本論文採用負向促發作業，探討中英雙語者之認知處理，主要研究目的為：一、探討雙語連結因不同促發順序（L1-L2 或 L2-L1）所致的不對稱性，及其連結性質的差異。二、探討不同 L2 熟練度的雙語者，是否表現出不同的雙語連結型態，而有發展性變遷的現象。三、探討雙語概念、詞彙的連結，是否會因文字形式、雙語文字間的相關或對譯關係的不同，而有不同的型態。 在兩個實驗中，所進行之負向促發作業卻產生正向促發效果，根據文獻推論可能是 SOA 間距不夠長；且繼續分析此促發效果型態，仍有其理論意義。 實驗一以 20 名中文四同學、 20 名英文四同學，進行匿視促發項之跨語言語意相關字彙判斷作業，結果發現：促發順序 L1-L2 產生顯著效果、L2-L1 無顯著效果、兩方向間的不對稱值隨著 L2 熟練度提高而變小。顯示雙語間的不對稱現象，是因兩方向之連結性質不同所致，且此不對稱有發展性變遷的現象，與雙語之「修正階層模式」預測一致。 實驗二以 24 名一般大學生，採相同作業程序，進行匿視促發項之跨語言對譯字（具體、抽象）、相關字字彙判斷，結果發現：整體之數據分析，顯示對譯字並未比相關字產生較大效果；具體對譯字也沒有比抽象對譯字產生較大效果；具體對譯字在兩促發順序之不對稱值也沒有比抽象對譯字小。但分別將對譯字、相關字在不同促發順序分析其不對稱情形、及在 L2-L1 情況對譯字、相關字之效果差異，顯示此部份結果符合以「修正階層模式」為基礎所提出之預測。 總括而言，中英雙語之概念、詞彙連結之不對稱性，亦能以「修正階層模式」加以解釋；但是文字形式對中英雙語之影響，仍有待更進一步研究來加以釐清。

工業的發達與否代表一個國家國力的強弱，故欲使我國達已開發國家之林，提昇整個工業或產業的升級，已經是刻不容緩的事。近年來，政府致力於發展新的高科技產業，同時，對於傳統工業也以獎勵或鼓勵技術升級的方式，以提昇整體產業競爭力。其中包含了所謂"傳統工業技術升級計畫"。 　　所以，本文欲藉助對數線型模式，針對"傳統工業技術升級計畫"，來建構及解釋一些模式，並提出建議，以期傳統工業升級計畫，能更符合每個產業的要求。 / Modernization of Industry represents the powerfulness of a country. It'surgent to upgrade the inndustry, so that our country become a developed country.The government has been making every effort on new hi-tech industries lately, at the same time, the government also provide different incentives to upgradethe tradional industries. This way would increase the competitiveness of ourone of the incentives is that the government provided the so called "Conventionalindustries upgrading program" 　　In this paper, we use loglinear models to analyze the data given by those companies that participated "Conventional industries upgrading program". Based on the models, we shall make some suggestions and conclusions.

In dieser Arbeit wird eine neue Methode für den skalenunabhängigen Vergleich von LD-Strukturen in unterschiedlichen genomischen Regionen vorgeschlagen. Verschiedene Aspekte durch Skalen verursachter Probleme – von der Präzision der Schätzung der Marke-reffekte bis zur Genauigkeit der Vorhersage für neue Individuen - wurden untersucht. Darüber hinaus, basierend auf den Leistungsvergleichen von unterschiedlichen statistischen Methoden, wurden Empfehlungen für die Verwendungen der untersuchten Methoden gege-ben. / In dieser Arbeit wird eine neue Methode für den skalenunabhängigen Vergleich von LD-Strukturen in unterschiedlichen genomischen Regionen vorgeschlagen. Verschiedene Aspekte durch Skalen verursachter Probleme – von der Präzision der Schätzung der Marke-reffekte bis zur Genauigkeit der Vorhersage für neue Individuen - wurden untersucht. Darüber hinaus, basierend auf den Leistungsvergleichen von unterschiedlichen statistischen Methoden, wurden Empfehlungen für die Verwendungen der untersuchten Methoden gegeben

本研究的目的是初步探索Wang等人(2012)的模式中各因子的生理基礎，在該模式當中，社會焦慮疾患與憂鬱疾患間的結構關係，可透過高負向情感因子、低正向情感因子、害怕負向評價因子與害怕正向評價因子良好說明，然目前主要研究發現多來自問卷法研究，本研究以靜息態磁振造影做為生理方面的初探工具，以功能聯結網絡找出與因子對應的生理佐證。本研究邀請共邀請50位大學生，其中有25位是高社會焦慮傾向者，另外25位則是低社會焦慮傾向者，每位參與者都須填寫問卷與接受約15分鐘的磁振造影掃描。本研究分別以杏仁核、腦島、依核與眶額葉皮質為種子區域形成的功能聯結網絡，結果發現高社會焦慮傾向組與低社會焦慮傾向組在四組功能聯結網絡均有顯著差異；進一步分析具差異的功能聯結與量表的關係，可觀察到與負向情感因子有關的聯結同時和社會焦慮傾向及憂鬱傾向達顯著正相關，與正向情感因子有關的聯結則同時和社會焦慮傾向及憂鬱傾向達顯著負相關；分別排除社會焦慮傾向與憂鬱傾向的影響後，仍可發現和害怕正向評價因子與害怕負向評價因子具顯著相關的功能聯結。本研究的發現顯示Wang等人(2012)的模式中各因子的確有對應的腦部功能聯結，可見該模式具有生理實質性，且可良好論述與釐清心理疾患間關係，然本研究受限於種子與參與者的選擇，無法呈現該模式中因子間的關係，未來可進一步採用作業態等方法，以利更加確立腦部功能聯結與模式中各因子的關係。

Submitted by JOÉL VILLAVICENCIO GASTELÚ null (tear_295@hotmail.com) on 2016-03-30T17:36:01Z No. of bitstreams: 1 Dissertação_Rev1_13 - Joel Gastelu.pdf: 3335802 bytes, checksum: 93fbe0689da0072cc77a9120a8e24b02 (MD5) / Rejected by Juliano Benedito Ferreira (julianoferreira@reitoria.unesp.br), reason: Solicitamos que realize uma nova submissão seguindo as orientações abaixo: O arquivo submetido está sem a ficha catalográfica. A versão submetida por você é considerada a versão final da dissertação/tese, portanto não poderá ocorrer qualquer alteração em seu conteúdo após a aprovação. Corrija estas informações e realize uma nova submissão contendo o arquivo correto. Agradecemos a compreensão. on 2016-04-01T13:14:50Z (GMT) / Submitted by JOÉL VILLAVICENCIO GASTELÚ null (tear_295@hotmail.com) on 2016-04-01T19:04:22Z No. of bitstreams: 1 Dissertação_Joel.pdf: 4253690 bytes, checksum: 75d9921d8416eec7341f8bf0e2182766 (MD5) / Rejected by Ana Paula Grisoto (grisotoana@reitoria.unesp.br), reason: Solicitamos que realize uma nova submissão seguindo as orientações abaixo: A data informada na capa do documento está diferente da data de defesa que consta na ficha catalográfica e folha de aprovação. Corrija esta informação no arquivo PDF e realize uma nova submissão contendo o arquivo correto. Agradecemos a compreensão. on 2016-04-05T13:53:33Z (GMT) / Submitted by JOÉL VILLAVICENCIO GASTELÚ null (tear_295@hotmail.com) on 2016-04-06T22:35:57Z No. of bitstreams: 1 Dissertação_Joel.pdf: 4231140 bytes, checksum: 4bd6143a52dc3a6846abd4f996ba9306 (MD5) / Approved for entry into archive by Juliano Benedito Ferreira (julianoferreira@reitoria.unesp.br) on 2016-04-07T12:21:23Z (GMT) No. of bitstreams: 1 gastelu_jv_me_ilha.pdf: 4231140 bytes, checksum: 4bd6143a52dc3a6846abd4f996ba9306 (MD5) / Made available in DSpace on 2016-04-07T12:21:23Z (GMT). No. of bitstreams: 1 gastelu_jv_me_ilha.pdf: 4231140 bytes, checksum: 4bd6143a52dc3a6846abd4f996ba9306 (MD5) Previous issue date: 2016-03-01 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / No presente trabalho tem-se como objetivo estimar o potencial fotovoltaico devido à instalação de sistemas fotovoltaicos em telhados de áreas residenciais. Na estimação desse potencial foram consideradas quatro grandezas: o nível de irradiação solar, a área aproveitável de telhado para a instalação dos sistemas fotovoltaicos, a eficiência de conversão dos sistemas fotovoltaicos e as probabilidades de instalação dos sistemas fotovoltaicos, que caracterizam as preferências dos habitantes à instalação desses sistemas. Um modelo hierárquico bayesiano foi proposto para o cálculo das probabilidades de instalação dos sistemas fotovoltaicos. Nesse modelo bayesiano é estabelecida uma relação entre as probabilidades de instalação, as variáveis socioeconômicas e as interações entre as subáreas, através de um modelo linear generalizado misto. O cálculo do valor esperado das probabilidades de instalação foi realizado usando o método de Monte Carlo via cadeias de Markov. Os resultados do potencial fotovoltaico são apresentados através de mapas temáticos, que permitem a visualização da distribuição espacial do seu valor esperado. Esta informação pode ajudar as concessionárias de distribuição no planejamento e expansão de suas redes elétricas em regiões com maior potencial de geração fotovoltaica. / The present work aims to estimate the photovoltaic potential for installing solar panel on the rooftop of residential areas. The estimation of this potential considers four quantities: the solar radiation level, rooftop availability for installation of photovoltaic systems, conversion efficiency of the photovoltaic systems and the probabilities for the installation of photovoltaic systems that characterize the preferences of the inhabitants to the installation of such systems. A bayesian hierarchical model is proposed to calculate the installation probabilities of photovoltaic systems. This bayesian model establishes a relation among the installation probabilities, socioeconomic variables and interactions between subareas, through a generalized linear mixed model. The calculation of expected value of installation probabilities in each subarea is performed using the Markov Chain Monte Carlo method. Photovoltaic potential results are presented through thematic maps that allow the visualization of the spatial distribution of its expected value. This information can help to distribution utilities for planning and expansion of their networks in regions with the greatest potential for photovoltaic generation.

Orientador: Antônio Padilha Feltrin / Resumo: No presente trabalho tem-se como objetivo estimar o potencial fotovoltaico devido à instalação de sistemas fotovoltaicos em telhados de áreas residenciais. Na estimação desse potencial foram consideradas quatro grandezas: o nível de irradiação solar, a área aproveitável de telhado para a instalação dos sistemas fotovoltaicos, a eficiência de conversão dos sistemas fotovoltaicos e as probabilidades de instalação dos sistemas fotovoltaicos, que caracterizam as preferências dos habitantes à instalação desses sistemas. Um modelo hierárquico bayesiano foi proposto para o cálculo das probabilidades de instalação dos sistemas fotovoltaicos. Nesse modelo bayesiano é estabelecida uma relação entre as probabilidades de instalação, as variáveis socioeconômicas e as interações entre as subáreas, através de um modelo linear generalizado misto. O cálculo do valor esperado das probabilidades de instalação foi realizado usando o método de Monte Carlo via cadeias de Markov. Os resultados do potencial fotovoltaico são apresentados através de mapas temáticos, que permitem a visualização da distribuição espacial do seu valor esperado. Esta informação pode ajudar as concessionárias de distribuição no planejamento e expansão de suas redes elétricas em regiões com maior potencial de geração fotovoltaica. / Abstract: The present work aims to estimate the photovoltaic potential for installing solar panel on the rooftop of residential areas. The estimation of this potential considers four quantities: the solar radiation level, rooftop availability for installation of photovoltaic systems, conversion efficiency of the photovoltaic systems and the probabilities for the installation of photovoltaic systems that characterize the preferences of the inhabitants to the installation of such systems. A bayesian hierarchical model is proposed to calculate the installation probabilities of photovoltaic systems. This bayesian model establishes a relation among the installation probabilities, socioeconomic variables and interactions between subareas, through a generalized linear mixed model. The calculation of expected value of installation probabilities in each subarea is performed using the Markov Chain Monte Carlo method. Photovoltaic potential results are presented through thematic maps that allow the visualization of the spatial distribution of its expected value. This information can help to distribution utilities for planning and expansion of their networks in regions with the greatest potential for photovoltaic generation. / Mestre

Ce travail de thèse doctorale traite l'analyse de la vulnérabilité des systèmes critiques pour la sécurité (par exemple, les centrales nucléaires) dans un cadre qui combine les disciplines de l'analyse des risques et de la prise de décision de multi-critères.La contribution scientifique suit quatre directions: (i) un modèle hiérarchique et quantitative est développé pour caractériser la susceptibilité des systèmes critiques pour la sécurité à plusieurs types de danger, en ayant la vue de `tous risques' sur le problème actuellement émergeant dans le domaine de l'analyse des risques; (ii) l'évaluation quantitative de la vulnérabilité est abordé par un cadre de classification empirique: à cette fin, un modèle, en se fondant sur la Majority Rule Sorting (MR-Sort) Méthode, généralement utilisés dans le domaine de la prise de décision, est construit sur la base d'un ensemble de données (en taille limitée) représentant (a priori connu) des exemples de classification de vulnérabilité; (iii) trois approches différentes (à savoir, une model-retrieval-based méthode, la méthode Bootstrap et la technique de validation croisée leave-one-out) sont élaborées et appliquées pour fournir une évaluation quantitative de la performance du modèle de classification (en termes de précision et de confiance dans les classifications), ce qui représente l'incertitude introduite dans l'analyse par la construction empirique du modèle de la vulnérabilité; (iv) basé sur des modèles développés, un problème de classification inverse est résolu à identifier un ensemble de mesures de protection qui réduisent efficacement le niveau de vulnérabilité du système critique à l’étude. Deux approches sont développées dans cet objectif: le premier est basé sur un nouvel indicateur de sensibilité, ce dernier sur l'optimisation.Les applications sur des études de cas fictifs et réels dans le domaine des risques de centrales nucléaires démontrent l'efficacité de la méthode proposée. / This Ph. D. work addresses the vulnerability analysis of safety-critical systems (e.g., nuclear power plants) within a framework that combines the disciplines of risk analysis and multi-criteria decision-making. The scientific contribution follows four directions: (i) a quantitative hierarchical model is developed to characterize the susceptibility of safety-critical systems to multiple types of hazard, within the needed `all-hazard' view of the problem currently emerging in the risk analysis field; (ii) the quantitative assessment of vulnerability is tackled by an empirical classification framework: to this aim, a model, relying on the Majority Rule Sorting (MR-Sort) Method, typically used in the decision analysis field, is built on the basis of a (limited-size) set of data representing (a priori-known) vulnerability classification examples; (iii) three different approaches (namely, a model-retrieval-based method, the Bootstrap method and the leave-one-out cross-validation technique) are developed and applied to provide a quantitative assessment of the performance of the classification model (in terms of accuracy and confidence in the assignments), accounting for the uncertainty introduced into the analysis by the empirical construction of the vulnerability model; (iv) on the basis of the models developed, an inverse classification problem is solved to identify a set of protective actions which effectively reduce the level of vulnerability of the critical system under consideration. Two approaches are developed to this aim: the former is based on a novel sensitivity indicator, the latter on optimization.Applications on fictitious and real case studies in the nuclear power plant risk field demonstrate the effectiveness of the proposed methodology.

Neste trabalho estudamos a existência de ordem de longo alcance em modelos ferromagnéticos na presença de um campo externo cuja configuração apresenta um padrão tipicamente aleatório. Provamos por meio do argumento de Peierls modificado por Griffiths para o estudo de um antiferromagneto, que o modelo de Ising ferromagnético bidimensional exibe, para um campo alternado de intensidade fraca, ordem de longo alcance `a temperatura finita. Propomos dar um passo além considerando campos auto-similares esparsos, cuja soma é nula em todas as escalas. Estudamos também o modelo hierárquico em duas dimensões, para o qual provamos a existência de ordem de longo alcance a temperatura finita, na ausência de campo externo e para um campo com regiões irregulares esparsas. Provamos que os resultados do modelo de contornos hierárquicos são equivalentes aos resultados do modelo hierárquico em duas dimensões. Por fim, provamos através do método do limite infravermelho existência de ordem de longo alcance no modelo N-vetorial com campo alternado, de intensidade fraca, para d >= 3, sob a hipótese de que a variância do estado associado `a interação com o campo apresenta cardinalidade inferior a do volume do sistema. Mostramos, sob hipóteses similares, que o modelo N-vetorial hierárquico com campo externo, esparso e de intensidade pequena, apresenta ordem de longo alcance a baixas temperaturas. / In this work we study the existence of long range order for ferromagnetic models in the presence of an external field whose configuration has a pattern typically random. We prove, via the Peierls\' argument modified by Griffiths in his study of an antiferromagnet, that the two dimensional ferromagnetic Ising model for a staggered field exhibits long-range order at finite temperature and small field intensity. We propose to give a further step considering sparse self similar fields, whose sum is zero in all scales. We study as well the hierarchical model in two dimensions, where we prove existence of long-range order at finite temperature in the absence of external field and for a field configuration with sparse irregular regions. We prove that the results for the two-dimensional hierarchical contours model are equivalent to the results of the hierarchical model in two dimensions. Lastly, we prove via infrared bound method, existence of long range order in the N-vector model with a staggered and weak external field for d >= 3, under the hypothesis that the variance of the state connected with the field interaction has cardinality lower than volume. We show, under similar hypotheses, that the N-vector hierarchical model with a sparse field of low intensity has long range ordem at low temperatures.

Made available in DSpace on 2018-08-01T23:38:09Z (GMT). No. of bitstreams: 1 tese_11784_ARIANA DA ROS DISSERT FINAL.pdf: 3303769 bytes, checksum: e65de578a04b8e1a3930b6cff91dee54 (MD5) Previous issue date: 2017-12-29 / A presente pesquisa compõe o Projeto de Pesquisa Modelo hierárquico dos antecedentes do comportamento de persistência discente em cursos superiores na modalidade a distância, juntamente com a dissertação Traços de personalidade e persistência discente em cursos de graduação na modalidade a distância, defendida no PPGGP/UFES. Pertence à área de concentração em Gestão de Operações no Setor Público, por buscar compreender o fenômeno da persistência discente em cursos EAD da UFES e propor medidas que possibilitem reduzir a evasão nesses cursos. Trata-se de uma pesquisa quantitativa, com o propósito de investigar os traços de personalidade que explicam a persistência discente nos cursos de Licenciatura em Ciências Biológicas, Física, Pedagogia e Química, ofertados na modalidade a distância EAD pela UFES, fazendo uso do Modelo Metateórico de Motivação e Personalidade 3M, de Mowen (2000). Foi realizada pesquisa bibliográfica sobre esse modelo e as teorias de evasão e persistência discentes, sendo a coleta de dados realizada por levantamento de campo do tipo survey, com questionário estruturado, alcançando 169 respostas válidas. Os dados foram analisados por regressões lineares múltiplas no software Statistical Package for the Social Sciences SPSS, confirmando 14 das 32 hipóteses delimitadas. Os resultados confirmam a possibilidade de uso do modelo 3M para a compreensão da Persistência Discente, comprovando que os traços de personalidade exercem influência de forma hierárquica, do traço mais abstrato ao mais superficial, a saber: Conscienciosidade, Introversão e Necessidade de Excitação (elementares), Orientação para Tarefas e Autoeficácia (compostos) e Satisfação (situacional) sobre o comportamento da Persistência Discente (superficial). Por fim, é apresentada, no apêndice D, proposta de manual para orientação na interpretação das hipóteses confirmadas para a persistência discente em cursos ofertados na modalidade EAD pela UFES, no qual são analisadas, individualmente, as 14 hipóteses confirmadas após aplicação do questionário estruturado aos cursos EAD objetos da pesquisa. Palavras-chave: persistência discente, ensino superior, educação a distância, modelo 3M, modelo hierárquico, traços de personalidade, gestão pública. / The present research composes the Research Project "Hierarchical model of the antecedent of the persistence behavior of students in higher courses in the distance modality", together with the dissertation "Personality traits and student persistence in undergraduate courses in distance modality", defended in the PPGGP / UFES. It belongs to the area of concentration in Operations Management in the Public Sector, for seeking to understand the phenomenon of student persistence in EAD courses of the UFES and propose measures that enable to reduce evasion in these courses. This is a quantitative research with the purpose of investigating the personality traits that explain the persistence of undergraduate courses in Biological Sciences, Physics, Pedagogy and Chemistry, offered in the distance modality - EAD by UFES, using the Model Motive of Motivation and Personality - 3M, de Mowen (2000). A bibliographical research was carried out on this model and the theories of student evasion and persistence. The data collection was done by field survey, with a structured questionnaire, reaching 169 valid answers. Data were analyzed by multiple linear regressions in the Statistical Package for the Social Sciences - SPSS, confirming 14 of the 32 delimited hypotheses. The results confirm the possibility of using the 3M model to understand "Persistence", proving that personality traits influence hierarchically, from the most abstract to the most superficial, namely: Conscientiousness, Introversion and Need for Excitement (elementary), Task and Self-efficacy Guidance (composite) and (Situational) Satisfaction on the behavior of Student (Surface) Persistence. Finally, Appendix D proposes a manual for guidance in interpreting the confirmed hypotheses for student persistence in courses offered in the EAD modality by the UFES, in which the 14 confirmed hypotheses after the application of the structured questionnaire are analyzed individually. EAD research objects.

Sportanalys definieras av Alamar (2013) som användning av historisk data för att applicera modeller som kan ge information till beslutstagare inom en viss organisation. Det ger dem möjlighet att assistera sin organisation för att få en sportslig fördel. I den här studien utförs sportanalys, mer specifikt analyseras hörnsekvenser inom svensk elitfotboll. En hörnsekvens är den sekvens av händelser som sker från att bollen sätts i spel från hörnans startposition tills det att något av följande villkor uppfylls: 8 händelser sker givet att hörnan slås kort 6 händelser sker givet att hörnan slås långt 15 sekunder passerar Försvarande lag tar över bollen Något lag utför ett regelbrott Skott utförs av attackerande lag Datamaterialet som används är framtaget av företaget Wyscout och tillhandahållet av Football Analytics Sweden AB. De ligor och säsonger som betraktas är de svenska herrligorna Allsvenskan och Superettan för säsongerna 2017, 2018 och 2019. I datamaterialet erhålls information om varje händelse som sker under matchen. Utifrån information om händelsen samt koordinater om var händelsen sker framställs variabler som ska kunna beskriva vad som sker inom en hörnsekvens. Syftet med studien är att först identifiera hörnsekvenser med liknande egenskaper och gruppera dem. Utifrån gruppindelningen undersöks sedan sannolikheten för att en hörnsekvens leder till skott samt vad som påverkar sannolikheten. Algoritmen Partitioning Around Medoids (PAM) används med avståndsmåttet Gower och utvärderingsmåttet silhouette för att identifiera följande fem hörnsekvenstyper: Utåtskruvade hörnor från vänsterhörn med tendens mot främre stolpen och relativt nära mållinjen. Inåtskruvade hörnor från vänsterhörn med tendens mot främre stolpen och längre förflyttning ut från mållinjen. Utåtskruvade hörnor från högerhörn med tendens mot främre stolpen och relativt nära mållinjen. Korta varianter som har längre varaktighet, innefattar fler händelser och involverar fler spelare. Inåtskruvade hörnor från högerhörn med tendens mot främre stolpen och längre förflyttning ut från mållinjen. Betraktas förekomsten av skott i datamaterialet givet klusterstrukturen konstateras att hörnsekvenstyp 4 i störst utsträckning lett till skott med förekomsten 19 procent inom klustret. Hörnsekvenstyperna 2 och 5 är något sämre med respektive 18 procent av hörnsekvenserna som lett till skott. Med dessa hörnsekvenstyper i fokus anpassas flera Bayesianska hierarkiska logitmodeller för att undersöka sannolikheten för att en hörnsekvens leder till skott givet de framtagna variablerna. Vid skapandet av modellerna undersöktes om en hierarkisk modellstruktur var behövlig för att undersöka sannolikheten för skott. Slutsatsen blev att det är väsentligt att tillämpa en hierarkisk modellstruktur. Av vald modell så dras slutsatsen att det som påverkar sannolikheten att komma till skott allra mest, med avseende de variabler som undersökts, är antalet händelser som sker i hörnsekvensen. Den hörnsekvenstyp som påverkas mest av antalet händelser är den korta varianten. Det diskuteras om hur det kan vara problematiskt att undersöka den linjära påverkan på log-oddset. Detta eftersom påverkan på sannolikheten för skott inte är densamma för en ökning mellan en och två händelser som mellan tre och fyra händelser. Det är även näst intill omöjligt att komma till skott på första händelsen i hörnsekvensen då händelsen utgörs av att hörnan slås. / Sports analysis is defined by Alamar (2013) as the management of structured historical data, the application of analytical models that utilize that data, and the use of information systems to inform decision makers and enable them to help their organization in gaining a competitive advantage on the field of play. This study focuses on sports analysis, more specifically corner sequences in Swedish elite football. A corner sequence is defined as the sequence of events that occur after the ball have been put into play from the corners start position up until that one of the following conditions are met: 8 events occur given a short corner is played 6 events occur given a long corner is played 15 seconds passes The defending team overtake the ball Some team performs a foul The attacking team performs a shot The data set used comes from Wyscout and is provided by Football Analytics Sweden AB. The data consist of games from the top Swedish football leagues for men: Allsvenskan and Superettan, and consists of games played in the seasons 2017, 2018 and 2019. In the data, information about every event that occur during the game is provided, where all events are classified to provide information about what happens at the specific event. The information about each event and its coordinates is then used produce variables to describe what occurs during a corner sequence. The purpose is to identify corner sequences with similar characteristics and group them together. Then use these groups to examine the probability that a corner sequence leads to a shot, and what influences this probability. The clustering algorithm Partitioning Around Medoids (PAM) is used with Gower as the dissimilarity measure and silhouette to evaluate the clusters, then the five following clusters are identified: Corners curled away from goal from the left corner with a tendency towards the front post and relatively close to the goal line. Corners curled towards goal from the left corner with a tendency towards the front post further away from the goal line. Corner curled away from goal from the right corner with a tendency towards the goal line. Short corner variant with longer duration, more events occurring and more players involved. Corners curled towards goal from the right corner with a tendency towards the front post and further away from the goal line. Given the clustering structure it is noted that the corner sequence of type 4 has led to the greatest extent of shots with the proportion of 19 percent within the cluster. The corner sequences of type 2 and 5 have a slightly lower shot occurrence with 18 percent per corner seqence type. With these corner sequence types in focus, several Hierarchical Bayesian Logistic Regression models are fitted to analyze the probability that a corner sequence leads to a shot given the produced explanatory variables. When fitting the models it is examined if it is necessary to apply a hierarchichal strutcture to the model. The conclusion is drawn that the hierarchical model structure is crucial to the model's performance. The conclusion is drawn from the final model that the explanatory variable which explains the probability to shoot best is the number of events that occur during the corner sequence. The corner sequence type that is most influenced by the number of events that occur during the corner sequence is the short corner variant. In the study it is discussed if there is an issue to suppose that this variable has a linear effect on the log-odds, since the impact on the probability to shoot is not the same for an increase between one and two as three and four events. Furthermore it is near impossible to shoot in the first event that occurs in the corner sequence.