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Dissertations / Theses on the topic 'Variability Models'

Author: Grafiati

Published: 14 December 2024

Last updated: 25 July 2025

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1

Ternité, Thomas [Verfasser]. "Variability of Development Models / Thomas Ternité." München : Verlag Dr. Hut, 2010. http://d-nb.info/1009972332/34.

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2

Scutari, Marco. "Measures of Variability for Graphical Models." Doctoral thesis, Università degli studi di Padova, 2011. http://hdl.handle.net/11577/3422736.

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In recent years, graphical models have been successfully applied in several different disciplines, including medicine, biology and epidemiology. This has been made possible by the rapid evolution of structure learning algorithms, from constraint-based ones to score-based and hybrid ones. The main goal in the development of these algorithms has been the reduction of the number of either independence tests or score comparisons needed to learn the structure of the Bayesian network. In most cases the characteristics of the learned networks have been studied using a small number of reference

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3

Arzounian, Dorothée. "Sensory variability and brain state : models, psychophysics, electrophysiology." Thesis, Sorbonne Paris Cité, 2017. http://www.theses.fr/2017USPCB055/document.

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La même entrée sensorielle ne provoque pas toujours la même réaction. Dans les expériences en laboratoire, un stimulus donné peut engendrer une réponse différente à chaque nouvel essai, en particulier à proximité du seuil sensoriel. Ce phénomène est généralement attribué à une source de bruit non spécifique qui affecte la représentation sensorielle du stimulus ou le processus décisionnel. Dans cette thèse, nous examinons l'hypothèse selon laquelle cette variabilité des réponses peut être attribuée en partie à des fluctuations mesurables et spontanées de l'état cérébral. Dans ce but, nous dével

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4

Byrne, Nicholas. "Deterministic models of Southern Hemisphere circulation variability." Thesis, University of Reading, 2017. http://centaur.reading.ac.uk/74253/.

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Statistical models of atmospheric variability typically attempt to account for deterministic seasonal variations by constructing a long-term average for each day or month of the year. Year-to-year variability can then be treated as some form of stochastic process about this long-term average. In general, the stochastic processes are assumed to be statistically stationary (invariant under time translation). However, for a non-linear system such as the Earth’s atmosphere, multiple seasonal evolutions may be possible for the same external forcing. In the presence of such a multiplicity of solutio

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5

Strounine, Kirill. "Reduced models of extratropical low-frequency variability." Diss., Restricted to subscribing institutions, 2007. http://proquest.umi.com/pqdweb?did=1320974401&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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6

Schenzinger, Verena. "Tropical stratosphere variability and extratropical teleconnections." Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:7f03dad9-8ef6-4586-8caa-314d9c3a15da.

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The Quasi-Biennial Oscillation (QBO) is the dominant pattern of variability in the tropical stratosphere. Despite a well established theory regarding its generation in the atmosphere, the simulation in global climate models remains difficult. A set of metrics assessing the quality of model simulations is presented in this study. The QBO simulations in models submitted to the CMIP5 and CCMVal-2 intercomparison projects are characterised and compared to radiosonde observations and reanalysis datasets. Common model biases and their potential causes are addressed. As the QBO has a long intrinsic p

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7

Wengel, Christian [Verfasser]. "Equatorial Pacific Variability in Climate Models / Christian Wengel." Kiel : Universitätsbibliothek Kiel, 2018. http://d-nb.info/1160235406/34.

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8

Burrow, Jennifer. "Mechanistic models of recruitment variability in fish populations." Thesis, University of York, 2011. http://etheses.whiterose.ac.uk/1611/.

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There are serious concerns worldwide about the decline of exploited fish stocks. The number of fish larvae surviving to be recruited into the adult population each year is fundamental to the long-term stability of a fish stock. Monitoring and predicting recruitment is a crucial component of managing economically important fisheries worldwide. Fish recruitment can vary by an order of magnitude, or more, between years, and the larval stage is a key determining factor. Fish larvae are born into an extremely variable environment, with high mortality rates, and so it is not surprising that the numb

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9

MANFREDI, PAOLO. "High-Speed Interconnect Models with Stochastic Parameter Variability." Doctoral thesis, Politecnico di Torino, 2013. http://hdl.handle.net/11583/2513763.

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In the process of design and fabrication of electronic products, numerical simulation plays a fundamental role for a preliminary electromagnetic compatibility (EMC) assessment of devices in the early design phase. Direct EMC measurements impact both cost and time-to-market as they require purchase and/or hiring of facilities and instruments, as well as fabrication of prototype devices, and need therefore to be minimized. Nowadays, designers can rely on several sophisticated modeling tools, helping them to perform right-the-first-time designs. Nonetheless, these simulation models are accurate a

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10

Denis, Yvan. "Implémentation de PCM (Process Compact Models) pour l’étude et l’amélioration de la variabilité des technologies CMOS FDSOI avancées." Thesis, Université Grenoble Alpes (ComUE), 2016. http://www.theses.fr/2016GREAT045/document.

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Récemment, la course à la miniaturisation a vue sa progression ralentir à cause des défis technologiques qu’elle implique. Parmi ces obstacles, on trouve l’impact croissant de la variabilité local et process émanant de la complexité croissante du processus de fabrication et de la miniaturisation, en plus de la difficulté à réduire la longueur du canal. Afin de relever ces défis, de nouvelles architectures, très différentes de celle traditionnelle (bulk), ont été proposées. Cependant ces nouvelles architectures demandent plus d’efforts pour être industrialisées. L’augmentation de la complexité

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11

Saxon, David. "Investigating variability in multilevel models : going beyond therapist effects." Thesis, University of Sheffield, 2017. http://etheses.whiterose.ac.uk/19804/.

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Although psychological therapies can benefit many people, over half of the patients who receive therapy do not recover. Also, across services and therapists there is a great deal of variability in patient outcomes. Studies from the USA, using multilevel modelling (MLM), have indicated that the variability between therapists has a significant effect on patient outcomes, with some therapists over twice as effective as others. However, some of these findings were derived from data samples that did not meet the recommended size for reliably estimating therapist effects using MLM. This methodology-

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12

Wallhead, Philip John. "Accounting for unpredictable spatial variability in plankton ecosystem models." Thesis, University of Southampton, 2008. https://eprints.soton.ac.uk/63762/.

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Limitations on our ability to predict fine-scale spatial variability in plankton ecosystems can seriously compromise our ability to predict coarse-scale behaviour. Spatial variability which is deterministically unpredictable may distort parameter estimates when the ecosystem model is fitted to (or assimilates) ocean data, may compromise model validation, and may produce mean-field ecosystem behaviour discrepant with that predicted by the model. New statistical methods are investigated to mitigate these effects and thus improve understanding and prediction of coarse-scale behaviour e.g. in resp

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13

Kowalski, P. C. "Models of interannual mid-latitude sea surface temperature variability." Thesis, University College London (University of London), 2013. http://discovery.ucl.ac.uk/1394920/.

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Well established and novel simple mixed layer models are used to investigate some of the factors influencing mid-latitude sea surface temperature variability. This thesis focuses in particular on the re-emergence mechanism and the factors that influence it. The re-emergence mechanism describes the process whereby winter sea surface temperature anomalies can become sequestered below the mixed layer as it reforms in the spring/summer and are entrained into the mixed layer in the following winter, subsequently impacting the sea surface temperature. In chapter 2 the idealized mixed layer column mo

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14

Assy, Nour. "Automated support of the variability in configurable process models." Thesis, Université Paris-Saclay (ComUE), 2015. http://www.theses.fr/2015SACLL001/document.

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L'évolution rapide dans les environnements métier d'aujourd'hui impose de nouveaux défis pour la gestion efficace et rentable des processus métiers. Dans un tel environnement très dynamique, la conception des processus métiers devient une tâche fastidieuse, source d'erreurs et coûteuse. Par conséquent, l'adoption d'une approche permettant la réutilisation et l'adaptabilité devient un besoin urgent pour une conception de processus prospère. Les modèles de processus configurables récemment introduits représentent l'une des solutions recherchées permettant une conception de processus par la réuti

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15

Assy, Nour. "Automated support of the variability in configurable process models." Electronic Thesis or Diss., Université Paris-Saclay (ComUE), 2015. http://www.theses.fr/2015SACLL001.

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L'évolution rapide dans les environnements métier d'aujourd'hui impose de nouveaux défis pour la gestion efficace et rentable des processus métiers. Dans un tel environnement très dynamique, la conception des processus métiers devient une tâche fastidieuse, source d'erreurs et coûteuse. Par conséquent, l'adoption d'une approche permettant la réutilisation et l'adaptabilité devient un besoin urgent pour une conception de processus prospère. Les modèles de processus configurables récemment introduits représentent l'une des solutions recherchées permettant une conception de processus par la réuti

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16

Záhorovská, Zuzana. "Využití simulačních modelů a programů k analýze či zlepšení chodu podniku (reálná situace)." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-15743.

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Aim of this thesis is to analyze the current situation, to identify bottlenecks and to propose improvements to the department of acquisitions in the selected financial company, which is an important part of the Czech market and which desire not to be named. In the first part of my thesis is provided to the reader a theoretical basis necessary to understand the following text. Then I create simulation models for individual teams, which take part in the mentioned department. These models are based only on average and total values. That is why in the next section, there is described the work to b

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17

Kay, Gillian. "Mechanisms of southern African rainfall variability in coupled climate models." Thesis, University of Oxford, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.496573.

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18

Anderson, Karen. "Temporal variability in calibration target reflectance : methods, models and applications." Thesis, University of Southampton, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.419019.

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19

Loeza-Serrano, Sergio Ivan. "Optimal statistical design for variance components in multistage variability models." Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/optimal-statistical-design-for-variance-components-in-multistage-variability-models(d407bb0e-cbb0-4ef8-ab6d-80cf3e4327cb).html.

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This thesis focuses on the construction of optimum designs for the estimation of the variance components in multistage variability models. Variance components are the model parameters that represent the different sources of variability that affect the response of a system. A general and highly detailed way to define the linear mixed effects model is proposed. The extension considers the explicit definition of all the elements needed to construct a model. One key aspect of this formulation is that the random part is stated as a functional that individually determines the form of the design matr

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20

Tërnava, Xhevahire. "Gestion de la variabilité au niveau du code : modélisation, traçabilité et vérification de cohérence." Thesis, Université Côte d'Azur (ComUE), 2017. http://www.theses.fr/2017AZUR4114/document.

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Durant le développement de grandes lignes de produits logiciels, un ensemble de techniques d’implémentation traditionnelles, comme l’héritage ou les patrons de conception, est utilisé pour implémenter la variabilité. La notion de feature, en tant qu’unité réutilisable, n’a alors pas de représentation de première classe dans le code, et un choix inapproprié de techniques entraîne des incohérences entre variabilités du domaine et de l’implémentation. Dans cette thèse, nous étudions la diversité de la majorité des techniques d’implémentation de la variabilité, que nous organisons dans un catalogu

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21

Ponce, Alvarez Adrián. "Probabilistic models for studying variability in single-neuron and neuronal ensemble activity." Thesis, Aix-Marseille 2, 2010. http://www.theses.fr/2010AIX20706.

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Une des caractéristiques les plus singulières de l’activité corticale est son degré élevé de variabilité. Ma thèse dedoctorat s’est focalisée sur l’étude de (i) l’irrégularité des intervalles entre potentiels d’action (PAs)successivement émis par un neurone, et (ii) la variabilité dans l’évolution temporelle de l’activité d’un ensemblede neurones. Premièrement, j’ai étudié l’irrégularité des neurones enregistrés dans le cortex moteur de singesmacaques performant une tâche d’estimation du temps et de préparation à l’action. J’ai montré que l’irrégularitén’est pas un paramètre libre de l’activit

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22

Primeau, François W. (François William) 1966. "Multiple equilibria and low-frequency variability of wind-driven ocean models." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/58512.

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Thesis (Ph. D.)--Joint Program in Physical Oceanography (Massachusetts Institute of Technology, Dept. of Earth, Atmospheric, and Planetary Sciences; and the Woods Hole Oceanographic Institution), 1998.<br>Includes bibliographical references (leaves 156-158).<br>by François W. Primeau.<br>Ph.D.

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23

Morin, Brice. "Leveraging models from design-time to runtime to support dynamic variability." Rennes 1, 2010. http://www.theses.fr/2010REN1S101.

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This thesis presents a Model-Driven and Aspect-Oriented approach to tame the complexity of Dynamically Adaptive Systems (DAS). At design-time, we capture the different facets of a DAS (variability, environment/context, reasoning and architecture) using dedicated metamodels. Each feature of the variability model describing a DAS is refined into an aspect model. We leverage these design models at runtime to drive the dynamic adaptation process. Both the running system and its execution context are abstracted as models. Depending on the current context (model) a reasoner interprets the reasoning

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24

Yuen, Wai-kee, and 袁偉基. "A historical event analysis of the variability in the empirical uncovered interest parity (UIP) coefficient." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B36424201.

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25

Crawford, Scott Daniel. "Sources of Variability in a Proteomic Experiment." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1534.pdf.

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26

Salazar-Ferrer, Olivier. "Climatic variability and aperiodic behaviour: low order climate models and dynamical reconstruction." Doctoral thesis, Universite Libre de Bruxelles, 1989. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/213250.

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27

Osborn, Timothy J. "Internally-generated variability in some ocean models on decadal to millennial timescales." Thesis, University of East Anglia, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.297045.

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28

Cetina, Englada Carlos. "Achieving Autonomic Computing through the Use of Variability Models at Run-time." Doctoral thesis, Universitat Politècnica de València, 2010. http://hdl.handle.net/10251/7484.

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Increasingly, software needs to dynamically adapt its behavior at run-time in response to changing conditions in the supporting computing infrastructure and in the surrounding physical environment. Adaptability is emerging as a necessary underlying capability, particularly for highly dynamic systems such as context-aware or ubiquitous systems. By automating tasks such as installation, adaptation, or healing, Autonomic Computing envisions computing environments that evolve without the need for human intervention. Even though there is a fair amount of work on architectures and their theo

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29

Cheung, Anson H., Michael E. Mann, Byron A. Steinman, Leela M. Frankcombe, Matthew H. England, and Sonya K. Miller. "Comparison of Low-Frequency Internal Climate Variability in CMIP5 Models and Observations." AMER METEOROLOGICAL SOC, 2017. http://hdl.handle.net/10150/624456.

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Low-frequency internal climate variability (ICV) plays an important role in modulating global surface temperature, regional climate, and climate extremes. However, it has not been completely characterized in the instrumental record and in the Coupled Model Intercomparison Project phase 5 (CMIP5) model ensemble. In this study, the surface temperature ICV of the North Pacific (NP), North Atlantic (NA), and Northern Hemisphere (NH) in the instrumental record and historical CMIP5 all-forcing simulations is isolated using a semiempirical method wherein the CMIP5 ensemble mean is applied as the exte

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30

Forney, Karin A. "Patterns of variability and environmental models of relative abundance for California cetaceans /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1997. http://wwwlib.umi.com/cr/ucsd/fullcit?p9823699.

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31

Pouder, Jessica Anne. "Using Human Footprint Models and Land-Cover Variability to Predict Ecological Processes." W&M ScholarWorks, 2014. https://scholarworks.wm.edu/etd/1539626953.

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32

Brogan, Roisin. "The Variability of the R Magnitude in Dynamical Models of AGB Stars." Thesis, Uppsala universitet, Teoretisk astrofysik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-392377.

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This report will first give a brief background on asymptotic giant branch (AGB) stars and the characteristics that make them interesting to study. Some methods and tools used in the field are then introduced, before the photometric variability of these stars is investigated. This is achieved by using data from dynamical models of AGB stars with differing chemical abundances. The R, J and K bands of the UBVRI system are specifcally investigated to explore whether these are good candidates for AGB photometric and spectroscopic research. Lastly, the molecular features at these wavelengths are inv

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33

Vazquez, Heather. "Evaluating Changes to Natural Variability on a Warming Globe in CMIP5 Models." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3737.

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Global mean surface temperatures (GMST) warmed in the early 20th century, experienced a mid-century lull, and warmed again steadily until 1997. Observations at the turn of the 21st century have revealed another period of quiescent warming of GMSTs from 1998 to 2012, thus prompting the notion of a global warming “hiatus”. The warming hiatus occurred concurrently with steadily increasing atmospheric greenhouse gas concentrations, sea level rise, and retreating arctic sea ice. The occurrence of the warming hiatus suggests that natural variability continues to be a sizable contributor to modern cl

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34

Serra, Yolande L., and Kerrie Geil. "Historical and Projected Eastern Pacific and Intra-Americas Sea TD-Wave Activity in a Selection of IPCC AR5 Models." AMER METEOROLOGICAL SOC, 2017. http://hdl.handle.net/10150/624034.

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The tracks of westward-propagating synoptic disturbances across the Intra-Americas Sea (IAS) and far-eastern Pacific, known as easterly waves or tropical depression (TD) waves, are an important feature of the region's climate. They are associated with heavy rainfall events, seed the majority of tropical cyclones, and contribute to the mean rainfall across the region. This study examines the ability of current climate models (CMIP5) to simulate TD-wave activity and associated environmental factors across the IAS and far-eastern Pacific as compared to reanalysis. Model projections for the future

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35

Santoso, Agus Mathematics &amp Statistics Faculty of Science UNSW. "Evolution of climate anomalies and variability of Southern Ocean water masses on interannual to centennial time scales." Awarded by:University of New South Wales. School of Mathematics and Statistics, 2005. http://handle.unsw.edu.au/1959.4/33355.

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In this study the natural variability of Southern Ocean water masses on interannual to centennial time scales is investigated using a long-term integration of the Commonwealth Scientic and Industrial Research Organisation (CSIRO) coupled climate model. We focus our attention on analysing the variability of Antarctic IntermediateWater (AAIW), Circumpolar DeepWater (CDW), and Antarctic Bottom Water (AABW). We present an analysis of the dominant modes of temperature and salinity (T - S) variability within these water masses. Climate signals are detected and analysed as they get transmitted into t

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36

Steele, Clint, and n/a. "The prediction and management of the variability of manufacturing operations." Swinburne University of Technology, 2005. http://adt.lib.swin.edu.au./public/adt-VSWT20060815.151147.

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Aim: To investigate methods that can be used to predict and manage the effects of manufacturing variability on product quality during the design process. Methodology: The preliminary investigation is a review and analysis of probabilistic methods and quality metrics. Based on this analysis, convenient robustification methods are developed. In addition, the nature of the flow of variability in a system is considered. This is then used to ascertain the information needed for an input variable when predicting the quality of a proposed design. The second, and major, part of the investigation is a

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37

Johnson, David. "The spatial and temporal variability of nearshore currents." University of Western Australia. Centre for Water Research, 2004. http://theses.library.uwa.edu.au/adt-WU2004.0067.

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The nearshore current field, defined here as the residual horizontal flow after averaging over the incident wave period, exhibits variability at a range of time and space scales. Some of the variable currents are low frequency gravity wave motions. However, variable, rotational (in the sense of possessing vertical vorticity) flow can also exist as part of the overall nearshore current field. A field and numerical modelling investigation of these variable rotational currents has been carried out. Drifters, which were developed for surfzone use, enabled measurement of the nearshore current stru

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38

Struble, Nigel. "Measuring Glycemic Variability and Predicting Blood Glucose Levels Using Machine Learning Regression Models." Ohio University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1382664092.

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Robinson, Emma Claire. "Characterising population variability in brain structure through models of whole-brain structural connectivity." Thesis, Imperial College London, 2010. http://hdl.handle.net/10044/1/5875.

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Models of whole-brain connectivity are valuable for understanding neurological function. This thesis seeks to develop an optimal framework for extracting models of whole-brain connectivity from clinically acquired diffusion data. We propose new approaches for studying these models. The aim is to develop techniques which can take models of brain connectivity and use them to identify biomarkers or phenotypes of disease. The models of connectivity are extracted using a standard probabilistic tractography algorithm, modified to assess the structural integrity of tracts, through estimates of white

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40

Bates, Rebecca Anne. "Speaker dynamics as a source of pronunciation variability for continuous speech recognition models /." Thesis, Connect to this title online; UW restricted, 2004. http://hdl.handle.net/1773/5858.

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Galindo, Duarte José Ángel. "Evolution, testing and configuration of variability systems intensive." Thesis, Rennes 1, 2015. http://www.theses.fr/2015REN1S008/document.

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Une particularité importante du logiciel est sa capacité à être adapté et configuré selon différents scénarios. Récemment, la variabilité du logiciel a été étudiée comme un concept de première classe dans différents domaines allant des lignes de produits logiciels aux systèmes ubiquitaires. La variabilité est la capacité d'un produit logiciel à varier en fonction de différentes circonstances. Les systèmes à forte variabilité mettent en jeu des produits logiciels où la gestion de la variabilité est une activité d'ingénierie prédominante. Les diverses parties de ces systèmes sont couramment modé

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42

Soukharev, B. E., and L. L. Hood. "Solar cycle variation of stratospheric ozone: Multiple regression analysis of long-term satellite data sets and comparisons with models." AMER GEOPHYSICAL UNION, 2006. http://hdl.handle.net/10150/623340.

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Previous multiple regression analyses of the solar cycle variation of stratospheric ozone are improved by (1) analyzing three independent satellite ozone data sets with lengths extending up to 25 years and (2) comparing column ozone measurements with ozone profile data during the 1992–2003 period when no major volcanic eruptions occurred. Results show that the vertical structure of the tropical ozone solar cycle response has been consistently characterized by statistically significant positive responses in the upper and lower stratosphere and by statistically insignificant responses in the mid

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43

Knowlton, Nicholas Scott. "Robust estimation of inter-chip variability to improve microarray sample size calculations." Oklahoma City : [s.n.], 2005.

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44

Kuhlbrodt, Till. "Stability and variability of open-ocean deep convection in deterministic and stochastic simple models." Phd thesis, [S.l. : s.n.], 2002. http://pub.ub.uni-potsdam.de/2002/0033/kuhlb.pdf.

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Myers, Timothy Albert. "Investigating the variability of subtropical marine boundary layer clouds in observations and climate models." Thesis, University of California, San Diego, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3714206.

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<p> Low-level clouds found over the eastern subtropical oceans have a substantial cooling effect on Earth’s climate since they strongly reflect solar radiation back to space, and their simulation in climate models contributes to large uncertainty in global warming projections. This thesis aims to increase understanding of these marine boundary layer clouds through observational analysis, theoretical considerations, and an evaluation of their simulation in climate models. Examination of statistical relationships between cloud properties and large-scale meteorological variables is a key me

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46

Das, Tapash. "The impact of spatial variability of precipitation on the predictive uncertainty of hydrological models." [S.l. : s.n.], 2006. http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-28827.

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47

MISTRY, MALCOLM. "Impacts of climate change and variability on crop yields using emulators and empirical models." Doctoral thesis, Università Ca' Foscari Venezia, 2017. http://hdl.handle.net/10278/3716714.

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La tesi valuta gli impatti dei cambiamenti climatici e della variabilità climatica sulla produttività agricola a scala regionale e globale analizzando dati ad alta risoluzione spaziale con metodi econometrici. La tesi utilizza dati provenienti da sei modelli globali delle rese agricole per quattro coltivazioni non irrigate (mais, riso, soia, e grano) per costruire un emulatore da integrare in modelli di valutazione integrata (IAMs). La prestazione dell’emulatore statistico è valutata su scala regionale utilizzando modelli empirici basati su osservazioni storiche per gli Stati Uniti. Il Cap

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Mistry, Malcolm Noshir <1977&gt. "Impacts of climate change and variability on crop yields using emulators and empirical models." Doctoral thesis, Università Ca' Foscari Venezia, 2016. http://hdl.handle.net/10579/10345.

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The thesis assesses impacts of climate change and variability on regional and global crop yields using econometric approaches to analyze global gridded data. Using a large dimension panel data of six Global Gridded Crop Models (GGCMs) for four rainfed crops (maize, rice, soybeans and wheat) an emulator suitable/amenable of being integrated into Integrated Assessment Models (IAMs) is built. The performance of the emulator is evaluated against observational-based, empirical models at regional scale by building a statistical model calibrated on historical observed crop yields data for United Stat

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O'Hara, Jeffrey Keith. "Water resources planning under climate change and variability." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2007. http://wwwlib.umi.com/cr/ucsd/fullcit?p3259069.

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Thesis (Ph. D.)--University of California, San Diego, 2007.<br>Title from first page of PDF file (viewed June 21, 2007). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references.

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Chimidza, Oyapo. "The variability and predictability of the IRI shape parameters over Grahamstown, South Africa." Thesis, Rhodes University, 2008. http://hdl.handle.net/10962/d1005282.

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The International Reference Ionosphere (IRI) shape parameters B0, B1, and D1 provide a representation of the shape of the F2 layer, the thickness of the F2 layer and the shape of the F1 layer of the ionosphere respectively. The aim of this study was to examine the variability of these parameters using Grahamstown, South Africa (33.3±S, 26.5±E) ionosonde data and determine their predictability by the IRI-2001 model. A further aim of this study was to investigate developing an alternative model for predicting these parameters. These parameters can be determined from electron density profiles tha

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