The target of the work is to apply mathematical and statistical methods in the analysis of the Lithuanian language by identifying and taking into account peculiarities of the Lithuanian language, its heterogeneity, complexity and variability. / Pagrindinis darbo tikslas – pritaikyti matematinius ir statistinius metodus lietuvių kalbos analizėje, identifikuojant ir atsižvelgiant į lietuvių kalbos ypatumus, jos heterogeniškumą, sudėtingumą ir variabilumą.

Der Zusammenhang zwischen den Begriffen "Chance" (odd) und "Wahrscheinlichkeit" (probability) und die Anwendung des Chancenverhältnisses (odds ratio) im Bereich der Biometrie und bei der logistischen Regression werden erläutert. Es wird auf mögliche Fehlinterpretationen der Begriffe Chance und Chancenverhältnis hingewiesen.

Political campaigning has become a multi-million dollar business. A substantial proportion of a campaign's budget is spent on voter mobilization, i.e., on identifying and influencing as many people as possible to vote. Based on data, campaigns use statistical tools to provide a basis for deciding who to target. While the data available is usually rich, campaigns have traditionally relied on a rather limited selection of information, often including only previous voting behavior and one or two demographical variables. Statistical procedures that are currently in use include logistic regression or standard classification tree methods like CHAID, but there is a growing interest in employing modern data mining approaches. Along the lines of this development, we propose a modern framework for voter targeting called LORET (for logistic regression trees) that employs trees (with possibly just a single root node) containing logistic regressions (with possibly just an intercept) in every leaf. Thus, they contain logistic regression and classification trees as special cases and allow for a synthesis of both techniques under one umbrella. We explore various flavors of LORET models that (a) compare the effect of using the full set of available variables against using only limited information and (b) investigate their varying effects either as regressors in the logistic model components or as partitioning variables in the tree components. To assess model performance and illustrate targeting, we apply LORET to a data set of 19,634 eligible voters from the 2004 US presidential election. We find that augmenting the standard set of variables (such as age and voting history) together with additional predictor variables (such as the household composition in terms of party affiliation and each individual's rank in the household) clearly improves predictive accuracy. We also find that LORET models based on tree induction outbeat the unpartitioned competitors. Additionally, LORET models using both partitioning variables and regressors in the resulting nodes can improve the efficiency of allocating campaign resources while still providing intelligible models. / Series: Research Report Series / Department of Statistics and Mathematics

Dans ce mémoire, nous proposons une méthodologie statistique permettant d’obtenir un estimateur de l’espérance de vie des clients en assurance. Les prédictions effectuées tiennent compte des caractéristiques individuelles des clients, notamment du fait qu’ils peuvent détenir différents types de produits d’assurance (automobile, résidentielle ou les deux). Trois approches sont comparées. La première approche est le modèle de Markov simple, qui suppose à la fois l’homogénéité et la stationnarité des probabilités de transition. L’autre modèle – qui a été implémenté par deux approches, soit une approche directe et une approche par simulations – tient compte de l’hétérogénéité des probabilités de transition, ce qui permet d’effectuer des prédictions qui évoluent avec les caractéristiques des individus dans le temps. Les probabilités de transition de ce modèle sont estimées par des régressions logistiques multinomiales. / In this master’s thesis, we develop a statistical method to estimate the lifetime expectancy of clients in the insurance domain. The forecasts are personnalized according to the clients’ own features, the most notable being the fact that they can have any combination of automobile and residential insurance products. Three approaches are compared. The first approach is the simple Markov model which assume homogeneity and stationnarity of the transition probabilities. The other model suggested – which is implemented both by direct computation and by simulation – allows for heterogeneity of the transition probabilities, thus providing forecasts which evolve in time along with the characteristics of the clients. The transitions probabilities are estimated using multinomial logistic regressions.

This thesis focuses on application of artificial intelligence techniques in credit risk management. Moreover, these modern tools are compared with the current industry standard - Logistic Regression. We introduce the theory underlying Neural Networks, Support Vector Machines, Random Forests and Logistic Regression. In addition, we present methodology for statistical and business evaluation and comparison of the aforementioned models. We find that models based on Neural Networks approach (specifically Multi-Layer Perceptron and Radial Basis Function Network) are outperforming the Logistic Regression in the standard statistical metrics and in the business metrics as well. The performance of the Random Forest and Support Vector Machines is not satisfactory and these models do not prove to be superior to Logistic Regression in our application.

Les objectifs des entreprises n’ont pas cessé d’évoluer. Traditionnellement, la maximisation du profit a été considérée comme l’objectif ultime de l’activité de toute entreprise. Aujourd’hui, les managers déclinent plusieurs autres objectifs comme le profit à long terme plutôt qu'à court terme, l’image de marque, ou encore le respect de l’environnement (Boiral, 2006). Ainsi, pour identifier les motivations d’engagement des entreprises dans la responsabilité sociale (RSE) nous avons mobilisé, l’ensemble de la revue de littérature sur le sujet, en se basant sur le cadre d’analyse multi-niveaux identifié par Wood (1991). Cette étude nous a permis de mettre en place un modèle de recherche sur trois niveaux qui explique les motivations d’engagement des entreprises dans la RSE. Ce modèle de recherche a été testé sur 94 entreprises qui œuvrent dans le secteur industriel Algérien. Les résultats ont confirmé en partie nos hypothèses. Par conséquent, l’engagement volontaire des entreprises dans la RSE s’explique par : les valeurs idéalistes du chef d’entreprise, la réduction des coûts de production, l’anticipation sur la législation, l’avantage concurrentiel, la subvention de l’état et à la taille de l’entreprise. / The objectives of the compagnies have not stopped evolving. Traditionally profit maximization was considered as the ultimate goal of any business activity. Today, managers declined several alternative objectives such as long term profit rather than short one, brand, or respect for the environment, Boiral (2006). Thus, to identify the corporate commitments motivations into the social responsibility (CSR), we investigated all literature on the subject, based on the analysis of multi- level framework identified by Wood (1991). This study has allowed us to establish a research model on three levels, which explains the motivations of corporate commitments to CSR. This research model has been tested on 94 companies operating in the Algerian industrial sector. The results partly confirmed our hypotheses. Therefore, the compagnies voluntary commitment in CSR is explained by the idealistic values of the entrepreneur, the reduction of production costs, the anticipation of the legislation, competitive advantage, the state subsidy and the company size.

[pt] Conhecer o perfil da população brasileira que possui planos privados de saúde é fundamental para orientar as políticas da Agência Nacional de Saúde (ANS) e a linha de ação das seguradoras e operadoras de saúde. A proposta deste projeto é de fazê-lo sob a ótica do mercado de trabalho, levando em consideração a morbidade auto-referida dos indivíduos, e controlando também pelas variáveis demográficas e sócio-econômicas. Para tanto, primeiramente, realizou-se um estudo exploratório relacionando a posse de planos de saúde com estas variáveis. Depois disso, ajustamos modelos logísticos de regressão para explicar as morbidades auto referidas a partir da situação do indivíduo no mercado de trabalho, controlando pelas variáveis demográficas. A mesma classe de modelos foi utilizada como ferramenta para investigar o fenômeno conhecido como Assimetria de Informação na contratação de planos privados de saúde. Os resultados concentram os casos de assimetria de informação em algumas doenças. Pudemos identificar também grupos de trabalhadores com alta propensão a determinadas doenças em determinadas grandes regiões do país. / [en] Knowing about the profile of the Brazilian population covered by private health plans is very important to guide the National Health Agency policies, the health insurance companies` action strategies in many ways and how the many agents involved should stand toward this process. Our purpose is to do this in the light of the work market situation, taking into account his/her self-reported morbidity, controlling for the demographical and social-economical variables. We start by presenting an exploratory study linking health plan owning with these variables. We then make use of logistic regression models, which have been adjusted to explain de self-reported morbidity according to the individual`s position in the job market, controlling for the demographical variables. The same class of model has also been used as a tool to investigate the existence of Information Asymmetry in this type of contract. Our results show that information asymmetry cases are concentrated in some diseases. We could also find some worker groups very likely to being ill from specific diseases in some specific regions of the country.

[pt] Este trabalho investiga a abrangência das políticas educacionais voltadas para o Ensino Médio da rede pública estadual de Minas Gerais no período de 2007 a 2010, período este que correspondente ao choque de gestão implementado pelo governador Aécio Neves. Considerando o desempenho médio dos estudantes por município nas avaliações em larga escala promovidas pelo governo estadual, aspectos sócio demográficos dos municípios mineiros e características intrínsecas das Superintendências Regionais de Ensino – SRE medidas pelo índice de complexidade das superintendências - ICS, inicialmente o estudo traz referências e discute conceitos sobre políticas educacionais e abrangência das políticas educacionais, apresentando os principais indicadores sociais e demográficos dos municípios mineiros e mapeando as políticas educacionais implementadas no período analisado. Em seguida, investiga-se a relação entre a abrangência das políticas educacionais voltadas para o Ensino Médio e os indicadores sócio demográficos municipais. O resultado da estimação do modelo mostrou que embora o governo mineiro tenha implementado um conjunto variado de projetos e programas, a análise da abrangência destes programas revelou a inexistência de um planejamento integrado, sugerindo que os programas e projetos propostos foram elaborados de forma centralizada, não levando em consideração as reais demandas educacionais das escolas e as características sociais e demográficas dos municípios mineiros. Com relação à abrangência das políticas implementadas, verificou-se que as mesmas foram implementadas de forma pulverizada e com pouca unidade entre si, não chegando a constituir uma política educacional global de Estado. O trabalho também revelou a partir da análise do desempenho médio dos estudantes do terceiro ano do ensino médio que a desigualdade educacional existente entre os municípios manteve-se inalterada ao longo do período. / [en] This work investigates the scope of the education policies for the public high school education of the state of Minas Gerais from 2007 to 2010. This period corresponds to the Management Shock introduced by governor Aécio Neves. The study regards the average performance of the students per municipality in the large scale evaluations promoted by the state government, demographic aspects and intrinsic characteristics of the municipalities of the Regional Office of Education, assessed by the rate of complexity of the offices. At first, the study brings references and discusses concepts on education politics and their scope, presenting the main social and demographic indicators of the municipalities as well as mapping the education politics implemented in the period studied. Then, the relation between the scope of the education politics for the high school education and the demographic municipal indicators is investigated. The estimation results of the model showed that the analysis of the scope of these programs revealed the non-existence of an integrated planning, although the government of Minas Gerais had implemented a varied set of projects and programs. This suggests that the programs and proposed projects were prepared in a centralized way, not taking into account the real education demands of the schools and the social and demographic characteristics of the municipalities. Regarding the scope of the policies implemented, it was found that they were implemented in a scattered form and with little unity among themselves, without being able to provide a general educational state policy. The study also revealed, based on the analysis of the average performance of the 3rd year high school students, that the existing educational inequality between municipalities remained unchanged throughout the period.

Title: Fertility changes in the context of gender revolution with focus on the man's role in the family in the Czech republic Author: Mgr. Pavel Koudelka Department: Department of Demography and Geodemography Statistics Supervisor: Prof. RNDr. Jitka Rychtaříková, CSc. Abstract: Profound changes are occurring in the relations between men and women in European families and societies, a transformation that is referred to as the 'gender revolution'. Considering the unprecedented drop in fertility, some important questions may be asked: in a more egalitarian society/family, could we expect a rise in the birth rate? Does men's participation in housework and child- care have an impact on the number of children born (in a family)? Czech society is slowly adapting to gender equality, but this is more apparent in the general mood and opinions than in the reality of households and families. We drew on two waves of a panel study Generations & Gender Survey (GGS) performed in the Czech republic and compared the information about the real involvement of men in households in which (a number of) children were born in between the waves. This is an advantage of GGS over similar studies: we have information about real- ity, real facts, and not only values and attitudes to gender equality or the number of children a...

Multi-child families: patterns and background Abstract The scope of this thesis is to analyse fertility rate in the Czech Republic aiming at the third- and higher-order fertility rates. The objective consists in finding, defining and assessing the determinants and factors that may affect the higher-order fertility rates. As the pivotal source of the input data, the individual anonymized data from the Czech Republic Population and Housing Census held in 2011 were used. Only the data referring to women born in the period 1920-1971 that gave at least two live births were selected for the purpose of the detailed fertility rates analysis. The analysis was carried out by way of nominal logistic regression. The gain of the thesis is a detailed evaluation of the higher- order fertility rates pursuant to the four factors or determinants - concerning the women in question - that have been selected for this purpose, i.e.: highest level of completed education; size of the municipality of residence; religious belief; and characteristics according to the fertile partnerships. In particular the mutual links among the factors in question and the higher-order fertility rates are specified in the thesis. Keywords: multi-child families, fertility, higher-order fertility, generation, census, nominal logistic regression