This thesis is based on four papers dealing with two different areas of mathematics.Paper I–III are in combinatorics, while Paper IV is in mathematical physics.In combinatorics, we work with design theory, one of whose applications aredesigning statistical experiments. Specifically, we are interested in symmetric incompleteblock designs (SBIBDs) and triple arrays and also the relationship betweenthese two types of designs.In Paper I, we investigate when a triple array can be balanced for intersectionwhich in the canonical case is equivalent to the inner design of the correspondingsymmetric balanced incomplete block design (SBIBD) being balanced. For this we derivenew existence criteria, and in particular we prove that the residual designof the related SBIBD must be quasi-symmetric, and give necessary and sufficientconditions on the intersection numbers. We also address the question of whenthe inner design is balanced with respect to every block of the SBIBD. We showthat such SBIBDs must possess the quasi-3 property, and we answer the existencequestion for all know classes of these designs.As triple arrays balanced for intersections seem to be very rare, it is natural toask if there are any other families of row-column designs with this property. In PaperII we give necessary and sufficient conditions for balanced grids to be balancedfor intersection and prove that all designs in an infinite family of binary pseudo-Youden designs are balanced for intersection.Existence of triple arrays is an open question. There is one construction of aninfinite, but special family called Paley triple arrays, and one general method forwhich one of the steps is unproved. In Paper III we investigate a third constructionmethod starting from Youden squares. This method was suggested in the literaturea long time ago, but was proven not to work by a counterexample. We show interalia that Youden squares from projective planes can never give a triple array bythis method, but that for every triple array corresponding to a biplane, there is asuitable Youden square for which the method works. Also, we construct the familyof Paley triple arrays by this method.In mathematical physics we work with solitons, which in nature can be seen asself-reinforcing waves acting like particles, and in mathematics as solutions of certainnon-linear differential equations. In Paper IV we study the non-commutativeversion of the two-dimensional Toda lattice for which we construct a family ofsolutions, and derive explicit solution formulas. / Denna avhandling baseras på fyra artiklar som behandlar två olika områden avmatematiken. Artikel I-III ligger inom kombinatoriken medan artikel IV behandlarmatematisk fysik.Inom kombinatoriken arbetar vi med designteori som bland annat har tillämpningardå man ska utforma statistiska experiment.I artikel I undersöker vi när en triple array kan vara snittbalanserad vilket i detkanoniska fallet är ekvivalent med den inre designen till den korresponderandesymmetriska balanserade inkompletta blockdesignen (SBIBD) är balanserad. För dettapresenterar vi nya nödvändiga villkor. Speciellt visar vi att den residuala designentill den korresponderande SBIBDen måste vara kvasi-symmetrisk och ger nödvändigaoch tillräckliga villkor för dess blockskärningstal. Vi adresserar ocksåfrågan om när den inre designen är balanserad med avseende på alla SBIBDensblock. Vi visar att en sådan SBIBD måste ha den egenskap som kallas kvasi-3 ochsvarar på existensfrågan för alla kända klasser av sådana designer.Eftersom snittbalanserade triple arrays verkar vara väldigt sällsynta är detnaturligt att fråga om det finns andra familjer av rad-kolumn designer som hardenna egenskap. I artikel II ger vi nödvändiga och tillräckliga villkor för att enbalanced grid ska vara snittbalanserad och visar att alla designer i en oändlig familjav binära pseudo-Youden squares är snittbalanserade.Existensfrågan för triple arrays är öppen fråga. Det finns en konstruktionsmetodför en oändlig men speciell familj kallad Paley triple arrays och så finns det enallmän metod för vilken ett steg är obevisat. I artikel III undersöker vi en tredjekonstruktionsmetod som utgår från Youden squares. Denna metod föreslogs i litteraturenför länge sedan men blev motbevisad med hjälp av ett motexempel. Vivisar bland annat att Youden squares från projektiva plan aldrig kan ge en triplearray med denna metod, men att det för varje triple array som korresponderartill ett biplan, så finns det en lämplig Youden square för vilken metoden fungerar.Vidare konstruerar vi familjen av Paley triple arrays med denna metod.Inom matematisk fysik arbetar vi med solitoner som man i naturen kan få sesom självförstärkande vågor vilka beter sig som partiklar. Inom matematiken ärde lösningar till vissa ickelinjära differentialekvationer. I artikel IV studerar vi dettvådimensionella Toda-gittret för vilken vi konstruerar en familj av lösningar ochäven explicita lösningsformler.

The most significant challenge for next wireless generation is to work opportunistically on the spectrum without a fixed spectrum allocation. Cognitive Radio (CR) is the candidate technology to utilize spectrum white space, which requires the CR to change its operating channel as the white space moves. In a CR ad-hoc network, each node could tune to a different channel; as a result, it cannot communicate with other nodes. This different tuning is due to the difficulty of maintaining Common Control Channel (CCC) in opportunistic spectrum network, and keeping the nodes synchronized in ad-hoc network. The CR ad-hoc network requires a protocol to match tuning channels between ad-hoc nodes, namely, rendezvous channels. In this thesis, two distributed Medium Access Control (MAC) protocols are designed that provide proper rendezvous channel without CCC or synchronization. The Balanced Incomplete Block Design (BIBD) is used in both protocols to provide our protocols a method of rendezvous between CR ad-hoc nodes. In fact, the BIBD guarantees there is at least one common element between any two blocks. If the channels are assigned to the BIBD elements and the searching sequence to the BIBD block, there is a guarantee of a rendezvous at least in one channel for each searching sequence. The first protocol uses a single-BIBD sequence and a multi-channel sensing. Alternatively, the second protocol uses a multi-BIBD sequence and a single-channel sensing. The single-sequence protocol analysis is based on the discrete Markov Chain. At the same time, the sequence structure of the BIBD in a multi-sequence protocol is used to define the Maximum Time to Rendezvous (MTTR). The simulation results confirm that the protocols outperform other existing protocols with respect to Time to Rendezvous (TTR), channel utilization, and network throughput. In addition, both protocols fairly distribute the network load on channels, and share the channels fairly among network nodes. This thesis provides straight forward and efficiently distributed MAC protocols for the CR ad-hoc networks.

The most significant challenge for next wireless generation is to work opportunistically on the spectrum without a fixed spectrum allocation. Cognitive Radio (CR) is the candidate technology to utilize spectrum white space, which requires the CR to change its operating channel as the white space moves. In a CR ad-hoc network, each node could tune to a different channel; as a result, it cannot communicate with other nodes. This different tuning is due to the difficulty of maintaining Common Control Channel (CCC) in opportunistic spectrum network, and keeping the nodes synchronized in ad-hoc network. The CR ad-hoc network requires a protocol to match tuning channels between ad-hoc nodes, namely, rendezvous channels. In this thesis, two distributed Medium Access Control (MAC) protocols are designed that provide proper rendezvous channel without CCC or synchronization. The Balanced Incomplete Block Design (BIBD) is used in both protocols to provide our protocols a method of rendezvous between CR ad-hoc nodes. In fact, the BIBD guarantees there is at least one common element between any two blocks. If the channels are assigned to the BIBD elements and the searching sequence to the BIBD block, there is a guarantee of a rendezvous at least in one channel for each searching sequence. The first protocol uses a single-BIBD sequence and a multi-channel sensing. Alternatively, the second protocol uses a multi-BIBD sequence and a single-channel sensing. The single-sequence protocol analysis is based on the discrete Markov Chain. At the same time, the sequence structure of the BIBD in a multi-sequence protocol is used to define the Maximum Time to Rendezvous (MTTR). The simulation results confirm that the protocols outperform other existing protocols with respect to Time to Rendezvous (TTR), channel utilization, and network throughput. In addition, both protocols fairly distribute the network load on channels, and share the channels fairly among network nodes. This thesis provides straight forward and efficiently distributed MAC protocols for the CR ad-hoc networks.

Dados consistindo de medidas repetidas tomadas em um mesmo indivíduo são muito comuns na agricultura e biologia. A modelagem de dados desta natureza usualmente envolve a caracterização da relação entre medidas repetidas e covariáveis. Em muitas aplicações, a relação proposta entre as medidas repetidas tem um comportamento não-linear nos parâmetros desconhecidos de interesse. Por exemplo, em estudo de crescimento de arvores, geralmente o comportamento da variável resposta e melhor descrito por um modelo não-linear nos parâmetros porque estes modelos caracterizam melhor a realidade dos fenômenos biológicos em estudo e porque e possvel uma interpretação biológica dos parâmetros. A presença de medidas repetidas em um indivíduo requer um cuidado particular na caracterização da variac~ao entre medidas dentro de uma mesma unidade experimental e entre unidades. Dados observados na mesma unidade experimental são correlacionados, e é provável que essa correlação decaia ao longo do tempo e que haja variações entre as medidas. Neste trabalho considera-se duas estruturas de covariâncias: erros aleatórios e independentes com media zero e variância 2, esta formulação não incorpora uma possível dependência entre as observações tomadas no mesmo indivíduo, que e comum em estudos longitudinais. Portanto, e importante ter modelos que acomodem a dependência (entre e dentre dos indivíduos) e a heterocedasticidade na sua formulação. Então, considerou-se outra estrutura de covariância, chamada não-estruturada, com a nulidade de permitir que os dados \"contribuam\" na estrutura da matriz de covariâncias. Neste trabalho analisou-se um delineamento em blocos casualizados assumindo um modelo bayesiano hierárquico de três estágios. No primeiro estagio, modelou-se a variação dentro do indivíduo, no segundo estagio a variação entre indivíduos. Este estágio da hierarquia da uma relação explícita entre os parâmetros aleatórios do modelo. No terceiro estagio foi incorporada a incerteza relativa as quantidades desconhecidas no modelo. Para a analise estatística, utilizou-se um conjunto de dados de um experimento conduzido pela Klabin Fabricadora de Papel e Celulose S.A., do Paraná, Brasil, envolvendo duas espécies de eucaliptos e espaçamentos 10 que foram completamente aleatorizados em blocos; em que a variável resposta, definida como o volume solido com casca, foi observada em 16 indivíduos, e quatro indivíduos foram aleatorizados para cada um dos quatro tratamentos. O modelo de Gompertz foi utilizado para representar o crescimento esperado das arvores de eucaliptos. Usando o modelo de Gompertz e possível ter uma interpretação biológica dos parâmetros. Considerando diferentes estruturas de covariância entre as observações, um programa para a analise de dados foi implementado no WinBUGS. / Data consisting of repeated measurements taken on each of a number of individual arise commonly in agricultural and biological applications. Modeling data of this kind usually involves the characterization of the relationship between the measured response and covariate. In many application,the proposed systematic relationship between the measured response is nonlinear in unknown parameters of interest. For example, in growing studies of trees, generally the behavior of the response variable over time is best described by a nonlinear model in the parameters of interest because this model characterizes better the reality of biological phenomenon in study and because is possible to do a biological interpretation of the parameters. The presence of repeated observations on an individual requires particular care in characterizing the random variation among measurements within a given individual and random variation among individuals. Likely the observations made on the same unit are correlated, probability decreasing over time and possible the variances are growth among the serial measurements. In this work we considerer two covariance structure namely: independent random error vectors whose elements are also independent with mean zero and variance 2, but this formulation does not incorporate possible dependence among the observation taken on the same subject neither that in longitudinal studies it is quite common to have the variances varying along the ordered dimension. Therefore, it is important to have models that allow for both dependences (within and between subjects) and also for heteroscedasticity in their formulations. Then we considerer other covariance structure namely: the structure is a non structure which permit that the data set \\tells\"about the covariance structure. In this work we analyzed a randomized block design assuming a three-stage Bayesian hierarchical model. On the rst stage, we model the intra-individual variation, on the second stage, we model the inter-individual variation. This stage of hierarchy gives an explicit relationship between the random parameters. On the third stage, we dene the hyperprior distribution to incorporate the uncertainty about the unknown parameters. For the statistical analysis we used a data set 12 from a experiment conducted at Klabin Fabricadora de Papel e Celulose S.A. from Parana, Brazil, involving two Eucalyptus species and two spacings in a complete randomized design; where the response variable, dened as the solid volume with bark, was evaluated for each of 16 subjects (groups of Eucalyptus trees), and four subjects were randomly assigned to one of four treatments. To represent the expected growing function of the Eucalyptus\'s tree Gompertz nonlinear model was used. Using the Gompertz nonlinear model is possible to a biological interpretation of the parameters. Considering dierent structures covariance within subjects, a program for the analysis of the data set was implemented in WinBUGS.

Dados consistindo de medidas repetidas tomadas em um mesmo indivíduo são muito comuns na agricultura e biologia. A modelagem de dados desta natureza usualmente envolve a caracterização da relação entre medidas repetidas e covariáveis. Em muitas aplicações, a relação proposta entre as medidas repetidas tem um comportamento não-linear nos parâmetros desconhecidos de interesse. Por exemplo, em estudo de crescimento de arvores, geralmente o comportamento da variável resposta e melhor descrito por um modelo não-linear nos parâmetros porque estes modelos caracterizam melhor a realidade dos fenômenos biológicos em estudo e porque e possvel uma interpretação biológica dos parâmetros. A presença de medidas repetidas em um indivíduo requer um cuidado particular na caracterização da variac~ao entre medidas dentro de uma mesma unidade experimental e entre unidades. Dados observados na mesma unidade experimental são correlacionados, e é provável que essa correlação decaia ao longo do tempo e que haja variações entre as medidas. Neste trabalho considera-se duas estruturas de covariâncias: erros aleatórios e independentes com media zero e variância 2, esta formulação não incorpora uma possível dependência entre as observações tomadas no mesmo indivíduo, que e comum em estudos longitudinais. Portanto, e importante ter modelos que acomodem a dependência (entre e dentre dos indivíduos) e a heterocedasticidade na sua formulação. Então, considerou-se outra estrutura de covariância, chamada não-estruturada, com a nulidade de permitir que os dados \"contribuam\" na estrutura da matriz de covariâncias. Neste trabalho analisou-se um delineamento em blocos casualizados assumindo um modelo bayesiano hierárquico de três estágios. No primeiro estagio, modelou-se a variação dentro do indivíduo, no segundo estagio a variação entre indivíduos. Este estágio da hierarquia da uma relação explícita entre os parâmetros aleatórios do modelo. No terceiro estagio foi incorporada a incerteza relativa as quantidades desconhecidas no modelo. Para a analise estatística, utilizou-se um conjunto de dados de um experimento conduzido pela Klabin Fabricadora de Papel e Celulose S.A., do Paraná, Brasil, envolvendo duas espécies de eucaliptos e espaçamentos 10 que foram completamente aleatorizados em blocos; em que a variável resposta, definida como o volume solido com casca, foi observada em 16 indivíduos, e quatro indivíduos foram aleatorizados para cada um dos quatro tratamentos. O modelo de Gompertz foi utilizado para representar o crescimento esperado das arvores de eucaliptos. Usando o modelo de Gompertz e possível ter uma interpretação biológica dos parâmetros. Considerando diferentes estruturas de covariância entre as observações, um programa para a analise de dados foi implementado no WinBUGS. / Data consisting of repeated measurements taken on each of a number of individual arise commonly in agricultural and biological applications. Modeling data of this kind usually involves the characterization of the relationship between the measured response and covariate. In many application,the proposed systematic relationship between the measured response is nonlinear in unknown parameters of interest. For example, in growing studies of trees, generally the behavior of the response variable over time is best described by a nonlinear model in the parameters of interest because this model characterizes better the reality of biological phenomenon in study and because is possible to do a biological interpretation of the parameters. The presence of repeated observations on an individual requires particular care in characterizing the random variation among measurements within a given individual and random variation among individuals. Likely the observations made on the same unit are correlated, probability decreasing over time and possible the variances are growth among the serial measurements. In this work we considerer two covariance structure namely: independent random error vectors whose elements are also independent with mean zero and variance 2, but this formulation does not incorporate possible dependence among the observation taken on the same subject neither that in longitudinal studies it is quite common to have the variances varying along the ordered dimension. Therefore, it is important to have models that allow for both dependences (within and between subjects) and also for heteroscedasticity in their formulations. Then we considerer other covariance structure namely: the structure is a non structure which permit that the data set \\tells\"about the covariance structure. In this work we analyzed a randomized block design assuming a three-stage Bayesian hierarchical model. On the rst stage, we model the intra-individual variation, on the second stage, we model the inter-individual variation. This stage of hierarchy gives an explicit relationship between the random parameters. On the third stage, we dene the hyperprior distribution to incorporate the uncertainty about the unknown parameters. For the statistical analysis we used a data set 12 from a experiment conducted at Klabin Fabricadora de Papel e Celulose S.A. from Parana, Brazil, involving two Eucalyptus species and two spacings in a complete randomized design; where the response variable, dened as the solid volume with bark, was evaluated for each of 16 subjects (groups of Eucalyptus trees), and four subjects were randomly assigned to one of four treatments. To represent the expected growing function of the Eucalyptus\'s tree Gompertz nonlinear model was used. Using the Gompertz nonlinear model is possible to a biological interpretation of the parameters. Considering dierent structures covariance within subjects, a program for the analysis of the data set was implemented in WinBUGS.

Thesis (Ph.D, Civil Engineering) -- Queen's University, 2011-01-31 20:52:11.162 / One of the most severe hazards for buried pipelines, which are sometimes referred to as lifelines due to their essential role in delivering vital resources, is the hazard due to Permanent Ground Deformation (PGD). Earthquake induced PGD can be caused by surface faulting, landslides and seismic settlement. In this thesis, the behaviour of buried pipelines subject to normal faulting has been experimentally investigated through a series of centrifuge tests performed on both continuous and jointed pipelines. Both pipe and soil displacements were measured using image analysis. Signal processing techniques were then developed to filter this data so as to enable the calculation of curvature and other aspects of the response from the observed pipe deformations. First, a series of centrifuge tests was conducted on continuous pipelines of varying materials, representing a wide range of pipe stiffness relative to the soil and investigating the effect of pipe stiffness relative to the soil on soil-pipe interaction. The experimentally derived p-y curves at different locations along the pipe were compared to the recommended soil-pipe interaction models in the relevant guidelines. These p-y curves showed that the central shearing region was not captured well with independent soil springs. The response of the pipelines predicted by the ALA (2001) guideline, however, was shown to match the experimental data within 50%. Two new simplified design approaches were then developed. The first features calculations based on simplified pressure distributions. The second featured peak curvature normalized using a characteristic length, ipipe, the distance from peak to zero moment. A series of centrifuge tests using brittle pipes was also performed. The pipes were buried at three different depths, and the post-failure fracture angle of the pipe was measured to be used as an input for design of liners. Based on the experimental data, a computationally efficient approach was developed to estimate the initial fracture angle which occurs immediately after the pipe breaks. The last series of centrifuge tests was conducted on jointed pipelines with five different joint stiffnesses to investigate the flexural behaviour of jointed pipelines under normal faulting. Based on the observed pipe response, a simplified kinematic model was proposed to estimate the maximum joint rotation for a given geometry, pipe segment length, and the magnitude of the imposed ground displacement. / Ph.D

This master´s thesis deals with processing and analysis of data, acquired from experimental examination performed with functional magnetic resonance imaging technique. It is an oddball type experimental task and its goal is an examination of cognitive functions of the subject. The principles of functional magnetic resonance imaging, possibilities of experimental design, processing of acquired data, modeling of a response of organism and statistical analysis are described in this work. Furthermore, particular parts of preprocessing and analysis are carried out using real data set from experiment. The main goal of this work is suggestion and realization of model, which enables advanced categorization of stimuli, considering the type of previous rare stimulus and the number of frequent stimuli within them. With its in-depth categorization, this model enables detail exploration of cerebral processes, associated mainly with attention, memory, expectancy or cognitive closure. The second point of that work is an evaluation of models of hemodynamic response, which are applied in statistical analysis of data from fMRI experiment. Comparison of basis functions, the models of hemodynamic response to experimental stimulation used for general linear model, is performed in this work. The result of this comparison is an evaluation of detection efficiency of activated voxels, false positivity rate and computational and user difficulty.

No description available.

Messinstrumente stellen in der wissenschaftlichen Forschung ein wesentliches Element zur Erkenntnisgewinnung dar. Das Besondere an Messinstrumenten im Large-scale Assessment in der Bildungsforschung ist, dass diese normalerweise für jede Studie neu konstruiert werden und dass die Testteilnehmer verschiedene Versionen des Tests bekommen. Hierbei ergeben sich potentielle Gefahren für die Akkuratheit und Validität der Messung. Um solche Gefahren zu minimieren, sollten (a) die Ursachen für Verzerrungen der Messung und (b) mögliche Strategien zur Optimierung der Messinstrumente eruiert werden. Deshalb wird in der vorliegenden Dissertation spezifischen Fragestellungen im Rahmen dieser beiden Forschungsanliegen nachgegangen. / Measurement instruments are essential elements in the acquisition of knowledge in scientific research. Special features of measurement instruments in large-scale assessments of student achievement are their frequent reconstruction and the usage of different test versions. Here, threats for the accuracy and validity of the measurement may emerge. To minimize such threats, (a) sources for potential bias of measurement and (b) strategies to optimize measuring instruments should be explored. Therefore, the present dissertation investigates several specific topics within these two research areas.