
BioResources. 8
A Plackett-Burman design (PBD) combined with a steepest ascent approach is a powerful technique to screen the important operating parameters for the production of reducing sugars from sugarcane bagasse (SB). In this study, the most significant parame
Autor:
Chin Khian Yong
Publikováno v:
AIP Conference Proceedings.
A partially confounded factorial conjoint choice experiments design was used to examine the monetary value of the willingness to pay for E-book Reader's attributes. Conjoint analysis is an efficient, cost-effective, and most widely used quantitative
Autor:
Chin Khian Yong, Song Lin Ng
Publikováno v:
2012 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (STUDENT).
Conjoint choice experiments help researchers understand how people make complex judgments such as purchase decisions and product valuation by posing a series of choices about products or services. A respondent is asked to evaluate a series of choice
Publikováno v:
2012 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (STUDENT).
This project explored the potential of Bayesian Networks in modeling financial ratios of Malaysian plantation stocks. Financial ratio is a crucial part of fundamental analysis which involves analyzing a company's financial statements to gain insights