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Dissertations / Theses on the topic 'Time Estimation Method'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Azizsoltani, Hamoon, and Hamoon Azizsoltani. "Risk Estimation of Nonlinear Time Domain Dynamic Analyses of Large Systems." Diss., The University of Arizona, 2017. http://hdl.handle.net/10150/624545.

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A novel concept of multiple deterministic analyses is proposed to design safer and more damage-tolerant structures, particularly when excited by dynamic including seismic loading in time domain. Since the presence of numerous sources of uncertainty cannot be avoided or overlooked, the underlying risk is estimated to compare design alternatives. To generate the implicit performance functions explicitly, the basic response surface method is significantly improved. Then, several surrogate models are proposed. The advanced factorial design and Kriging method are used as the major building blocks.

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2

Zhang, Yuqing. "Fixed-time algebraic distributed state estimation for linear systems." Electronic Thesis or Diss., Bourges, INSA Centre Val de Loire, 2025. http://www.theses.fr/2025ISAB0001.

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Au cours des dernières décennies, le déploiement massif de capteurs embarqués en réseau dotés des capacités de communication dans des systèmes à grande échelle a suscité un intérêt croissant de la part des chercheurs dans le domaine de l’estimation distribuée. Cette thèse vise à développer une méthode d’estimation d’état distribuée algébrique à temps fixe pour les systèmes linéaires à temps variant d’ordre entier et les systèmes linéaires à temps invariant d’ordre fractionnaire dans des environnements bruités, en concevant un ensemble d’estimateurs locaux d’ordre réduit au niveau des capteurs

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3

Kukreja, Sunil L. "Method for estimation of continuous-time models of linear time-invariant systems via the bilinear transform." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ29861.pdf.

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4

Kukreja, Sunil L. "Method for estimation of continuous-time models of linear time-invariant systems via the bilinear transform." Thesis, McGill University, 1996. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=27486.

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In this thesis, we develop a technique which is capable of identifying and rejecting the sampling zeros for continuous-time linear time-invariant systems. The method makes use of the MOESP family of identification algorithms (59), (60), (61), (62) to obtain a discrete-time model of the system. Since, the structure and parameters of discrete-time models are difficult to relate to the underlying continuous-time system of interest it is necessary to compute the continuous-time equivalent from the discrete-time model. The bilinear transform (19), (54) does this effectively but also converts extran

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Garazdiuk, M. S., V. T. Bachynskiy, O. Ya Vanchuliak, and I. Bezhenar. "Spectrophotometry in the ultraviolet range as a method of time since death estimation." Thesis, Матеріали 99 підсумкової науково-практичної конференції професорсько-викладацького персоналу ВДНЗ України «Буковинський державний медичний університет». – Чернівці, 2018. – С. 5, 2018. http://dspace.bsmu.edu.ua:8080/xmlui/handle/123456789/13659.

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Time since death estimation is an impotant and not completely resolved issues of forensic practice. The analysis of cerebrospinal fluid as a stable and separated from the action of environmental medium factors can be used for solving of this problem.

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6

Hadley, Jennifer Lyn. "Near real-time runoff estimation using spatially distributed radar rainfall data." Thesis, Texas A&M University, 2003. http://hdl.handle.net/1969.1/346.

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The purpose of this study was to evaluate variations of the Natural Resources Conservation Service (NRCS) curve number (CN) method for estimating near real-time runoff for naturalized flow, using high resolution radar rainfall data for watersheds in various agro-climatic regions of Texas. The CN method is an empirical method for calculating surface runoff which has been tested on various systems over a period of several years. Many of the findings of previous studies indicate the need to develop variations of this method to account for regional and seasonal changes in weather patterns and la

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7

Shen, Luou. "Freeway Travel Time Estimation and Prediction Using Dynamic Neural Networks." FIU Digital Commons, 2008. http://digitalcommons.fiu.edu/etd/17.

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Providing transportation system operators and travelers with accurate travel time information allows them to make more informed decisions, yielding benefits for individual travelers and for the entire transportation system. Most existing advanced traveler information systems (ATIS) and advanced traffic management systems (ATMS) use instantaneous travel time values estimated based on the current measurements, assuming that traffic conditions remain constant in the near future. For more effective applications, it has been proposed that ATIS and ATMS should use travel times predicted for short-te

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Lee, Joon-Hee. "Rank-Date Distribution Method (R-D Method) For Daily Time-Series Bayesian Networks And Total Maximum Daily Load Estimation." DigitalCommons@USU, 2008. https://digitalcommons.usu.edu/etd/132.

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Daily time series-based models are required to estimate the higher frequency fluctuations of nutrient loads and concentrations. Some mechanistic mathematical models can provide daily time series outputs of nutrient concentrations but it is difficult to incorporate non-numerical data, such as management scenarios, to mechanistic mathematical models. Bayesian networks (BNs) were designed to accept and process inputs of varied types of both numerical and non-numerical inputs. A Rank-Data distribution method (R-D method) was developed to provide large time series of daily predicted flows and Total

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Nyman, Lina. "Estimation of Aerodynamic Parameters in Real-Time : Implementation and Comparison of a Sequential Frequency Domain Method and a Batch Method." Thesis, Linköpings universitet, Fluida och mekatroniska system, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-132807.

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The flight testing and evaluation of collected data must be efficient during intensive flight-test programs such as the ones conducted during development of new aircraft. The aim of this thesis has thus been to produce a first version of an aerodynamic derivative estimation program that is to be used during real-time flight tests. The program is to give a first estimate of the aerodynamic derivatives as well as check the quality of the data collected and thus serve as a decision support during tests. The work that has been performed includes processing of data in order to use it in computation

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Knezevic, Aleksa. "Real-time power system impedance estimation for DG applications: Using PV-inverter based harmonic injection method." Master's thesis, University of Cape Town, 2017. http://hdl.handle.net/11427/25325.

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On-line power system (PS) Thévenin equivalent impedance (TEI) estimation involves the reduction of the PS's complex circuit into a simple form that provides valuable insight into its state and behaviour. It finds application in numerous areas such as voltage stability monitoring and islanding detection. In the context of distributed generation (DG), on-line TEI estimation can be easily implemented in existing hardware to add functionality and improve the operation of power converters – the key components of DG systems. Two distinct methods of on-line PS TEI estimation exist. The passive method

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Johansson, August. "Duality-based adaptive finite element methods with application to time-dependent problems." Doctoral thesis, Umeå : Institutionen för matematik och matematisk statistik, Umeå universitet, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-33872.

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Yuen, Hak-Keung. "Estimation of multivariate extreme value distributions by a kernel method with an application to non-Gaussian time series." Thesis, University of Surrey, 1988. http://epubs.surrey.ac.uk/843272/.

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In Chapter 1, we give a brief introduction to univariate extreme value theory. We also discuss the kernel method of density estimation and non-parametric regression analysis. Some methods of window-width choosing are also given. In Chapter 2, we develop a differentiable kernel estimator for the dependence function of a bivariate extreme value distribution. The estimator is applied to different sets of bivariate extreme value data. In Chapter 3, some existing methods for testing bivariate extreme pairs are discussed. Two new methods of testing independence against the alternative of a general b

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Sohrabi, Maryam. "On Robust Asymptotic Theory of Unstable AR(p) Processes with Infinite Variance." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/34280.

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In this thesis, we explore some asymptotic results in heavy-tailed theory. There are many empirical and compelling evidence in statistics that require modeling with heavy tailed observations. This thesis is divided into three parts. First, we consider a robust estimation of the mean vector for a sequence of independent and identically distributed observations in the domain of attraction of a stable law with possibly different indices of stability between 1 and 2. The suggested estimator is asymptotically normal with unknown parameters. We apply an asymptotically valid bootstrap to const

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Safa, Amir, and Linus Dehmer. "Förbättrad tidsuppskattning för IT-projekt." Thesis, Uppsala University, Computer Systems Sciences, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-126175.

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<p>Det finns olika strategier och många olika metoder inom strategierna för att tidsuppskatta ett IT-projekt. Dessa strategier och metoder skiljer sig mer eller mindre åt och många gånger har företag egna metoder för tidsuppskattning. Dessa strategier och metoder har samma syfte, vilket är att göra så noggranna tidsuppskattningar som möjligt för att undvika försenade projekt. Examensarbetets syfte är att visa på hur LexiConsult AB kan förbättra sina tidsuppskattningar av inkommande IT-projekt genom att följa studiens rekommendationer, vilket leder till bättre tidsuppskattningar och nöjdare kun

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Chang, Byeong-Yun. "Estimation Techniques for Nonlinear Functions of the Steady-State Mean in Computer Simulation." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/4917.

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A simulation study consists of several steps such as data collection, coding and model verification, model validation, experimental design, output data analysis, and implementation. Our research concentrates on output data analysis. In this field, many researchers have studied how to construct confidence intervals for the mean u of a stationary stochastic process. However, the estimation of the value of a nonlinear function f(u) has not received a lot of attention in the simulation literature. Towards this goal, a batch-means-based methodology was proposed by Munoz and Glynn (1997). Their appr

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De, Cesaris Simona <1985&gt. "A new method for the estimation of the reverberation time from measured room impulse responses with application to Italian opera houses." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amsdottorato.unibo.it/6410/1/DeCesaris_Simona_tesi.pdf.

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The Schroeder's backward integration method is the most used method to extract the decay curve of an acoustic impulse response and to calculate the reverberation time from this curve. In the literature the limits and the possible improvements of this method are widely discussed. In this work a new method is proposed for the evaluation of the energy decay curve. The new method has been implemented in a Matlab toolbox. Its performance has been tested versus the most accredited literature method. The values of EDT and reverberation time extracted from the energy decay curves calculated with b

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De, Cesaris Simona <1985&gt. "A new method for the estimation of the reverberation time from measured room impulse responses with application to Italian opera houses." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amsdottorato.unibo.it/6410/.

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The Schroeder's backward integration method is the most used method to extract the decay curve of an acoustic impulse response and to calculate the reverberation time from this curve. In the literature the limits and the possible improvements of this method are widely discussed. In this work a new method is proposed for the evaluation of the energy decay curve. The new method has been implemented in a Matlab toolbox. Its performance has been tested versus the most accredited literature method. The values of EDT and reverberation time extracted from the energy decay curves calculated with b

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Larsson, Karl. "Finite element methods for threads and plates with real-time applications." Licentiate thesis, Umeå universitet, Institutionen för matematik och matematisk statistik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-38198.

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Thin and slender structures are widely occurring both in nature and in human creations. Clever geometries of thin structures can produce strong constructions while using a minimal amount of material. Computer modeling and analysis of thin and slender structures has its own set of problems stemming from assumptions made when deriving the equations modeling their behavior from the theory of continuum mechanics. In this thesis we consider two kinds of thin elastic structures; threads and plates. Real-time simulation of threads are of interest in various types of virtual simulations such as surger

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Robacker, Thomas C. "Comparison of Two Parameter Estimation Techniques for Stochastic Models." Digital Commons @ East Tennessee State University, 2015. https://dc.etsu.edu/etd/2567.

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Parameter estimation techniques have been successfully and extensively applied to deterministic models based on ordinary differential equations but are in early development for stochastic models. In this thesis, we first investigate using parameter estimation techniques for a deterministic model to approximate parameters in a corresponding stochastic model. The basis behind this approach lies in the Kurtz limit theorem which implies that for large populations, the realizations of the stochastic model converge to the deterministic model. We show for two example models that this approach often f

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Alanazi, Mohammed Awwad. "Non-invasive Method to Measure Energy Flow Rate in a Pipe." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/103179.

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Current methods for measuring energy flow rate in a pipe use a variety of invasive sensors, including temperature sensors, turbine flow meters, and vortex shedding devices. These systems are costly to buy and install. A new approach that uses non-invasive sensors that are easy to install and less expensive has been developed. A thermal interrogation method using heat flux and temperature measurements is used. A transient thermal model, lumped capacitance method LCM, before and during activation of an external heater provides estimates of the fluid heat transfer coefficient h and fluid temperat

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Munasib, Abdul B. A. "Lifecycle of social networks: A dynamic analysis of social capital accumulation." The Ohio State University, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=osu1121441394.

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Schaal, Peter. "Observer-based engine air charge characterisation : rapid, observer-assisted engine air charge characterisation using a dynamic dual-ramp testing method." Thesis, Loughborough University, 2018. https://dspace.lboro.ac.uk/2134/33247.

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Characterisation of modern complex powertrains is a time consuming and expensive process. Little effort has been made to improve the efficiency of testing methodologies used to obtain data for this purpose. Steady-state engine testing is still regarded as the golden standard, where approximately 90% of testing time is wasted waiting for the engine to stabilize. Rapid dynamic engine testing, as a replacement for the conventional steady-state method, has the potential to significantly reduce the time required for characterisation. However, even by using state of the art measurement equipment, dy

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Mousset, Stéphane. "Estimation de la vitesse axiale à partir d'une séquence réelle d'images stéréoscopiques." Rouen, 1997. http://www.theses.fr/1997ROUES048.

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Dans le cadre de la réalisation d'un capteur 3D pour l'assistance à la conduite automobile, nous avons élaboré un algorithme original permettant de construire des cartes de vitesse axiale pour une scène réelle. Le principe de notre méthode repose sur un traitement réalisé à partir d'une séquence de cartes de disparité établies à l'aide de couples d'images stéréoscopiques. Le traitement se décompose en deux phases. Dans la première phase, nous effectuons un traitement au niveau du point image fondé sur l'utilisation d'un ensemble détecteur-estimateur. Pour caractériser la vitesse axiale observé

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Dufreneix, Florence. "Variations et estimation de la valeur protéique des sources azotées dans l’alimentation des vaches laitières." Thesis, Rennes, Agrocampus Ouest, 2019. http://www.theses.fr/2019NSARB322.

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Economiser les protéines végétales dans l’alimentation des vaches laitières est un enjeu majeur du secteur laitier. Cet objectif peut être atteint d’une part en limitant la dégradation des protéines dans le rumen pour augmenter la proportion de protéines alimentaire non dégradées et disponible dans l’intestin et d’autre part en formulant les rations au plus proche des besoins protéiques des animaux ce qui nécessite une méthode d’estimation précise de la valeur protéique des aliments. La première partie de ce travail de thèse s’attache à étudier l’influence de la taille et de la densité spécifi

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Chen, Kai. "Mitigating Congestion by Integrating Time Forecasting and Realtime Information Aggregation in Cellular Networks." FIU Digital Commons, 2011. http://digitalcommons.fiu.edu/etd/412.

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An iterative travel time forecasting scheme, named the Advanced Multilane Prediction based Real-time Fastest Path (AMPRFP) algorithm, is presented in this dissertation. This scheme is derived from the conventional kernel estimator based prediction model by the association of real-time nonlinear impacts that caused by neighboring arcs’ traffic patterns with the historical traffic behaviors. The AMPRFP algorithm is evaluated by prediction of the travel time of congested arcs in the urban area of Jacksonville City. Experiment results illustrate that the proposed scheme is able to significantly re

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Yang, Junqing. "Assimilation de données variationnelles pour les problèmes de transport des sédiments en rivière." Université Joseph Fourier (Grenoble), 1999. http://tel.archives-ouvertes.fr/tel-00004863.

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La prévision de la sédimentation d'une rivière requiert l'utilisation d'un modèle mathématique régissant l'écoulement et de données d'observation. Le but de ce travail est de proposer une méthode d'assimilation de données qui permet de reconstituer les champs en tenant en compte du modèle et des données d'observation. La méthode qui est proposée est fondée sur les techniques de contrôle optimal. On présente les problèmes de sédimentation et leurs approximations numériques, un algorithme de décomposition est introduit et sa convergence est étudiée. En préalable à l'exploitation à des problèmes

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Burney, S. M. A. "Estimation methods for multiple time series." Thesis, University of Strathclyde, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.382231.

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Dahl, Jason F. "Time Aliasing Methods of Spectrum Estimation." Diss., CLICK HERE for online access, 2003. http://contentdm.lib.byu.edu/ETD/image/etd157.pdf.

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Srinivas, L. "FIR System Identification Using Higher Order Cumulants -A Generalized Approach." Thesis, Indian Institute of Science, 1994. https://etd.iisc.ac.in/handle/2005/637.

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The thesis presents algorithms based on a linear algebraic solution for the identification of the parameters of the FIR system using only higher order statistics when only the output of the system corrupted by additive Gaussian noise is observed. All the traditional parametric methods of estimating the parameters of the system have been based on the 2nd order statistics of the output of the system. These methods suffer from the deficiency that they do not preserve the phase response of the system and hence cannot identify non-minimum phase systems. To circumvent this problem, hig

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Srinivas, L. "FIR System Identification Using Higher Order Cumulants -A Generalized Approach." Thesis, Indian Institute of Science, 1994. http://hdl.handle.net/2005/637.

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The thesis presents algorithms based on a linear algebraic solution for the identification of the parameters of the FIR system using only higher order statistics when only the output of the system corrupted by additive Gaussian noise is observed. All the traditional parametric methods of estimating the parameters of the system have been based on the 2nd order statistics of the output of the system. These methods suffer from the deficiency that they do not preserve the phase response of the system and hence cannot identify non-minimum phase systems. To circumvent this problem, highe

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Sifi, Nedjem-Eddine. "Caractérisation de dispositifs microondes dans le domaine temporel par identification à des modèles électriques équivalents." Grenoble INPG, 1995. http://www.theses.fr/1995INPG0092.

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Dans le domaine des telecommunications, nous constatons que non seulement la recherche et le developpement mais aussi la fabrication et le controle des systemes sont grandement conditionnes par les moyens de mesure et d'experimentation disponibles. Ce constat est encore plus net dans le domaine des microondes. En effet, bien que l'evolution rapide de la conception assistee par:ordinateur (cao) limite maintenant les etapes intermediaires, il n'est pas realiste d'envisager des systemes ou composants concus et realises sans experimentation preliminaire, intermediaire ou finale. Tenir compte des p

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Falz, Roberto. "Bestimmung der Gesamt-Hämoglobinmenge und des Blutvolumens mit einer direkten Kohlenstoffmonoxid-Bolus-Methode - Methodische Umsetzung und Evaluierung -." Doctoral thesis, Universitätsbibliothek Leipzig, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-121492.

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Kohlenmonoxid (CO) wird nach Einatmung weitgehend an Hämoglobin gebunden, eine minimale Bindung findet auch an Myoglobin statt. Die Kohlenmonoxid-Hämoglobinkonzentration (COHb) im Blut steigt nach Inhalation proportional zur inhalierten CO-Menge und zur Hämoglobinmasse an. Dieser Anstieg wird über die CO-Hämoxymetrie ermittelt und resultierend aus der CO-Verdünnung die Hämoglobinmenge berechnet. Über die Hämoglobinkonzentration und den Hämatokrit kann im Anschluss das Blutvolumen berechnet werden. Grundsätzlich ist dieses Verfahren seit über 100 Jahren bekannt und wird seit ca. 1995 als Routi

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Mai, Cuong. "Frequency Estimation Using Time-Frequency Based Methods." ScholarWorks@UNO, 2007. http://scholarworks.uno.edu/td/571.

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Any periodic signal can be decomposed into a sum of oscillating functions. Traditionally, cosine and sine segments have been used to represent a single period of the periodic signal (Fourier Series). In more general cases, each of these functions can be represented by a set of spectral parameters such as its amplitude, frequency, phase, and the variability of its instantaneous spectral components. The accuracy of these parameters depends on several processing variables such as resolution, noise level, and bias of the algorithm used. This thesis presents some background of existing freque

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Jarny, Yvon. "Identification de modeles non-lineaires de systemes thermiques." Nantes, 1987. http://www.theses.fr/1987NANT2048.

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Utilisation d'une methode de modelisation due a g. Chavent, consistant a minimiser un critere de moindres carres de sortie. Etude de 3 modeles comportant des parametres variables en fonction de l'etat du systeme ou du temps. Le probleme d'identification est formule comme un probleme d'optimatisation et resolu numeriquement par un algorithme de descente

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Xue, Qi. "Etude mathématique et numérique du problème inverse de l'électro-sismique en milieu poreux." Thesis, Université Grenoble Alpes (ComUE), 2017. http://www.theses.fr/2017GREAM084/document.

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Dans cette thèse, nous étudions le problème inverse du phénomène de couplage des ondes électromagnétiques (EM) et sismiques. Les équations différentielles partielles régissant le phénomène de couplage sont composées d'équations de Maxwell et de Biot. Comme le phénomène de couplage est plutôt faible, nous ne considérons que la transformation des ondes électromagnétiques en ondes sismiques. Nous utilisons le modèle électrosismique pour se référer à cette transformation. Dans le modèle, le champ électrique devient la source des équations de Biot. Un coefficient de couplage est utilisé pour désign

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Gillberg, Jonas. "Methods for frequency domain estimation of continuous-time models /." Linköping : univ, 2004. http://www.control.isy.liu.se.

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VARINI, ELISA. "Sequential estimation methods in continuous time state place models." Doctoral thesis, Università Bocconi, 2006. http://hdl.handle.net/11565/4050376.

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Rostaing, Gilles. "Diagnostic de défaut dans les entrainements électriques." Grenoble INPG, 1997. http://www.theses.fr/1997INPG0029.

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Cette thèse représente une contribution aux études sur la disponiblité des dispositifs électrotechnique. L'étude présentée vise à définir la méthode de redondance analytique, basée sur l'estimation d'état, la mieux adaptée au diagnostic des entraînements électriques en considérant les défauts de l'ensemble du convertisseur, de la commande et des capteurs. La méthode retenue doit permettre d'obtenir un modèle de diagnostic implantable en temps réel et sans ajout de capteurs supplémentaires. L'application retenue est un entraînement à courant continu commandé en couple. Le chapitre II compare de

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Fung, David S. "Methods for the estimation of missing values in time series." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2006. https://ro.ecu.edu.au/theses/63.

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Time Series is a sequential set of data measured over time. Examples of time series arise in a variety of areas, ranging from engineering to economics. The analysis of time series data constitutes an important area of statistics. Since, the data are records taken through time, missing observations in time series data are very common. This occurs because an observation may not be made at a particular time owing to faulty equipment, lost records, or a mistake, which cannot be rectified until later. When one or more observations are missing it may be necessary to estimate the model and also to ob

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Mekaiel, Mohammed M. "Bootstrap methods and parameter estimation in time series threshold modelling." Thesis, University of Salford, 1995. http://usir.salford.ac.uk/42975/.

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The aim of this thesis is to investigate of bootstrap methods (Efron, 1979), in the the performance estimation of parameter estimates in non-linear time series models, in particular SETAR models (Tong, 1993). First and higher order SETAR models in known and unknown thresholds cases are considered. To assess the performance of bootstrap methods, we first give an extensive simulation study (by using simulated normal errors), in chapters 3 and 4, to investigate large and small sample behaviours of the true sampling distributions of parameter estimates of SETAR models and how they are affected by

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LaMaire, Richard O. "Robust time and frequency domain estimation methods in adaptive control." Thesis, Massachusetts Institute of Technology, 1987. http://hdl.handle.net/1721.1/14795.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1987.<br>MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING.<br>Supported, in part, by the NASA Ames & Langley Research Centers, the Office of Naval Research, and the National Science Foundation.<br>Bibliography: v. 2, leaves 334-337.<br>by Richard Orville LaMaire.<br>Ph.D.

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Nelson, Alex Tremain. "Nonlinear estimation and modeling of noisy time-series by dual Kalman filtering methods." Oregon Health & Science University, 2000. http://content.ohsu.edu/u?/etd,211.

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Ph.D.<br>Electrical and Computer Engineering<br>Numerous applications require either the estimation or prediction of a noisy time-series. Examples include speech enhancement, economic forecasting, and geophysical modeling. A noisy time-series can be described in terms of a probabilistic model, which accounts for both the deterministic and stochastic components of the dynamics. Such a model can be used with a Kalman filter (or extended Kalman filter) to estimate and predict the time-series from noisy measurements. When the model is unknown, it must be estimated as well; dual estimation refers t

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Meterelliyoz, Kuyzu Melike. "Variance parameter estimation methods with re-use of data." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26490.

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Thesis (Ph.D)--Industrial and Systems Engineering, Georgia Institute of Technology, 2009.<br>Committee Co-Chair: Alexopoulos, Christos; Committee Co-Chair: Goldsman, David; Committee Member: Kim, Seong-Hee; Committee Member: Shapiro, Alexander; Committee Member: Spruill, Carl. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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Zhou, Min. "The estimation and inference of complex models." HKBU Institutional Repository, 2017. https://repository.hkbu.edu.hk/etd_oa/387.

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In this thesis, we investigate the estimation problem and inference problem for the complex models. Two major categories of complex models are emphasized by us, one is generalized linear models, the other is time series models. For the generalized linear models, we consider one fundamental problem about sure screening for interaction terms in ultra-high dimensional feature space; for time series models, an important model assumption about Markov property is considered by us. The first part of this thesis illustrates the significant interaction pursuit problem for ultra-high dimensional models

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Gonzalez, E. A. "A method for estimating the flocculation time of monodispersed sediment suspensions." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/mq24848.pdf.

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Bruce, Scott Alan. "STATISTICAL METHODS FOR SPECTRAL ANALYSIS OF NONSTATIONARY TIME SERIES." Diss., Temple University Libraries, 2018. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/487252.

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Statistics<br>Ph.D.<br>This thesis proposes novel methods to address specific challenges in analyzing the frequency- and time-domain properties of nonstationary time series data motivated by the study of electrophysiological signals. A new method is proposed for the simultaneous and automatic analysis of the association between the time-varying power spectrum and covariates. The procedure adaptively partitions the grid of time and covariate values into an unknown number of approximately stationary blocks and nonparametrically estimates local spectra within blocks through penalized splines. The

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Nakamura, Tomomichi. "Modelling nonlinear time series using selection methods and information criteria." University of Western Australia. School of Mathematics and Statistics, 2004. http://theses.library.uwa.edu.au/adt-WU2004.0085.

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[Truncated abstract] Time series of natural phenomena usually show irregular fluctuations. Often we want to know the underlying system and to predict future phenomena. An effective way of tackling this task is by time series modelling. Originally, linear time series models were used. As it became apparent that nonlinear systems abound in nature, modelling techniques that take into account nonlinearity in time series were developed. A particularly convenient and general class of nonlinear models is the pseudolinear models, which are linear combinations of nonlinear functions. These models can

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Johns, Alicia. "Methods for Estimating the Optimal Time Lag in Longitudinal Mediation Analysis." VCU Scholars Compass, 2019. https://scholarscompass.vcu.edu/etd/6042.

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Interest in mediation analysis has increased over time, with particular excitement in the social and behavioral sciences. A mediator is defined as an intermediate in the causal sequence between an independent and dependent variable. Previous research has demonstrated that the cross-sectional form of mediation analysis is inherently flawed, evidenced by the inability of the cross-sectional mediation model to account for temporal precedence and estimation of the indirect effect being biased in nearly all situations. For these reasons, a longitudinal model is recommended. However, a method for de

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Esquincalha, Agnaldo da Conceição. "Estimação de parâmetros de sinais gerados por sistemas lineares invariantes no tempo." Universidade do Estado do Rio de Janeiro, 2009. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=1238.

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Fundação Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro<br>Nesta dissertação é apresentado um estudo sobre a recuperação de sinais modelados por somas ponderadas de exponenciais complexas. Para tal, são introduzidos conceitos elementares em teoria de sinais e sistemas, em particular, os sistemas lineares invariantes no tempo, SLITs, que podem ser representados matematicamente por equações diferenciais, ou equações de diferenças, para sinais analógicos ou digitais, respectivamente. Equações deste tipo apresentam como solução somas ponderadas de exponenciais complexas, e as

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Nowakowski, Samuel. "Détection de défauts dans les séries temporelles." Nancy 1, 1989. http://www.theses.fr/1989NAN10074.

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Utilisation des calculs de distances pour résoudre des problèmes rencontrés pour les tests de détection de changements tels que le test du rapport de vraisemblance généralisé. Expérimentation de la méthode de la variable instrumentale

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