58 resultados para principal components

em Deakin Research Online - Australia


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Principal Topic Internationalisation strategies are important for company expansion because New Zealand, with its four million people, has such a small market. There may or may not exist ”agency costs” in the use of Outside Directors. Ownership patterns may also influence Internationalisation.

Methodology/Key Propositions This study uses Principal Component Analysis both in a grounded theory approach and in a confirmatory approach.

Results and Implications We find evidence that in New Zealand, contrary to some previous research elsewhere, outside Directors actually have less influence on Internationalisation than Inside Directors. Private ownership also seems to have a greater association with Internationalisation than other ownership types. A highly reliable sample of 1989 New Zealand company directors showed that such factors as gender, age and location and even industry sector were irrelevant. Two factors were important in explaining whether a company goes off-shore. These are the size and magnitude of the company as well as the ownership type and role of the CEO. In essence, this study validates New Zealand’s present strategy of ”picking winners”, that is, selecting firms based upon factor components. This study adds strength to that strategy because it identifies the concrete components that should be taken into account when picking companies for special treatment, e.g. export promotion.

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HPLC with acidic potassium permanganate chemiluminescence detection was employed to analyse 17 Cabernet Sauvignon wines across a range of vintages (1971–2003). Partial least squares regression analysis and principal components analysis was used in order to investigate the relationship between wine composition and vintage. Tartaric acid, vanillic acid, catechin, sinapic acid, ethyl gallate, myricetin, procyanadin B and resveratrol were found to be important components in terms of differences between the vintages.

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In spite of the increased use of factor-augmented regressions in recent years, little is known regarding the relative merits of the two main approaches to estimation and inference, namely, the cross-sectional average and principal component estimators. By providing a formal comparison of the approaches, the current paper fills this gap in the literature.

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This paper presents a new multivariate process capability index (MPCI) which is based on the principal component analysis (PCA) and is dependent on a parameter (Formula presented.) which can take on any real number. This MPCI generalises some existing multivariate indices based on PCA proposed by several authors when (Formula presented.) or (Formula presented.). One of the key contributions of this paper is to show that there is a direct correspondence between this MPCI and process yield for a unique value of (Formula presented.). This result is used to establish a relationship between the capability status of the process and to show that under some mild conditions, the estimators of this MPCI is consistent and converge to a normal distribution. This is then applied to perform tests of statistical hypotheses and in determining sample sizes. Several numerical examples are presented with the objective of illustrating the procedures and demonstrating how they can be applied to determine the viability and capacity of different manufacturing processes.

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If a company or person wants to invest a lot of money, where, when, and how should the investment go? A multi-agent based Financial Investment Planner may give some reasonable answers to the above question. Good advice is mainly based on adequate information, rich knowledge, and great
skills to use knowledge and information. To this end, this planner consists of four principal components information gathering agents that are responsible for gathering relevant information on the Internet, data mining agents that are in charge of discovering knowledge from retrieved information as well as other relevant databases, group decision making agents that can effectively use available knowledge and appropriate information to make reasonable decisions (investment advice), and a graphical user interface that interacts with users. This paper is focused on the group decision making part. The design and implementation of an agent-based hybrid intelligent system - agent-based soft computing society are detailed.

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OBJECTIVE: To investigate lay perceptions of the causes and prevention of obesity among primary school children.

DESIGN: A cross-sectional survey of randomly selected sample of adults in a shopping centre.

SUBJECTS: 315 adults in Melbourne, Australia.

MEASUREMENTS: Subjects completed a self-completion questionnaire, in which they rated the importance of 25 possible causes of obesity and the importance of 13 preventive measures on four-point scales: not important; quite important; very important; extremely important. Demographic information about the respondents' age, sex, marital status, education level and parental status was also collected.

RESULTS: The most important reported causes of childhood obesity were related to overconsumption of unhealthy food, parental responsibility, modern technology and the mass media. The most popular prevention activities were associated with specific actions aimed at children. Principal components analysis of the causes data revealed eight factors, provisionally named: parental responsibility, modern technology and media, overconsumption of unhealthy food, children's lack of knowledge and motivation, physical activity environment, lack of healthy food, lack of physical activity and genes. Two prevention factors were also derived, named government action and children's health promotion. Parents saw modern technology and media, and government activities as more important causes, and government policy as a more important means of prevention than nonparents and men. Women's responses tended to be similar to those of parents. There were few educational differences, although nontertiary educated respondents reported that modern technology and media were more important causes of obesity than did the tertiary educated.

CONCLUSION: The findings suggest that the public appears to hold quite sophisticated views of the causes and prevention of children's obesity. They suggest that a number of prevention strategies would be widely supported by the public, especially by parents.

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A short questionnaire was completed by 276 South Australian consumers, which examined postulated relationships between personal values, food lifestyle, demographics and their usual consumption of 24 vegetables. Principal components analyses showed that consumers' vegetable consumption could be divided into several categories, most notably salad and boiled vegetables. In multiple regression analyses different sets of values and lifestyle factors predicted intakes of overall vegetable (Rsq=27 per cent), salad (16 per cent) and boiled (27 per cent) vegetables. Path analysis revealed a complex set of pathways leading from values and personal demographics through motives, perceived food attributes and cooking skills to consumption. These partly confirmed the food lifestyle model proposed by Grunert et al. The findings show that vegetable consumption has a number of contextual and cognitive antecedents but strongly suggest that other likely predictive variables require investigation.

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Multiresolution histograms have been used for indexing and retrieval of images. Multiresolution histograms used traditionally are 2d-histograms which encode pixel intensities. Earlier we proposed a method for decomposing images by connectivity. In this paper, we propose to encode centroidal distances of an image in multiresolution histograms; the image is decomposed a priori, by connectivity. Multiresolution histograms thus obtained are 3d-histograms which encode connectivity and centroidal distances. The statistical technique of Principal Component Analysis is applied to multiresolution 3d-histograms and the resulting data is used to index images. Distance between two images is computed as the L2-difference of their principal components. Experiments are performed on Item S8 within the MPEG-7 image dataset. We also analyse the effect of pixel intensity thresholding on multiresolution images.

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Objective

To develop and validate the Impact of Multiple Sclerosis Scale (IMSS) and the Symptoms of Multiple Sclerosis Scale (SMSS) using the Extended Disability Status Scale (EDSS) for construct validity.
Design

Panel design involving test-retest over 4 months.
Setting

A mailed survey.
Participants

Volunteers with a diagnosis of multiple sclerosis (MS) recruited from an MS support service in Australia: 193 people (mean age, 39y) and 150 people participated at time 1 and time 2, respectively.
Interventions

Not applicable.
Main Outcome Measures

Principal components analyses, the Cronbach α, and descriptive statistics for the 2 scales; correlations for construct validity with the EDSS and retest; and confirmatory factor analysis to test the stability of IMSS and SMSS components over time.
Results

The IMSS yielded 5 independent and reliable components; the SMSS yielded 3 components; both component structures were stable over time. These scales showed convergent validity with the EDSS.
Conclusions

The IMSS and SMSS are psychometrically sound scales suitable for clinical and research purposes to assess the symptoms and impact of MS.

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Objective: The aim of this study is to evaluate the consistency of dietary patterns assessed through the use of a dietary recall and a 5-day food diary. Design: Participants (n=2265) of a longitudinal study of health and development completed 48-h dietary recall at interview, followed by a 5-day food diary and with the 24 h immediately preceding the interview analysed separately as a 24-h recall. Mean intakes of foods and nutrients were calculated and dietary patterns were assessed using exploratory factor analysis, using the method of principal components. Paired t-tests and correlation coefficients were used to compare the three dietary assessment methods. Results: Five distinct dietary patterns were identified using the food diary and the 48-h recall but were less consistent on the 24-h recall.  Correlations between factor scores on the 48-h recall and the food diary (r=0.13–0.67) were higher than those between the 24-h recall and food diary (r=-0.01–0.59). The recall methods were effective at ranking subjects according to food and nutrient intakes, with the 48-h recall and food diary showing higher correlations in both males and females. Conclusions: This study indicates that a 48-h recall effectively characterises dietary patterns in British adults when compared to a food diary and ranks participants appropriately with respect to most nutrients and foods and is superior to a single 24-h recall. These results have implications for longitudinal studies where maximising response rates to repeat dietary assessment tools is essential.

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Many organizations have realized the growing importance of adopting a 'High Commitment Organization' (HCO) approach with a focus on shared values to assist them in meeting their competitive challenges. A survey questionnaire based on the McDonald and Gandz (1992) list of values, employing confirmatory and principal components analyses was used to create scales to (a) explore the importance the sport management professional placed on those values, (b) explore the individual's perception of the importance placed on those values by their employing organization, (c) to compare these hierarchies with the values of the HCO, and (d) to measure the extent of value congruence. Three clear sets of values emerged: Development / Adhocracy (D/A) Values, Humanistic / Clan (H/C) Values and Conformity / Hierarchy (C/H) Values. Findings indicate significant differences between sport management professionals' values and those of their organizations. Employees placed higher importance on (D/A) and (H/C) Values than their organizations, while Sport organizations placed higher importance on (C/H) Values than their employees. There is stronger support by individuals than organizations for the values underpinning the HCO approach. These levels of individual - organizational value incongruence have implications for individual job satisfaction, motivation and organizational effectiveness.

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Objective
To evaluate, through two studies, the factor structure, inter-rater agreement, and test–retest and inter-rater reliability of the Sport Injury Rehabilitation Adherence Scale (SIRAS).

Design
Repeated measures design in both Study 1 (video evaluation) and Study 2 (clinical evaluation).

Setting
University department (Study 1) and outpatient physiotherapy department (Study 2).

Participants

Sixty physiotherapists and physiotherapy students in Study 1 and 45 patients undergoing physiotherapy treatment for a musculoskeletal injury in Study 2.

Intervention
In Study 1, participants rated the adherence of a simulated videotaped patient demonstrating high, moderate and low adherence during rehabilitation. In Study 2, two physiotherapists rated the adherence of patients at two consecutive rehabilitation sessions.

Main outcome measure
The SIRAS.

Results
In Study 1, principal components analysis confirmed a single factor for the SIRAS, and inter-rater agreement values ranged from 0.87 to 0.93. In Study 2, inter-rater and test–retest reliability coefficients ranged from 0.76 [95% confidence interval (CI) 0.54 to 0.83] to 0.89 (95% CI 0.79 to 0.95), and from 0.63 (95% CI 0.36–0.82) to 0.76 (95% CI 0.55–0.88), respectively.

Conclusion
The SIRAS is a reliable measure with high inter-rater agreement when used to evaluate clinic-based adherence to physiotherapy rehabilitation for musculoskeletal injury.

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A new objective fabric pilling grading method based on wavelet texture analysis was developed. The new method created a complex texture feature vector based on the wavelet detail coefficients from all decomposition levels and horizontal, vertical and diagonal orientations, permitting a much richer and more complete representation of pilling texture in the image to be used as a basis for classification. Standard multi-factor classification techniques of principal components analysis and discriminant analysis were then used to classify the pilling samples into five pilling degrees. The preliminary investigation of the method was performed using standard pilling image sets of knitted, woven and non-woven fabrics. The results showed that this method could successfully evaluate the pilling intensity of knitted, woven and non-woven fabrics by selecting the suitable wavelet and associated analysis scale.

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It appears that in the 30 years that business ethics has been a discipline in its own right a model of business ethics has not been proffered. No one appears to have tried to explain the phenomenon known as ‚business ethics’ and the ways that we as a society interact with the concept, therefore, the authors have addressed this gap in the literature by proposing a model of business ethics that the authors hope will stimulate debate. The business ethics model consists of three principal components (i.e. expectations, perceptions and evaluations) that are interconnected by five sub-components (i.e. society expects; organizational values, norms and beliefs; outcomes; society evaluates; and reconnection). The introduced model makes a contribution to the creation of a conceptual framework for business ethics. A few tentative conclusions may be drawn from the introduced model of business ethics. The model aspires to be highly dynamic. The ultimate outcome is dependent upon the evolution of time and contexts. It is also dependent upon and provides reference to the behaviours and perceptions of people. The model proposes business ethics to be a continuous and an iterative process. There is no actual end of the process, but a constant reconnection to the initiation of successive process iterations of the business ethics model. The principals and sub-components of the model construct the dynamics of this continuous process. They provide guidance on what and how to explore our common efforts to understand the phenomenon known as business ethics. The model provides opportunities for further research in the field of business ethics.

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Powerline corridors through forested ecosystems have been criticised due their potential to fragment the landscape and facilitate the intrusion of undesirable species into natural areas. This study investigates the effects of vegetation management (slashing), on: (1) timing of small mammal recolonisation; (2) vegetation characteristics that drive small mammal responses; and (3) the point where corridor resources are sufficient to provide functional habitat for native species. Small mammal trapping was undertaken within Bunyip State Park, Australia, across three sites, once a month from January 2001 to May 2002 and every 2 months thereafter until January 2004. Changes in vegetation around each trap station were assessed annually in the forest and bi-annually in the corridor. Principal components analysis on the vegetation structural complexity values produced factors for use in species abundance models. Native small mammal species recolonised the corridor 1.5–3.5 years after management and the corridor supported a breeding population of small mammals around 2.5 years post-management. Males however, generally recolonised the corridor first, resulting in a sex-biased population in these areas. Species corridor habitat models for five native and one introduced species suggested cover and shelter were more important in determining corridor use than plant species per se. Powerline corridors have the potential to create a mixture of different successional stages, enhancing habitat availability for many species. However, the intensity of current management needs to be reduced and an integrated approach to management needs to be undertaken if powerline corridors are to continuously provide habitat for native small mammal species.