Le positionnement d'objets sous-marins représente un enjeu stratégique pour des applications militaires, industrielles et scientifiques. Les systèmes de positionnement reposent sur des signaux de type SONAR « Sound Navigation and Ranging ». Plusieurs émetteurs synchrones avec des temps d'émission connus sont alors considérés, l'objectif étant que la position d'un récepteur se fasse en fonction des positions des émetteurs. Nous avons la main mise sur la détection des signaux en réception d'une part, et sur le choix des formes d'ondes à l'émission d'autre part. La méthode de détection, basée sur le filtrage adapté, se veut robuste aux différentes perturbations engendrées par le canal de propagation (pertes par transmission, multi-trajets) et par le système lui-même (environnement multi-émetteurs). De plus, la détection restreinte à une somme de tests d'hypothèses binaires, nécessite un fonctionnement en temps réel. A l'émission, les formes d'ondes doivent permettre d'identifier indépendamment les émetteurs les uns des autres. Ainsi les travaux portent essentiellement sur les modulations FHSS, les paramètres de construction de ces signaux étant alors choisis de sorte à optimiser la méthode de détection étudiée. Enfin, l'implémentation des algorithmes issus de ces travaux sur des systèmes embarqués a permis leur validation sur des données enregistrées, puis en conditions réelles. Ces essais ont été réalisés avec l'entreprise ALSEAMAR, dans le cadre de la thèse CIFRE-DGA. / There is an increasing interest in underwater positioning system in industry (off-shore, military, and biology). In order to localize a receiver relative to a grid of transmitters, thanks to the knowledge of positions and transmission time, it needs to detect each signal and estimate the TOA (Time Of Arrival). Thus, a range between a transmitter and receiver can be deduced by estimation of TOA. When receiver knows three ranges at least, it can deduce its position by triangulation. This work takes into account signal detection, and waveform choice. Detection method, based on matched filter, needs to be robust face to propagation channel (transmission loss, multi-paths) and to the system (multi-users environment). Moreover, the detection structure, being a combination of binary hypothesis testing, must work in real time. In a CDMA context which requires to distinguish each transmitter, the FHSS (Frequency Hopped Spread Spectrum) modulation, allocating one code per user, is adapted. FHSS signals performance, depending of the number of frequency shifts N and the time-bandwidth product, are analyzed from detection criterion point of view. Moreover, detection method and adapted signal is tested in a shallow water environment.The research was supported by ALSEAMAR and DGA-MRIS scholarship.

It is envisioned that future cyber-physical systems will provide a more convenient living and working environment. However, such systems need inevitably to collect and process privacy-sensitive information. That means the benefits come with potential privacy leakage risks. Nowadays, this privacy issue receives more attention as a legal requirement of the EU General Data Protection Regulation. In this thesis, privacy-by-design approaches are studied where privacy enhancement is realized through taking privacy into account in the physical layer design. This work focuses in particular on cyber-physical systems namely sensor networks and smart grids. Physical-layer performance and privacy leakage risk are assessed by hypothesis testing measures. First, a sensor network in the presence of an informed eavesdropper is considered. Extended from the traditional hypothesis testing problems, novel privacy-preserving distributed hypothesis testing problems are formulated. The optimality of deterministic likelihood-based test is discussed. It is shown that the optimality of deterministic likelihood-based test does not always hold for an intercepted remote decision maker and an optimal randomized decision strategy is completely characterized by the privacy-preserving condition. These characteristics are helpful to simplify the person-by-person optimization algorithms to design optimal privacy-preserving hypothesis testing networks. Smart meter privacy becomes a significant issue in the development of smart grid technology. An innovative scheme is to exploit renewable energy supplies or an energy storage at a consumer to manipulate meter readings from actual energy demands to enhance the privacy. Based on proposed asymptotic hypothesis testing measures of privacy leakage, it is shown that the optimal privacy-preserving performance can be characterized by a Kullback-Leibler divergence rate or a Chernoff information rate in the presence of renewable energy supplies. When an energy storage is used, its finite capacity introduces memory in the smart meter system. It is shown that the design of an optimal energy management policy can be cast to a belief state Markov decision process framework. / <p>QC 20170815</p>

Le problème de détection et localisation d’anomalie peut être traité comme le problème du test entre des hypothèses multiples (THM) dans le cadre bayésien. Le test bayésien avec la fonction de perte 0−1 est une solution standard pour ce problème, mais les hypothèses alternatives pourraient avoir une importance tout à fait différente en pratique. La fonction de perte 0−1 ne reflète pas cette réalité tandis que la fonction de perte quadratique est plus appropriée. L’objectif de cette thèse est la conception d’un test bayésien avec la fonction de perte quadratique ainsi que son étude asymptotique. La construction de ce test est effectuée en deux étapes. Dans la première étape, un test bayésien avec la fonction de perte quadratique pour le problème du THM sans l’hypothèse de base est conçu et les bornes inférieures et supérieures des probabilités de classification erronée sont calculées. La deuxième étape construit un test bayésien pour le problème du THM avec l’hypothèse de base. Les bornes inférieures et supérieures des probabilités de fausse alarme, des probabilités de détection manquée, et des probabilités de classification erronée sont calculées. A partir de ces bornes, l’équivalence asymptotique entre le test proposé et le test standard avec la fonction de perte 0−1 est étudiée. Beaucoup d’expériences de simulation et une expérimentation acoustique ont illustré l’efficacité du nouveau test statistique / The anomaly detection and localization problem can be treated as a multiple hypotheses testing (MHT) problem in the Bayesian framework. The Bayesian test with the 0−1 loss function is a standard solution for this problem, but the alternative hypotheses have quite different importance in practice. The 0−1 loss function does not reflect this fact while the quadratic loss function is more appropriate. The objective of the thesis is the design of a Bayesian test with the quadratic loss function and its asymptotic study. The construction of the test is made in two steps. In the first step, a Bayesian test with the quadratic loss function for the MHT problem without the null hypothesis is designed and the lower and upper bounds of the misclassification probabilities are calculated. The second step constructs a Bayesian test for the MHT problem with the null hypothesis. The lower and upper bounds of the false alarm probabilities, the missed detection probabilities as well as the misclassification probabilities are calculated. From these bounds, the asymptotic equivalence between the proposed test and the standard one with the 0-1 loss function is studied. A lot of simulation and an acoustic experiment have illustrated the effectiveness of the new statistical test

Classical parametric methods of statistical inference and hypothesis testing are derived under fundamental theoretical assumptions, which may or may not be met in real world applications. However, these methods are usually used despite the violation of their underlying assumptions, while it is argued, that these methods are quite insensitive to the violation of relevant assumptions. Moreover, alternative nonparametric or rank tests are often overlooked, mostly because these methods may be deemed to be less powerful then parametric methods. The aim of the dissertation is therefore a description of the consequences of assumption violations concerning classical one-sample and two-sample statistical methods and a consistent and comprehensive comparison of parametric, nonparametric and robust statistical techniques, which is based on extensive simulation study and focused mostly on a normality and heteroscedasticity assumption violation. The results of the simulation study confirmed that the classical parametric methods are relatively robust, with some reservations in case of outlying observations, when traditional methods may fail. On the other hand, the empirical study clearly proved that the classical parametric methods are losing their optimal properties, when the underlying assumptions are violated. For example, in many cases of non-normality the appropriate nonparametric and rank-based methods are more powerful, and therefore a statement, that these methods are unproductive due to their lack of power may be considered a crucial mistake. However, the choice of the most appropriate distribution-free method generally depends on the particular form of the underlying distribution.

The Personal Responsibility and Work Opportunity Reconciliation Act of 1996 has lead to reduced welfare assistance to the needy. This thesis analyzes how families have become increasingly homeless and hungry during the welfare reform years.

This diploma thesis focuses on the statistical examination of properties of plant protection products at Agro-Artikel, s.r.o. Using the empirical distribution function, it focuses on the sales price and the shelf life of the products, tests the hypotheses about the properties of the products and the dependencies between them. The thesis also explores the results of the questionnaire survey and offers recommendations for the introduction of new products.

Some financial problems as minimizing the shortfall risk when hedging in incomplete markets lead to problems belonging to test theory. This paper considers a generalization of the Neyman-Pearson lemma. With methods of convex duality we deduce the structure of an optimal randomized test when testing a compound hypothesis against a simple alternative. We give necessary and sufficient optimality conditions for the problem.

Dagens textilindustri står inför ett problem där det produceras för mycket kläder i relation tillefterfrågan. Den höga konkurrensen i branschen förutsätter att företagen använder sig av kampanjer och realisationer för att få varorna sålda. Trots detta rapporterar flertalet företag att de inte lyckats sälja slut reavarorna vilket har lett till minskade marginaler. Den här studien kommer att undersöka hur skyltning i butik påverkar konsumenternas uppmärksamhet vidshopping på rea. De två aspekterna undersökningen kommer utgå från är färgens och budskapets inverkan på uppmärksamheten. Tidigare forskning påvisar att skyltning är ett effektivt sätt att locka kunder till butiker. Vid utformningen av skyltningen bör företagen ta hänsyn till kundsegmentet eftersom konsumenter tenderar att respondera olika beroende på vilket sätt ett budskap är utformat. Studien baseras på ett kontrollerat experiment med ett tekniskt verktyg, eyetracking. Experimentet utfördes i en klädbutik eftersom en naturlig shoppingupplevelse eftersträvades. En kompletterande enkät användes för att samla in den information eyetracking-glasögonen inte kunde generera. Resultatet av studien visar att konsumenter tittar på skyltningen vidshopping på rea. Gällande budskapet på skylten framgår det att procentavdrag är mest attraktivt då dessa skyltar givits mest uppmärksamhet. Studien visar även att en grå skyltfångar konsumenternas uppmärksamhet i större utsträckning än en röd. / Today’s textile industry faces a problem as it produces too much clothing in relation to the demand. The high level of competition in the industry require the companies to apply different campaigns and sales to successfully sell off the products. Despite this, several companies report that they have failed to sell off their discounted products which has resulted in reduced margins. This study will examine in-store signage and its impact on consumers’ attention when shopping reduced price products. The two aspects the study will proceed from are the effect of the colour and the message on consumers’ attention. Previous studies demonstrate that signage is an effective approach of attracting customers to stores. When it comes to the framing of signs, companies should consider customer segment since customers tend to respond differently depending on how a message is framed. The study is based on a controlled experiment with a technical tool, eye tracking. The experiment was conducted in a clothing store for the purpose of pursuing a real-world environment and experience. A complementary questionnaire was used to collect information that the eye tracking-glasses were unable to generate. The results of the study states that customers pay attention to signage when shopping discounted products. Regarding the choice of message framing, it appears that percentage promotions are most attractive due to the attention payed to these signs. The study also shows that the grey sign captured consumer attention to a greater extent than the red one. The study is a bachelor thesis written in Swedish.

Marketing has gone through several changes over the years. The way companies market themselves and their products are affected by changes and developments in the world. The technological development has led to changes in the way companies market their products. Through the development came social media where the users can tag companies and publish pictures of their products. Users can also follow companies on these social media platforms, and this leads to the question of what images the users want to see there. It also raises the question if the credibility among the customers is affected by the different images. When the users can tag companies in their posts it is an opportunity for the brand to be seen by more people. The question is what motivates the users to tag companies and if they have more of a tendency to do so if they know beforehand that the company will share their post on their own account.The aim of the study is to find out how the credibility affects the user on Instagram when companies publish images with products in a home environment captured by their customers. Furthermore, will the study investigate if users are more likely to tag companies in their posts if they know beforehand that the company will publish their image themselves.The findings indicate that there is no conjunction that say people are more likely to tag companies in their posts if they know beforehand that the company will also post the image. According to the findings the main reason for people tagging companies on Instagram is to participate in a competition. The results of the study show no indication that the image in home environment leads to greater credibility for the company than if they were to publish the product image. As shown by the results however is the credibility among the users affected by the images published by the company.The conclusion of the study is that businesses can benefit from thinking about what images they publish since the images can affect credibility. By publishing images from consumers other users can be more eager to tag the company in their post and as a result more people will hear about the company.The following study is written in Swedish. / Marknadsföring har genomgått flertalet förändringar genom åren. Utvecklingar och skiften i världen påverkar sättet som företag marknadsför sig själva och sina produkter. Med den teknologiska utvecklingen kom en helt ny form av marknadsföring där företag nu kunde använda sociala medier för att nå ut med sitt meddelande till kunderna. På de sociala medierna kan företag publicera bilder marknadsföra sina produkter själva eller använda sig utav influencers. Företag kan även interagera med sina kunder och kunderna i sin tur kan tagga företag i bilder som de lägger ut. Genom att konsumenter taggar företag i bilder kan företag se inläggen och låna bilden för att publicera den på deras egen sida. Det leder till funderingen om användarna som följer företagskontot vill se produktbilder eller dessa bilder i hemmamiljö från kunderna. När kunderna taggar företag blir det en möjlighet för fler personer att höra talas om varumärket. Det kan därmed vara attraktivt för företag att kunder vill tagga dem i deras inlägg. Frågan är dock vad som motiverar användaren till att tagga företag och om användaren skulle vara mer benägen att göra det om de vet på förhand att företag kommer dela deras bild vidare. Syftet med studien är att ta reda på hur trovärdigheten påverkar användaren på Instagram när företag publicerar bilder ur hemmamiljö tagna av sina kunder. Vidare undersöker studien om användare är mer benägna att tagga företag om de vet på förhand att bilden kommer delas vidare. Resultatet av studien visar att det inte finns något samband att fler människor kan tänka sig att tagga företag om de vet på förhand att företaget kommer dela bilden vidare. Enligt resultatet är den största anledningen till att människor taggar företag i inlägg för att delta i en tävling. Resultatet indikerar inte heller att bilden i hemmamiljö ger större trovärdighet för företaget när den publiceras istället för en produktbild. Däremot antyder resultatet att trovärdigheten påverkas av de bilder som företag lägger ut på Instagram. Slutsatsen som dras av studien är att företag kan dra nytta av att tänka igenom vilka bilder de publicerar då det påverkar trovärdigheten hos de som ser den. Genom att företag publicerar bilder i hemmamiljö från kunderna kan de uppmuntra kunder till att dela med sig av företagets namn och därmed nå fler människor. När användare på Instagram taggar företag sprids kännedom om varumärket vilket kan vara positivt för företag. Då användare kan tänka sig att tagga företag kan det därmed finnas en fördel för företag att möjliggöra till taggande.

Dans ce travail, nous nous intéressons à l'inférence statistique dans deux modèles semi-paramétrique et non-paramétrique stratifiés de durées de vie censurées. Nous proposons tout d'abord une statistique de test d'ajustement pour le modèle de régression stratifié à risques proportionnels. Nous établissons sa distribution asymptotique sous l'hypothèse nulle d'un ajustement correct du modèle aux données. Nous étudions les propriétés numériques de ce test (niveau, puissance sous différentes alternatives) au moyen de simulations. Nous proposons ensuite une procédure permettant de stratifier le modèle à 1isques proportionnels suivant un seuil inconnu d'une variable de stratification. Cette procédure repose sur l'utilisation du test d'ajustement proposé précédemment. Une étude de simulation exhaustive est conduite pour évaluer les pe1fonnances de cette procédure. Dans une seconde partie de notre travail, nous nous intéressons à l'application du test du logrank stratifié dans un contexte de données manquantes (nous considérons la situation où les strates ne peuvent être observées chez tous les individus de l'échantillon). Nous construisons une version pondérée du logrank stratifié adaptée à ce problème. Nous en établissons la loi limite sous l'hypothèse nulle d'égalité des fonctions de risque dans les différents groupes. Les propriétés de cette nouvelle statistique de test sont évaluée au moyen de simulations. Le test est ensuite appliqué à un jeu de données médicales. / In this work, we are interested in the statistical inference in two semi-parametric and non-parametric stratified models for censored data. We first propose a goodnessof- fit test statistic for the stratified proportional hazards regression model. We establish its asymptotic distribution under the null hypothesis of a correct fit of the model. We investigate the numerical properties of this test (level, power under different alternatives) by means of simulations. Then, we propose a procedure allowing to stratify the proportional hazards model according to an unknown threshold in a stratification variable. This procedure is based on the goodness-of-fit test proposed earlier. An exhaustive simulation study is conducted to evaluate the performance of this procedure. In a second part of our work, we consider the stratified logrank test in a context of missing data (we consider the situation where strata can not be observed on all sample individuals). We construct a weighted version of the stratified logrank, adapted to this problem. We establish its asymptotic distribution under the null hypothesis of equality of the hazards functions in the different groups. The prope1ties of this new test statistic are assessed using simulatious. Finally, the test is applied to a medical dataset.