Thesis (M.S.)--Rochester Institute of Technology, 2007. / Typescript. Includes bibliographical references (leaves 63-68).

Thesis (Ph.D.)--University of Nebraska-Lincoln, 2006. / Title from title screen (site viewed April 26, 2007). PDF text: vii, 164 p. : ill. UMI publication number: AAT 3229555. Includes bibliographical references. Also available in microfilm and microfiche formats.

Thesis (Ph. D.)--Ohio State University, 2007. / Title from first page of PDF file. Includes bibliographical references (p. 132-142).

Θέμα της παρούσας διπλωματικής εργασίας αποτελεί η εφαρμογή της διαδικασίας ανάλυσης συστάδων (cluster analysis) στον κλάδο των οικονομικών. Στο πρώτο κεφάλαιο περιγράφεται η γενική μεθοδολογία της ανάλυσης συστάδων και αναλύονται τα στάδια που ακολουθούνται για την υλοποίηση της. Πιο συγκεκριμένα, αναπτύσσονται οι δύο κύριες μέθοδοι συσταδοποίησης, η ιεραρχική και η διαιρετική, καθώς και οι συνήθεις μετρικές απόστασης και αλγόριθμοι σύνδεσης που χρησιμοποιούνται στην ανάλυση συστάδων. Στο δεύτερο κεφάλαιο, αναφέρονται οι τομείς των οικονομικών στους οποίους, σύμφωνα με την βιβλιογραφία, εφαρμόζεται η ανάλυση συστάδων, ενώ παράλληλα γίνεται και μια σύντομη εμβάθυνση στην μεθοδολογία της ανάλυσης συστάδων που προτιμάται ανά τομέα. / In the present diploma thesis, applications of cluster analysis to economics are reviewed. The first chapter describes the general methodology of cluster analysis and analyzes the steps followed during the procedure. In particular, the two main clustering methods, hierarchical and divisive, as well as the common distance metrics and linkage rules are developed. In the second chapter the fields of economics which, according to the literature, the cluster analysis is usually used to, are described. Furthermore, there has been a brief review of the methodology of clustering followed for each economic sector.

Στη συγκεκριμένη διπλωματική εργασία αναλύεται το πρόβλημα της ανάλυσης συστάδων. Σκοπός της ανάλυσης συστάδων είναι να ομαδοποιεί τα στοιχεία σε cluster έτσι ώστε τα στοιχεία που ανήκουν στο ίδιο cluster να έχουν μεγαλύτερη ομοιότητα από τα στοιχεία που ανήκουν σε διαφορετικά cluster. / In the current diplomatic thesis is analyzed the problem of cluster analysis. The purpose of cluster analysis is to group items in clusters, so that items belonging to the same cluster have a greater similarity than the items belonging to different clusters.

No description available.

Emotion Regulation describes the ability to influence the experience and expression of affect. Adaptive emotion regulation contributes to healthy development, social competence and academic success (Kochanska, Murray & Harlan, 2000). This study investigated the behavioural strategies for emotion regulation, emotion expression, regulatory styles and classroom behaviour in middle childhood. One hundred and twenty-eight children were recruited from five UK public and private primary schools. From within their school setting, participant sensitivity to emotion-eliciting events was recorded using ambulatory skin conductance technology whilst age-group paired children performed two LEGO construction tasks. Observed behaviours were video-recorded and coded to establish frequencies of distinct regulatory behaviours. These were compared to self-reports of emotion regulation strategies and teacher-reports of classroom behaviour. Iterative partitioning cluster analysis methods were used to identify four regulatory profiles: 1) the ‘Adaptive’ cluster: employed high levels of positive problem solving and reappraisal strategies and frequently expressed both positive and negative emotions; 2) the ‘Maladaptive’ cluster: used more negative regulation (avoidant or obstructive strategies), expressed more negative emotion and had more social and behavioural problems in class; 3) the ‘Reactive’ cluster showed high levels of electrodermal activity, expressed little emotion and were reported as inattentive/hyperactive in class; and 4) the ‘Distracted’ cluster demonstrated high levels of behavioural and cognitive distraction. These results indicate four meaningful profiles that could support the identification of vulnerable individuals for positive school-based intervention and support.

This master thesis is about tax quota and its change in the states of European Union. The practical part starts with display of the tax quota in the states of EU and its changes after 20 years, there is a comparison of the tax quota in 1995 and 2015. In these years, there is also performed the cluster analysis in the programme STATISTICA 12. The cluster analysis consists of four variables (partial tax quota): indirect taxes, personal income taxes, corporate income taxes, social contributions. The aim of this analysis is to find groups of states with a similar development of the tax quota. Then follows the convergence analysis, which says that tax systems of the states in EU are gradually approaching each other. The last topic in this thesis is a comparison of the average values EU of the development tax quota with development of the total tax revenues and the GDP. The very similar and unstable development of the two last mentioned indicators are ensuring a relatively stable value of the tax quota over time.

Made available in DSpace on 2015-07-13T12:10:13Z (GMT). No. of bitstreams: 0 Previous issue date: 2015-03-04. Added 1 bitstream(s) on 2015-07-13T12:25:35Z : No. of bitstreams: 1 000837376.pdf: 584934 bytes, checksum: 3127c9a134e21a27580716c819f09a4c (MD5) / Os aracnídeos conseguiram sucesso ao longo do processo evolutivo graças à alta capacidade de adaptação. Dentro deste grupo, as aranhas e escorpiões apresentam ampla distribuição no planeta, e podem trazer problemas de saúde aos seres humanos. Para avaliar os problemas de infestação provocados por estes animais é necessário o uso de ferramentas estatísticas que possam aferir quais são os fatores que favorecem ou perpetuam a aparição, presença e proliferação destes animais. Desta forma, este trabalho tem como objetivo apresentar a Análise de Agrupamentos para determinar padrões de infestação, fazendo com que locais aparentemente distintos possam ser reunidos em grupos semelhantes o que pode trazer benefícios para políticas de saúde. Os 25 pontos geográficos de coleta utilizados na amostragem foram reunidos em seis grupos com características distintas, dentre os quais, três foram formados por um único ponto de coleta (outliers). Os grupos obtidos apresentaram relação entre os pontos que os formam e as características ambientais dos locais, demonstrando que a distribuição das famílias de aracnídeos nos diferentes gradientes urbanos é influenciada pelas condições do ambiente. Assim, a ocupação dos espaços urbanizados por aracnídeos peçonhentos torna-se um problema para a saúde pública, necessitando de políticas de controle epidemiológico através de monitoramento e mapeamento das áreas de risco que podem ser melhor avaliadas com o uso da Análise de Agrupamentos. Palavras chave: Aranha, Escorpião, Epidemiologia, Análise de Agrupamentos / Arachnids have been successful along the evolutionary process thanks to their high adaptability. Within this group, spiders and scorpions are widely distributed on the planet and may affect human health. In order to evaluate the infestation problems caused by these animals, it is necessary to use statistical tools that can assess the factors that favor or perpetuate their appearance, presence and proliferation. Thus, this work aims to present cluster analysis in order to determine infestation patterns, allowing seemingly distinct sites to be grouped into similar clusters, which can benefit health policies. The 25 geographic collection sites used for sampling were divided into six groups with different characteristics, among which three were formed by a single collection point (outliers). The groups obtained showed a relationship with the environmental characteristics of the sites, indicating that the distribution of arachnid families in the different urban gradients is influenced by environmental conditions. Therefore, the occupation of urbanized areas by venomous arachnids becomes a problem for public health, requiring epidemiological control policies through monitoring and mapping of risk areas, which can be better assessed with the use of cluster analysis

Master of Agribusiness / Department of Agricultural Economics / Kevin Gwinner / The agriculture industry has been a dynamic industry exploding with change in recent years. The world has experienced extreme population growth, along with shifts in social status, dietary habits, and consumption patterns that have led to a rapidly growing and changing agriculture industry demanding increasing grain production. The expected pace of production necessary to continue to feed the world has heightened the competition in the agriculture industry. This study focuses on analyzing how Company XYZ, a strong competitor in the grain and ethanol industry, can leverage the opportunities that the growth of the agriculture industry has provided. In order to maximize opportunities with each customer and remain competitive in new territories, the need is presented to develop a repeatable process. This process will focus on determining how to interpret customer preferences to quickly make the company the first preference of choice for target customers as they grow further into North America and beyond. This thesis will focus on understanding and operationalizing two components. First, identifying the most desirable customers and what makes them desirable. Secondly, understanding, anticipating, and consistently addressing the needs of customers to address them better than the competition. To analyze and understand customer habits and behaviors this thesis examines the results of a survey conducted with existing customers. Regression analysis of the overall profitability of a customer to the company and a regression analysis of the customer's ratings of Company XYZ in relation to the competition were used to help identify how the discrimination and segmentation factors impact each regression. A cluster analysis is also implemented with the survey data to segment customers in order to develop a structured plan that can be implemented within the business practices. The cluster analysis revealed three dominant clusters that customers can be segmented into. These clusters, in conjunction with the findings from the regression analyses, help identify areas of strength and weakness to develop a plan of action for Company XYZ to implement. The plan, known as the Partner of Choice, directs the focus on implementing market segmentation to leverage customized marketing opportunities, behavioral management alignment, employee incentive opportunities, and a structured training program.