Statistical isomorphism of three-level factional factorial designs

From a statistician's standpoint, the interesting kind of isomorphism for fractional factorial designs depends on the statistical application. Combinatorially isomorphic fractional factorial designs may have different statistical properties when factors are quantitative. This idea is illustrated by using Latin squares of order 3 to obtain fractions of the 3(3) factorial. design in 18 runs.

Residence and Autonomy in Postcolonial Maharashtra

Réalisé à l'aide de données harmonisées par le Integrated Public Use Microdata Series (IPUMS).

Seis sigma : um estudo aplicado ao setor eletrônico

O tema deste trabalho é a metodologia Seis Sigma. O objetivo principal é apresentar e desenvolver uma metodologia para aplicação do Seis Sigma e desenvolver estudo aplicado. Inicialmente, é realizada uma revisão bibliográfica, enfocando os temas qualidade, satisfação do cliente e Seis Sigma. Na seqüência, é apresentada uma proposta de modelo para a aplicação do Seis Sigma em processos industriais. O modelo proposto aborda a estrutura para aplicação do Seis Sigma, os treinamentos e as principais atividades e ferramentas do ciclo DMAIC (Define, Measure, Analyse, Improve e Control). O modelo proposto é aplicado através de uma série de projetos. Um desses projetos é descrito detalhadamente, ilustrando o modelo proposto. Os resultados apresentados na aplicação do Seis Sigma são amplamente positivos. Os resultados obtidos abrangem melhorias radicais de qualidade, produtividade e custos. As atividades e ferramentas que apresentaram melhores resultados são destacadas. Apesar do Seis Sigma estar associado à aplicação intensiva de estatística, verifica-se que, de um modo geral, o Seis Sigma pode ser aplicado de um modo mais simplificado.

Gestão ambiental e competitividade no setor da construção civil :um estudo sobre a aceitabilidade de práticas ambientais no mercado imobiliário

This work investigates the importance of Eco-Materiais applied in the civil construction and the necessity of knowledge of the real estate market, showing the importance of application of recycled products where inserted inside of a bigger scope of the sustainable development which has the subjects as the ambient management. In the theoretical referencial boarded the recycled and perfectly ecological products that demonstrate the applicability of this type of products in the sector of the civil construction, beyond the economic and social placesThe main popouse of the real estate sector is to show the awareness and demonstration in the negotiation of property constructed with these products, therefore, already it is practised by the market of the civil construction where much time sao commercialized by real estate and the its correctors lacking in same knowledge that is more deepened on these materials, having this evidence been made with statistical application of questionnaire and analyzed with base. We finish showing the statistical results with application of 142 questionnaires in a universe of 145 real estate from Natal/RN. With this, we may say that today exists a very strong concern with the environmental laws and the generated ambient impact in the civil construction and that the real estate sector has a feeling that the necessity of if inserting in this process, therefore, the real estate market in our State is in expansion and sensible to the necessity of changes, since the Natal/RN meets in the script of the tourism the International demanding of the professional that a globalized knowledge works with property, so the necessity of understanding the environmental laws and understanding application of the echo-materias used in the construction will give a better quality of life and at the same time to protect the nature

Climatic variables and altitude as predictors of anuran species richness and number of reproductive modes in Brazil

Because anuran species are highly dependent on environmental variables, we hypothesized that anuran species richness and the number of reproductive modes from different Brazilian localities vary according to climatic and altitudinal variables. Published data were compiled from 36 Brazilian localities and climatic and altitudinal data were extracted from an available database. A partial redundancy analysis (pRDA) showed that 23.5% of the data set's variation was explained by climatic and altitudinal data, while the remaining 76.5% remained unexplained. This analysis suggests that other factors not analysed herein may also be important for predicting anuran species richness and the number of reproductive modes in Brazil. Altitude and total annual rainfall were positively correlated with anuran species richness and the number of reproductive modes, and total annual rainfall was strongly associated with these two biotic variables in the triplot of pRDA. The positive association of total annual rainfall and the negative association of the concentration of annual rainfall were already expected based on physiological and reproductive requirements of anurans. On the other hand, temperature was not associated with richness or the number of reproductive modes. Copyright © 2010 Cambridge University Press.

Fonte alternativa de nitrogênio na adubação de pastagem de capim-tobiatã

Pós-graduação em Zootecnia - FMVZ

La competencia lingüística en el uso de los grupos nominales en inglés académico y profesional y su didáctica: estudio empírico

Esta tesis doctoral consiste en un estudio empírico de la competencia lingüística del alumnado de la Escuela Técnica Superior de Ingenieros Industriales (ETSII), de la Universidad Politécnica de Madrid (UPM) en el uso de los grupos nominales (GN) en inglés profesional y académico (IPA). Mediante el análisis estadístico de los datos de las pruebas de nivel de inglés general y de conocimiento de los rasgos lingüísticos diferenciadores del IPA, se ha buscado constatar que los GN, tan presentes en los textos ingleses de carácter científico-técnico, son uno de los rasgos IPA que más dificultad presenta para el alumnado de ingeniería de habla española, cuya enseñanza es necesario abordar de forma diferenciada para que se puedan usar correctamente. El trabajo comienza presentando las características lingüísticas generales del IPA, entre las que destaca la frecuente presencia de los GN en las comunicaciones de carácter científico y técnico. Comprueba la hipótesis de que la comprensión y el uso de los GN es el rasgo lingüístico que ofrece mayor dificultad para esta población. Se detiene en explicar las propiedades de los GN en inglés y de las palabras que lo forman; es decir, muestra clases de palabras, regularidades y excepciones que están presentes en los textos científico-técnicos. También expone y razona el comportamiento de las distintas categorías gramaticales que pueden figurar como premodificadoras y se centra en ejemplos reales y datos objetivos, para llegar a conclusiones cuantitativas sobre el uso y la frecuencia de los GN en el discurso científico-técnico, así como en los diferentes grados de dificultad que dichas construcciones presentan al alumnado. El método de investigación seguido consiste en la recopilación y análisis estadístico de los datos procedentes de una muestra de población de alumnos de 5º curso de la ETSII de la UPM utilizando el análisis de la varianza ANOVA. Los datos se han tratado teniendo en cuenta el nivel general de inglés de cada alumno, según el Marco Común Europeo de Referencia para las Lenguas (MCERL), que oscila entre el nivel A2 y el C1, con una mayor frecuencia de B1 y B2. Las conclusiones se basan en el análisis de los datos empíricos obtenidos, que nos permiten deducir unos principios generales relevantes respecto al uso de los GN –simples y complejos- en el inglés para la ciencia y la tecnología (ICT) y al grado de dificultad que sus distintos tipos presentan al alumnado, con un grado de confianza superior al 95%. A partir de estos datos se ofrece un planteamiento didáctico que facilite la comprensión y elaboración de los distintos tipos de GN. La estructura general de la tesis se divide en seis capítulos. El capítulo 1 es una introducción en la que se presentan las razones que han motivado esta tesis, las hipótesis, los objetivos y la metodología de la misma. En el capítulo 2 se recogen los rasgos lingüísticos distintivos del ICT, incidiendo en la relación competencia comunicativa/competencia lingüística. En el capítulo 3 se analizan los GN profundizando en aspectos lingüísticos. El capítulo 4 se centra en el estudio empírico propiamente dicho y en el análisis estadístico de los datos. Del análisis se extraen las conclusiones objetivas sobre la dificultad que presentan los diferentes rasgos IPA analizados, con detenimiento en los GN simples y complejos. El capítulo 5 ofrece un planteamiento didáctico práctico sobre la enseñanza de los GN en el contexto del ICT, con una investigación sobre el terreno y el análisis estadístico de los resultados obtenidos antes y después de la aplicación didáctica. En el capítulo 6 se comentan los resultados obtenidos a lo largo del estudio, aportando las conclusiones, las limitaciones y las recomendaciones para futuros trabajos de investigación sobre el tema de la tesis. ABSTRACT This doctoral thesis consists of an empirical study of the linguistic competence of the Technical University of Madrid (UPM) industrial engineering students on the use of nominal groups (NG) in English for Academic and Professional Purposes (EAPP). In order to confirm that NG is the EAPP linguistic feature that presents the greatest difficulty to Spanish engineering students, a statistical analysis of the data obtained from the application of a general English test and the EAPP linguistic features tests -developed for this purpose- was carried out. Consequently, this linguistic feature needs to be specifically taught in order to be used correctly by Spanish engineering students. The study begins by presenting the general language characteristics of EAPP, among which the frequent presence of NG in scientific and technical writings stands out. It verifies the hypothesis that the understanding and use of NG in English is the most difficult linguistic feature for Spanish engineering students. It explains the features of English NG analyzing the words they are composed of by depicting the types of words, regularities and exceptions that are present in technical and scientific English. It also explains the behavior of the different grammar categories that act as pre-modifiers of the noun and focuses on real examples taken from authentic publications and quantitative data, to reach objective conclusions about the use and degree of difficulty of the NG for the students. The research methodology includes the gathering of data from the 5th year industrial engineering students´ tests and analyzing them by means of the ANOVA statistical application. The data have been treated in relation to the students’ Common European Framework of Reference for Languages (CEFRL) levels, which range from A2 to C1, although the majority lye between B1 and B2 levels. The conclusions are based on the results, which allow us to obtain relevant information about the understanding and use of NG –simple and complex- by the focus group, with a 95% confidence level. From these data, a methodological approach to NG teaching has been tested to help students to acquire such linguistic feature. The general structure of this thesis is divided into six chapters. The first is an introduction containing the reasons that have motivated this piece of research, the hypotheses, objectives and methodology employed. The second deals with the distinctive linguistic features of EST underlying the concepts of linguistic and communicative competence. Chapter three focuses on the grammar aspects of NG. Chapter four contains the empirical study and the statistical analysis of the data. Results allow us to reach objective conclusions about the degree of difficulty of the EAPP linguistic features studied, focusing on simple and complex NG. Chapter five discusses a methodological approach to the teaching of NG in an EST context, comparing students’ test results before and after the NG teaching application. Finally, chapter six discusses the findings obtained along the study, presenting the conclusions, limitations and recommendations for future research in this area.

Sequential, Bayesian geostatistics:a principled method for large data sets

The principled statistical application of Gaussian random field models used in geostatistics has historically been limited to data sets of a small size. This limitation is imposed by the requirement to store and invert the covariance matrix of all the samples to obtain a predictive distribution at unsampled locations, or to use likelihood-based covariance estimation. Various ad hoc approaches to solve this problem have been adopted, such as selecting a neighborhood region and/or a small number of observations to use in the kriging process, but these have no sound theoretical basis and it is unclear what information is being lost. In this article, we present a Bayesian method for estimating the posterior mean and covariance structures of a Gaussian random field using a sequential estimation algorithm. By imposing sparsity in a well-defined framework, the algorithm retains a subset of “basis vectors” that best represent the “true” posterior Gaussian random field model in the relative entropy sense. This allows a principled treatment of Gaussian random field models on very large data sets. The method is particularly appropriate when the Gaussian random field model is regarded as a latent variable model, which may be nonlinearly related to the observations. We show the application of the sequential, sparse Bayesian estimation in Gaussian random field models and discuss its merits and drawbacks.

The application of statistical process control charts to the detection and monitoring of hospital-acquired infections

The monitoring of infection control indicators including hospital-acquired infections is an established part of quality maintenance programmes in many health-care facilities. However, surveillance data use can be frustrated by the infrequent nature of many infections. Traditional methods of analysis often provide delayed identification of increasing infection occurrence, placing patients at preventable risk. The application of Shewhart, Cumulative Sum (CUSUM) and Exponentially Weighted Moving Average (EWMA) statistical process control charts to the monitoring of indicator infections allows continuous real-time assessment. The Shewhart chart will detect large changes, while CUSUM and EWMA methods are more suited to recognition of small to moderate sustained change. When used together, Shewhart and EWMA methods are ideal for monitoring bacteraemia and multiresistant organism rates. Shewhart and CUSUM charts are suitable for surgical infection surveillance.

Assessment of climate change statistical downscaling methods: Application and comparison of two statistical methods to a single site in Lisbon

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do grau de Mestre em Engenharia do Ambiente

Factor analysis in the stock market: An application to statistical arbitrage

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics

Application of multivariate statistical process control to fuel cell manufacturing

Univariate statistical control charts, such as the Shewhart chart, do not satisfy the requirements for process monitoring on a high volume automated fuel cell manufacturing line. This is because of the number of variables that require monitoring. The risk of elevated false alarms, due to the nature of the process being high volume, can present problems if univariate methods are used. Multivariate statistical methods are discussed as an alternative for process monitoring and control. The research presented is conducted on a manufacturing line which evaluates the performance of a fuel cell. It has three stages of production assembly that contribute to the final end product performance. The product performance is assessed by power and energy measurements, taken at various time points throughout the discharge testing of the fuel cell. The literature review performed on these multivariate techniques are evaluated using individual and batch observations. Modern techniques using multivariate control charts on Hotellings T2 are compared to other multivariate methods, such as Principal Components Analysis (PCA). The latter, PCA, was identified as the most suitable method. Control charts such as, scores, T2 and DModX charts, are constructed from the PCA model. Diagnostic procedures, using Contribution plots, for out of control points that are detected using these control charts, are also discussed. These plots enable the investigator to perform root cause analysis. Multivariate batch techniques are compared to individual observations typically seen on continuous processes. Recommendations, for the introduction of multivariate techniques that would be appropriate for most high volume processes, are also covered.

Statistical pattern recognition for audio-forensics : empirical investigations on the application scenarios audio steganalysis and microphone forensics

Magdeburg, Univ., Fak. für Informatik, Diss., 2013

Improved statistical evaluation of group differences in connectomes by screening-filtering strategy with application to study maturation of brain connections between childhood and adolescence.

Detecting local differences between groups of connectomes is a great challenge in neuroimaging, because the large number of tests that have to be performed and the impact on multiplicity correction. Any available information should be exploited to increase the power of detecting true between-group effects. We present an adaptive strategy that exploits the data structure and the prior information concerning positive dependence between nodes and connections, without relying on strong assumptions. As a first step, we decompose the brain network, i.e., the connectome, into subnetworks and we apply a screening at the subnetwork level. The subnetworks are defined either according to prior knowledge or by applying a data driven algorithm. Given the results of the screening step, a filtering is performed to seek real differences at the node/connection level. The proposed strategy could be used to strongly control either the family-wise error rate or the false discovery rate. We show by means of different simulations the benefit of the proposed strategy, and we present a real application of comparing connectomes of preschool children and adolescents.