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Relevant bibliographies by topics / Time-varying data analysis / Dissertations / Theses

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Dissertations / Theses on the topic 'Time-varying data analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Ambler, Gareth. "Time varying-coefficient models." Thesis, University of Sussex, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.321345.

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2

Mascarenhas, Ajith Arthur Snoeyink Jack. "Time-varying Reeb graphs a topological framework supporting the analysis of continuous time-varying data /." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2006. http://dc.lib.unc.edu/u?/etd,168.

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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2006.<br>Title from electronic title page (viewed Oct. 10, 2007). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Computer Science. Chapel Hill 2006." Discipline: Computer Science; Department/School: Computer Science.

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3

Chen, Chun-Ming. "Data Summarization for Large Time-varying Flow Visualization and Analysis." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1469141137.

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4

Johansson, Jimmy. "Efficient Information Visualization of Multivariate and Time-Varying Data." Doctoral thesis, Linköping : Department of Science and Technology, Linköping University, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-11643.

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5

Woodring, Jonathan Lee. "Visualization of Time-varying Scientific Data through Comparative Fusion and Temporal Behavior Analysis." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1243549189.

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6

Vargas, Aurea Rossy Soriano. "Visual exploration to support the identification of relevant attributes in time-varying multivariate data." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-23102018-115029/.

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Ionospheric scintillation is a rapid variation in the amplitude and/or phase of radio signals traveling through the ionosphere. This spatial and time-varying phenomenon is of interest because its occurrence may affect the reception quality of satellite signals. Specialized receivers at strategic regions can track multiple variables related to the phenomenon, generating a database of historical observations on the regional behavior of ionospheric scintillation. The analysis of such data is very challenging, since it consists of time-varying measurements of many variables which are heterogeneous

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7

Unsal, Ahmet Dundar. "Estimation Of Time-dependent Link Costs Using Gps Track Data." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/3/12608010/index.pdf.

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Intelligent Transport Systems (ITS) are becoming a part of our daily lives in various forms of application. Their success depends highly on the accuracy of the digital data they use. In networks where characteristics change by time, time-based network analysis algorithms provide results that are more accurate. However, these analyses require time-based travel speed data to provide accurate results. Conventionally, traffic data are usually obtained using the data provided from loop-detectors. These detectors usually exist on main arteries, freeways and highways<br>they rarely exist on back road

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8

Dutta, Soumya. "In Situ Summarization and Visual Exploration of Large-scale Simulation Data Sets." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1524070976058567.

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9

Frühwirth-Schnatter, Sylvia, Stefan Pittner, Andrea Weber, and Rudolf Winter-Ebmer. "Analysing plant closure effects using time-varying mixture-of-experts Markov chain clustering." Institute of Mathematical Statistics, 2018. http://dx.doi.org/10.1214/17-AOAS1132.

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In this paper we study data on discrete labor market transitions from Austria. In particular, we follow the careers of workers who experience a job displacement due to plant closure and observe - over a period of 40 quarters - whether these workers manage to return to a steady career path. To analyse these discrete-valued panel data, we apply a new method of Bayesian Markov chain clustering analysis based on inhomogeneous first order Markov transition processes with time-varying transition matrices. In addition, a mixtureof- experts approach allows us to model the probability of belong

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10

Parvinzamir, Farzad. "A visual analytics approach for visualisation and knowledge discovery from time-varying personal life data." Thesis, University of Bedfordshire, 2018. http://hdl.handle.net/10547/622697.

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Today, the importance of big data from lifestyles and work activities has been the focus of much research. At the same time, advances in modern sensor technologies have enabled self-logging of a signi cant number of daily activities and movements. Lifestyle logging produces a wide variety of personal data along the lifespan of individuals, including locations, movements, travel distance, step counts and the like, and can be useful in many areas such as healthcare, personal life management, memory recall, and socialisation. However, the amount of obtainable personal life logging data has enormo

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11

Festger, Adam Douglas. "Analysis of hydraulic capture zones and efficiency under time-varying flow and pumping conditions." Thesis, The University of Arizona, 2000. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu_e9791_2000_30_sip1_w.pdf&type=application/pdf.

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12

Wang, Chenkun. "Flexible models of time-varying exposures." Thesis, 2015. http://hdl.handle.net/1805/7938.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>With the availability of electronic medical records, medication dispensing data offers an unprecedented opportunity for researchers to explore complex relationships among longterm medication use, disease progression and potential side-effects in large patient populations. However, these data also pose challenges to existing statistical models because both medication exposure status and its intensity vary over time. This dissertation focused on flexible models to investigate the association between time-varying exposures and differen

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13

Kona, Rupesh Kumar. "Performance Analysis of Opportunistic Selection and Rate Adaptation in Time Varying Channels." Thesis, 2016. http://etd.iisc.ernet.in/handle/2005/2746.

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Opportunistic selection and rate adaptation play a vital role in improving the spectral and power efficiency of current multi-node wireless systems. However, time-variations in wireless channels affect the performance of opportunistic selection and rate-adaptation in the following ways. Firstly, the selected node can become sub-optimal by the time data transmission commences. Secondly, the choice of transmission parameters such as rate and power for the selected node become sub-optimal. Lastly, the channel changes during data transmission. In this thesis, we develop a comprehensive and tracta

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14

Xin, Xin. "A STUDY OF TIES AND TIME-VARYING COVARIATES IN COX PROPORTIONAL HAZARDS MODEL." Thesis, 2011. http://hdl.handle.net/10214/2974.

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In this thesis, ties and time-varying covariates in survival analysis are investigated. There are two types of ties: ties between event times (Type 1 ties) and ties between event times and the time that discrete time-varying covariates change or "jump"(Type 2 ties). The Cox proportional hazards model is one of the most important regression models for survival analysis. Methods for including Type 1 ties and time-varying covariates in the Cox proportional hazards model are well established in previous studies, but Type 2 ties have been ignored in the literature. This thesis discusses the effect

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15

Minto, Cóilín. "Ecological Inference from Variable Recruitment Data." 2011. http://hdl.handle.net/10222/13881.

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To understand the processes affecting the abundance of wild populations is a fundamental goal of ecology and a prerequisite for the management of living resources. Variable abundance, however, makes the investigation of ecological processes challenging. Recruitment, the process whereby new individuals enter a given stage of a ?sh population, is a highly variable entity. I have confronted this issue by developing methodologies speci?cally designed to account for, and ecologically interpret, patterns of variability in recruitment. To provide the necessary context, Chapter 2 begins with a review

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