scholarly journals Use of multivariate factor analysis to define new indicator variables for milk composition and coagulation properties in Brown Swiss cows

2012 ◽  
Vol 95 (12) ◽  
pp. 7346-7354 ◽  
Author(s):  
N.P.P. Macciotta ◽  
A. Cecchinato ◽  
M. Mele ◽  
G. Bittante
Keyword(s):  
Factor Analysis ◽  
Milk Composition ◽  
Brown Swiss ◽  
Indicator Variables ◽  
Multivariate Factor Analysis

scholarly journals Multivariate factor analysis of Girgentana goat milk composition

2005 ◽  
Vol 4 (4) ◽  
pp. 403-410 ◽  
Author(s):  
Massimo Todaro ◽  
Maria Luisa Scatassa ◽  
Pietro Giaccone
Keyword(s):  
Factor Analysis ◽  
Goat Milk ◽  
Milk Composition ◽  
Multivariate Factor Analysis

Investigating mutual relationship among milk fatty acids by multivariate factor analysis in dairy cows

2016 ◽  
Vol 188 ◽  
pp. 124-132 ◽  
Author(s):  
G. Conte ◽  
A. Serra ◽  
P. Cremonesi ◽  
S. Chessa ◽  
B. Castiglioni ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Factor Analysis ◽  
Dairy Cows ◽  
Mutual Relationship ◽  
Milk Fatty Acids ◽  
Multivariate Factor Analysis

scholarly journals Empirical Approach to Developing an Optimal Socioeconomic Status Index for Health Surveillance

2022 ◽  
Author(s):  
Jordana LaFantasie ◽  
Francis Boscoe
Keyword(s):  
Socioeconomic Status ◽  
Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Health Surveillance ◽  
Cancer Surveillance ◽  
Income Poverty ◽  
One Dimensional ◽  
Indicator Variables ◽  
Statistical Consistency

The association between multi-dimensional deprivation and public health is well established, and many area-based indices have been developed to measure or account for socioeconomic status in health surveillance. The Yost Index, developed in 2001, has been adopted in the US for cancer surveillance and is based on the combination of two heavily weighted (household income, poverty) and five lightly weighted (rent, home value, employment, education and working class) indicator variables. Our objectives were to 1) update indicators and find a more parsimonious version of the Yost Index by examining potential models that included indicators with more balanced weights/influence and reduced redundancy and 2) test the statistical consistency of the factor upon which the Yost Index is based. Despite the usefulness of the Yost Index, a one-factor structure including all seven Yost indicator variables is not statistically reliable and should be replaced with a three-factor model to include the true variability of all seven indicator variables. To find a one-dimensional alternative, we conducted maximum likelihood exploratory factor analysis on a subset of all possible combinations of fourteen indicator variables to find well-fitted one-dimensional factor models and completed confirmatory factor analysis on the resulting models. One indicator combination (poverty, education, employment, public assistance) emerged as the most stable unidimensional model. This model is more robust to extremes in local cost of living conditions, is comprised of ACS variables that rarely require imputation by the end-user and is a more parsimonious solution than the Yost index with a true one-factor structure.

Environment-Based Strategic Management Model for Indonesia’s Medium-Sized Shipyards

2006 ◽  
Vol 22 (04) ◽  
pp. 195-202
Author(s):  
Buana Ma'ruf ◽  
Yasuhisa Okumoto ◽  
Sjarief Widjaja
Keyword(s):  
Factor Analysis ◽  
Business Environment ◽  
Management Model ◽  
Sustainable Competitive Advantage ◽  
Strategy Formulation ◽  
Proposed Model ◽  
Multivariate Factor Analysis ◽  
Strategic Factors ◽  
Strategic Options ◽  
Ship Repair

Since the nature of the shipyard differs from general industry, a shipyard strategy formulation model has been developed based on its own business characteristics. This paper presents a proposed environment-based strategy formulation model for medium-sized shipyards. A questionnaire survey of the industry's stakeholders was carried out to identify the internal and external strategic factors of the shipyard's businesses. By using multivariate factor analysis, the strategic factors were identified in both new building and ship repair. The results were then used to develop business environment submodels and a shipyard business matrix. These industry based models were integrated into a shipyard strategy formulation model called YARDSTRAT. Its application and evaluation in two shipyards show that the proposed model could produce more comprehensive strategic options to sustainable competitive advantage for the companies.

Multivariate factor analysis reveals the key role of management in integrated multitrophic aquaculture of veta la Palma (Spain)

Aquaculture ◽  
2018 ◽  
Vol 495 ◽  
pp. 484-495
Author(s):  
M.J. Fernández-Rodríguez ◽  
A. Milstein ◽  
A. Jiménez-Rodríguez ◽  
N. Mazuelos ◽  
M. Medialdea ◽  
...  
Keyword(s):  
Factor Analysis ◽  
La Palma ◽  
Multivariate Factor Analysis
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