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Dissertations / Theses on the topic 'Variability Statistic'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Rose, Michael Benjamin. "A Search for Low-Amplitude Variability Among Population I Main Sequence Stars." BYU ScholarsArchive, 2006. https://scholarsarchive.byu.edu/etd/915.

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The detection of variable stars in open clusters is an essential component of testing stellar structure and evolution theories. The ability to detect low-amplitude variability among cluster members is directly related to the quality of the photometric results. Point Spread Function (PSF) fitting is the best method available for measuring accurate magnitudes within crowded fields of stars, while high-precision differential photometry is the preferred technique for removing the effects of atmospheric extinction and variable seeing. In the search for new variable stars among hundreds or thousands

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Akyel, Kaya Can. "Statistical methodologies for modelling the impact of process variability in ultra-deep-submicron SRAMs." Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENT080/document.

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La miniaturisation des transistors vers ses ultimes limites physiques a exacerbé les effets négatifs qui sont liées à la granularité de la matière. Plusieurs nouvelles sources de variabilités affectent les transistors qui, bien qu'identiquement dessinés, montrent des caractéristiques électriques qui sont variables entre eux et entre différents moments de leur utilisation. Les circuits de mémoire SRAM, qui sont conçues avec des règles de dessin parmi le plus agressives et contiennent un nombre de transistors très élevé, sont menacés en particulier par ce phéomène de variabilité qui représente l

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Szmek, Tomáš. "Stabilita procesu výroby železničních podkladnic." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2011. http://www.nusl.cz/ntk/nusl-229776.

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The master’s thesis is focused on process monitoring using statistical process control SPC tools. It is designed as a guide for the implementation and use of control charts in the manufacturing process of the base plates, which would ultimately be conducive to improving and stabilizing the process. The theoretical parts are the basic attitudes and practices methodology of SPC, especially classical Shewhart control charts. The next section describes the current status in Strojírny Třinec, a.s. and the manufacturing process of the base plates. Followed by application of control charts for a give

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Světlíková, Barbora. "Statistická regulace výrobního procesu ve firmě." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2009. http://www.nusl.cz/ntk/nusl-222205.

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Using statistical methods to evaluate quality, it is possible to discover cases of non-accidental variances in quality-evaluating parameters and to analyse the reasons for their occurrence. The identification of these reasons enables their removal and the improvement of product quality. Routine evaluation of quality levels is facilitated by the employment of computer technology.

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Slauson, Leigh Victoria. "Students' conceptual understanding of variability." Columbus, Ohio : Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1199117318.

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6

Asenov, Plamen. "Accurate statistical circuit simulation in the presence of statistical variability." Thesis, University of Glasgow, 2013. http://theses.gla.ac.uk/4996/.

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Semiconductor device performance variation due to the granular nature of charge and matter has become a key problem in the semiconductor industry. The main sources of this ‘statistical’ variability include random discrete dopants (RDD), line edge roughness (LER) and metal gate granularity (MGG). These variability sources have been studied extensively, however a methodology has not been developed to accurately represent this variability at a circuit and system level. In order to accurately represent statistical variability in real devices the GSS simulation toolchain was utilised to simulate 10

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7

Díaz, Fortuny Javier. "A versatile framework for the statistical characterization of CMOS time-zero and time-dependent variability with array-based ICs." Doctoral thesis, Universitat Autònoma de Barcelona, 2019. http://hdl.handle.net/10803/667954.

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Desde la invención en 1960 del transistor de efecto de campo metal-óxido-semiconductor (MOSFET por sus siglas en inglés), la industria de semiconductores no ha cesado en la creación de nuevas invenciones para reducir las dimensiones de los transistores de la escala micrométrica (< 10-μm) a las dimensiones actuales de 7-14-nm, o incluso para la creación del nuevo nódulo tecnológico de 5-nm, cuya fabricación está prevista para 2020-2021, con el objetivo de fabricar dispositivos más fiables y circuitos más avanzados, con miles de millones de transistores por chip. Con todos los beneficios que

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8

Blume, Christian [Verfasser]. "Statistical learning to model stratospheric variability / Christian Blume." Berlin : Freie Universität Berlin, 2012. http://d-nb.info/1027815650/34.

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9

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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10

Zhou, Long. "Mesoscale variability and Lagrangian statistics in the tropical North Atlantic /." View online ; access limited to URI, 2009. http://digitalcommons.uri.edu/dissertations/AAI3401129.

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Naskar, Susmita. "Spatial variability characterisation of laminated composites." Thesis, University of Aberdeen, 2018. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=239036.

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Advanced lightweight structural materials like composites are being increasingly utilized in various engineering applications due to high specific strength and stiffness with tailorable properties. Even though composites have the advantage of modulating a large number of design parameters to achieve various application-specific requirements, this concurrently brings the challenge of dealing with inevitable uncertainties during manufacturing and service-life conditions. This dissertation focuses on practically relevant modelling of random spatial variability coupled with the influence of damage

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12

Greenholtz, Deborah Esther 1958. "Spatial variability of hydrologic properties in an irrigated soil." Thesis, The University of Arizona, 1990. http://hdl.handle.net/10150/278505.

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The spatial and temporal variability of water content, soil water tension, and derived hydraulic conductivity parameters are analyzed using geostatistical methods. The measured data sets were obtained from a 1985 experiment near Las Cruces, New Mexico. Post-irrigation water content and tension measurements had been recorded over 44 days at 455 sampling locations along a 91 x 1.5-meter transect. Unsaturated hydraulic conductivity values are derived using the instantaneous profile formula, and an exponential model is used to obtain values of saturated hydraulic conductivity and pore-size distrib

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13

Fischer, Lucas. "Statistical characterisation of water vapour variability in the troposphere." Diss., Ludwig-Maximilians-Universität München, 2013. http://nbn-resolving.de/urn:nbn:de:bvb:19-162089.

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Tropospheric water vapour plays an important role in thermodynamic and radiative processes which have an immediate impact on the weather and climate system. However, the processes that determine the distribution of water vapour remain poorly understood. The complexity arises out of a range of source and sink processes from convective clouds on the kilometre scale to cloud systems associated with motions on scales of a thousand or more kilometres, as well as advection of water vapour as a passive tracer outside of clouds. While large-scale advection of water vapour is well represented in g

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Prakash, Srinivasamurthy Ravi. "Vestibular Evoked Myogenic Potentials : physiology, variability, and statistical characteristics." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/54587.

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Thesis (Ph. D.)--Harvard-MIT Division of Health Sciences and Technology, 2009.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references.<br>Vestibular Evoked Myogenic Potentials (VEMPs) are electrical signals recorded from the skin overlying skeletal muscles of the head and neck in response to high-intensity acoustic stimuli. VEMPs have been observed in stimulus locked averages of the electromyogram in a majority of human subjects, and are thought to originate in the otolith organs of the inner ear, which are balance organs responsible for sensing acceleration and orient

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15

Merrett, Michael. "Modelling statistical variability within circuits using nano-CMOS technologies." Thesis, University of Southampton, 2012. https://eprints.soton.ac.uk/340620/.

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Systems have been designed and synthesized using CMOS technology for many years, with improvements in the fabrication process allowing designs to be scaled onto smaller areas with relative ease. The introduction of nano scale CMOS technologies has ended this time of simple scaling, as variations within the silicon now dramatically affect circuit performance and manufacturing yield. These random physical variations cannot be removed from the manufacturing process, requiring that their affects are modelled, predicted and accommodated within the design process. This thesis presents an investigati

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16

Xu, Li. "Statistical Methods for Variability Management in High-Performance Computing." Diss., Virginia Tech, 2021. http://hdl.handle.net/10919/104184.

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High-performance computing (HPC) variability management is an important topic in computer science. Research topics include experimental designs for efficient data collection, surrogate models for predicting the performance variability, and system configuration optimization. Due to the complex architecture of HPC systems, a comprehensive study of HPC variability needs large-scale datasets, and experimental design techniques are useful for improved data collection. Surrogate models are essential to understand the variability as a function of system parameters, which can be obtained by mathematic

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17

Pender, Douglas. "A statistical-process based approach for modelling beach profile variability." Thesis, University of Glasgow, 2013. http://theses.gla.ac.uk/4542/.

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As the debate into a changing global climate continues, it is important that coastal engineers and scientists have the most advanced tools to quantify any resulting variation in the coastal environment. This will aid the creation and implementation of effective shoreline management plans to mitigate these changes. This thesis presents a new combined Statistical-Process based Approach (SPA) for modelling storm driven, cross-shore, beach profile variability at a medium-term (annual to decadal) timescale. The methodology presented involves combining the detailed statistical modelling of offshore

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18

Klingspohn, Martin. "Statistical analysis of the interdecadal variability over the North Atlantic." Universitätsbibliothek Leipzig, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-213076.

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The climate variability over the North Atlantic region is described in the 10-50 year band, using a 500-year integration of the Hamburg ECHAMl/LSG coupled general circulation model. In order to isolate nearly periodic components of the atmosphere and the ocean, the multichannel version of the singular spectrum analysis (MSSA) is applied to 11 components of the climate system. In doing so the main focus is on the turbulent exchange between the two subsystems. One interdecadal oscillation of the system ocean and atmosphere is detected with a period of about 18 years. The associated anomalies of

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19

Hopkins, Joanne E. "Statistical modelling and variability of the subtropical front, New Zealand." Thesis, University of Southampton, 2008. https://eprints.soton.ac.uk/63759/.

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Ocean fronts are narrow zones of intense dynamic activity that play an important role in global ocean-atmosphere interactions. Of particular significance is the circumglobal frontal system of the Southern Ocean where intermediate water masses are formed, heat, salt, nutrients and momentum are redistributed and carbon dioxide is absorbed. The northern limit of this frontal band is marked by the Subtropical Front, where subtropical gyre water convergences with colder subantarctic water. Owing to their highly variable nature, both in space and time, ocean fronts are notoriously difficult features

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Klingspohn, Martin. "Statistical analysis of the interdecadal variability over the North Atlantic." Wissenschaftliche Mitteilungen des Leipziger Instituts für Meteorologie ; 4 = Meteorologische Arbeiten aus Leipzig ; 2 (1996), S. 170-186, 1996. https://ul.qucosa.de/id/qucosa%3A15063.

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The climate variability over the North Atlantic region is described in the 10-50 year band, using a 500-year integration of the Hamburg ECHAMl/LSG coupled general circulation model. In order to isolate nearly periodic components of the atmosphere and the ocean, the multichannel version of the singular spectrum analysis (MSSA) is applied to 11 components of the climate system. In doing so the main focus is on the turbulent exchange between the two subsystems. One interdecadal oscillation of the system ocean and atmosphere is detected with a period of about 18 years. The associated anomalies of

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21

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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22

Slauson, Leigh Victoria. "Students' conceptual understanding of variablity." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1199117318.

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23

Peroutka, Michal. "Využití statistických metod pro zajištění způsobilosti procesu výroby." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-241569.

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The diploma thesis deals with usage of statistical methods to assure capability of production process. The theoretical part includes the definition of quality management, basic statistical concepts and statistical process control. The practical part presents basic information about the company P & L, spol. s r. o. and analyzes the production process of selected parts. The tools of statistical process control are applied and measures to assure capability of production process are proposed.

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24

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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25

BENAZZO, Andrea. "LE SIMULAZIONI DEL PROCESSO COALESCENTE IN GENETICA DI POPOLAZIONI: INFERENZE DEMOGRAFICHE ED EVOLUTIVE." Doctoral thesis, Università degli studi di Ferrara, 2012. http://hdl.handle.net/11392/2389456.

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The main goal of population genetics is to understand the factors that affect genetic variation within a species. Mathematical models are used to predict the effects on genetic variation of processes such as mutation, recombination, selection, migration and population size changes, but analytical results are difficult to obtain when these processes interact and when equilibrium conditions are not met. In these situations, common in real biological systems especially when recent human activities (e.g., stocking, urbanization, overhunting) perturb natural populations, computer simulations can be

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Mandapaka, Venkata Pradeep Krajewski Witold F. "Role of rainfall variability in the statistical structure of peak flows." [Iowa City, Iowa] : University of Iowa, 2009. http://ir.uiowa.edu/etd/403.

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Zaremba, Wojciech. "Modeling the variability of EEG/MEG data through statistical machine learning." Habilitation à diriger des recherches, Ecole Polytechnique X, 2012. http://tel.archives-ouvertes.fr/tel-00803958.

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Brain neural activity generates electrical discharges, which manifest as electrical and magnetic potentials around the scalp. Those potentials can be registered with magnetoencephalography (MEG) and electroencephalography (EEG) devices. Data acquired by M/EEG is extremely difficult to work with due to the inherent complexity of underlying brain processes and low signal-to-noise ratio (SNR). Machine learning techniques have to be employed in order to reveal the underlying structure of the signal and to understand the brain state. This thesis explores a diverse range of machine learning techniqu

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Zambreski, Zachary Todd. "A statistical assessment of drought variability and climate prediction for Kansas." Thesis, Kansas State University, 2016. http://hdl.handle.net/2097/34137.

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Master of Science<br>Department of Agronomy<br>Xiaomao Lin<br>The high-quality climate data and high-resolution soil property data in Kansas and adjacent states were used to develop drought datasets for the monthly Palmer Drought Severity Index (PDSI), Standardized Precipitation Index (SPI), and the Standardized Precipitation-Evapotranspiration Index (SPEI) over 1900 to 2014. The statistical analysis of these multiple drought indices were conducted to assess drought occurrence, duration, severity, intensity, and return period. Results indicated that the PDSI exhibited a higher frequency for ev

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Mandapaka, Venkata Pradeep. "Role of rainfall variability in the statistical structure of peak flows." Diss., University of Iowa, 2009. https://ir.uiowa.edu/etd/403.

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This thesis examines the role of rainfall variability and uncertainties on the spatial scaling structure of peak flows using the Whitewater River basin in Kansas, and Iowa River basin in Iowa as illustrations. We illustrate why considering individual hydrographs at the outlet of a basin can lead to misleading interpretations of the effects of rainfall variability. The variability of rainfall is characterized in terms of storm intensity, duration, advection velocity, zero-rain intermittency, variance and spatial correlation structure. We begin with the simple scenario of a basin receiving spati

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Duan, Linshu. "Model-based testing of automotive HMIs with consideration for product variability." Diss., lmu, 2012. http://nbn-resolving.de/urn:nbn:de:bvb:19-145226.

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31

Ribardo, Charles Louis. "Desirability functions for comparing arc welding parameter optimization methods and for addressing process variability under six sigma assumptions /." The Ohio State University, 2000. http://rave.ohiolink.edu/etdc/view?acc_num=osu1488203857249003.

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32

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

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Nouguier, Damien. "Etude statistique et modélisation de la dégradation NBTI pour les technologies CMOS FDSOI et BULK." Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAT068/document.

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L’industrie microélectronique arrive à concevoir des transistors atteignant dimensions de l’ordre de la dizaine de nanomètres. Et ce faisant elle tend atteindre ses limites en terme de réduction des dimensions des transistors CMOS. Or à ces dimensions, la fiabilité et la variabilité des dispositifs prennent une ampleur critique en ce qui concerne les prédictions de durée de vie et de garantie des composants. Parmi les aspects critiques, la dégradation NBTI (Négative Bias Temperature Instability) représente l’un des plus gros défis en termes de fiabilité. Cette dégradation tire son origine d’un

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Avois-Jacquet, Carol. "Variabilité spatiale multiéchelle du zooplancton dans un lagoon récifal côtier (Multiscale spatial variability of zooplankton in a coastal reef lagoon)." Phd thesis, Université Pierre et Marie Curie - Paris VI, 2002. http://tel.archives-ouvertes.fr/tel-00001767.

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Variabilité spatiale multiéchelle du zooplancton dans un lagoon récifal côtier - L'identification des changements dans les patrons écologiques selon l'échelle spatiale et la compréhension des processus qui génèrent ces changements sont d'une importance considérable en océanographie. Dans ce contexte, comprendre comment une communauté biologique répond à l'hétérogénéité environnementale requiert la connaissance des processus impliqués et l'échelle spatiale à laquelle ils opèrent. Les relations spatiales entre la variabilité du zooplancton et l'hétérogénéité environnementale sont encore imprécis

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Wagstaffe, Daniel Raymond. "Spatial Variability of Soil Velocity using Passive Surface Wave Testing." DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1526.

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Lifelines such as highways, pipelines, telecommunication lines, and powerlines provide communities with vital services, and their functionality is dependent upon the foundation soil that supports them. However, when designing the infrastructure, it can be difficult to know where to test the soil in order to give spatially representative sampling, particularly for long, lifeline structures. Finding this distance requires knowledge of the spatial correlation and/or the spatial variability of the soil parameter (stiffness, cohesion, etc.). But this correlation distance is not typically found in p

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Wittenburg, Dörte [Verfasser]. "Statistical modelling of birth weight variability within litter in pigs / Dörte Wittenburg." Greifswald : Universitätsbibliothek Greifswald, 2008. http://d-nb.info/1044250720/34.

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Alves, Fonseca Renan. "Test et Fiabilité des Mémoires SRAM." Thesis, Montpellier 2, 2011. http://www.theses.fr/2011MON20055/document.

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Aujourd'hui, les mémoires SRAM sont faites avec les technologies les plus rapides et sont parmi les éléments les plus importants dans les systèmes complexes. Les cellules SRAM sont souvent conçues en utilisant les dimensions minimales du nœud technologique. En conséquence, les SRAM sont plus sensibles à de nouveaux phénomènes physiques qui se produisent dans ces technologies, et sont donc extrêmement vulnérables aux défauts physiques. Afin de détecter si chaque composant est défectueux ou non, des procédures de test de haut coût sont employées. Différentes questions liées à cette procédure de

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Galbincea, Nicholas D. "Critical Analysis of Dimensionality Reduction Techniques and Statistical Microstructural Descriptors for Mesoscale Variability Quantification." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1500642043518197.

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Nelson, A. D. "Observation-Model Comparisons of Near-Surface Ocean Variability on Interannual, Multidecadal, and Orbital Time Scales." Thesis, University of Colorado at Boulder, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10283702.

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<p> This thesis explores the concepts and techniques of observation-model comparisons of the natural variability of the near-surface ocean on three different time scales. The emphasis on natural variability includes removing the all-time trend and seasonality of the data. All analyses used model outputs of the Community Climate System Model version 3.5 (CCSM3.5). </p><p> The first work, <u>An Ensemble Observing System Simulation Experiment of Global Ocean Heat Content Variability,</u> introduces the use of ensemble of model time series to study how a set of observations and how they are proc

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Moezi, Negin. "Statistical compact model strategies for nano CMOS transistors subject of atomic scale variability." Thesis, University of Glasgow, 2012. http://theses.gla.ac.uk/3447/.

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One of the major limiting factors of the CMOS device, circuit and system simulation in sub 100nm regimes is the statistical variability introduced by the discreteness of charge and granularity of matter. The statistical variability cannot be eliminated by tuning the layout or by tightening fabrication process control. Since the compact models are the key bridge between technology and design, it is necessary to transfer reliably the MOSFET statistical variability information into compact models to facilitate variability aware design practice. The aim of this project is the development of a stat

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Park, Woo Sun. "The sources of variability in the statistical energy analysis of two rectangular plates." Thesis, University of Southampton, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.271652.

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De, Angelis Luca <1978&gt. "Metodi statistici a variabili latenti per lo studio di fenomeni finanziari." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2010. http://amsdottorato.unibo.it/2525/1/Metodi_statistici_a_variabili_latenti.pdf.

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Negli ultimi decenni il concetto di variabile latente ha riscosso un enorme successo nelle discipline statistiche come attestano i numerosi lavori scientifici presenti in letteratura. In particolare, nelle scienze sociali e in psicometria, l’uso del concetto di variabile latente è stato largamente adottato per far fronte al problema di misurare quantità che, in natura, non possono essere direttamente osservate. La vasta letteratura riguardante questa metodologia si espande, in maniera più limitata, anche al campo della ricerca economica ed econometrica. Nonostante esistano studi di modelli a s

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De, Angelis Luca <1978&gt. "Metodi statistici a variabili latenti per lo studio di fenomeni finanziari." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2010. http://amsdottorato.unibo.it/2525/.

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Negli ultimi decenni il concetto di variabile latente ha riscosso un enorme successo nelle discipline statistiche come attestano i numerosi lavori scientifici presenti in letteratura. In particolare, nelle scienze sociali e in psicometria, l’uso del concetto di variabile latente è stato largamente adottato per far fronte al problema di misurare quantità che, in natura, non possono essere direttamente osservate. La vasta letteratura riguardante questa metodologia si espande, in maniera più limitata, anche al campo della ricerca economica ed econometrica. Nonostante esistano studi di modelli a s

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Raynaud, Damien. "Hydroclimatic variability and the integration of renewable energy in Europe : multiscale evaluation of the supply-demand balance for various energy sources and mixes." Thesis, Université Grenoble Alpes (ComUE), 2016. http://www.theses.fr/2016GREAU036/document.

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Dans un contexte de changement climatique, l'intégration des énergies renouvelables aux systèmes électriques est un enjeu majeur des décennies à venir. Les énergies liées au climat (photovoltaïque, éolien et hydro-électricité) peuvent contribuer à une réduction des émissions de gaz à effet de serre. Cependant, elles sont fortement intermittentes et la production électrique associée peine à répondre à la demande.Cette étude vise à évaluer la faisabilité météorologique du développement d'un système de production électrique basé sur les sources d'énergie liées au climat (CRE - Climate-Related Ene

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Mecenero, Silvia. "The diet of the Cape fur seal Arctocephalus pusillus pusillus in Namibia : variability and fishery interactions." Doctoral thesis, University of Cape Town, 2005. http://hdl.handle.net/11427/4387.

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Xiaochen, Liu. "Statistical Analysis of Integrated Circuits Using Decoupled Polynomial Chaos." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/34836.

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One of the major tasks in electronic circuit design is the ability to predict the performance of general circuits in the presence of uncertainty in key design parameters. In the mathematical literature, such a task is referred to as uncertainty quantification. Uncertainty about the key design parameters arises mainly from the difficulty of controlling the physical or geometrical features of the underlying design, especially at the nanometer level. With the constant trend to scale down the process feature size, uncertainty quantification becomes crucial in shortening the design time. To achieve

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Tanadini, Matteo. "Incorporating spatial and temporal variability in analyses of the relationship between biodiversity and ecosystem functioning." Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:73c52d36-2e8a-4e04-92e0-a67ed93d7090.

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In the last few decades, a growing literature has examined how biodiversity influences ecosystem functioning. This body of work has greatly improved our understanding of ecosystem functioning and its modulation by biodiversity. In particular, there is nowadays large consensus that biodiversity increases ecosystem productivity, and stabilises ecosystems. Early investigations were largely theoretical or involved simple experiments run in laboratory conditions, but over time biodiversity ecosystem-functioning experiments evolved to more realistic field experiments that better represent the real c

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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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Seiler, Christof. "Trees on Geometrical Deformations to Model the Statistical Variability of Organs in Medical Images." Phd thesis, Université de Nice Sophia-Antipolis, 2012. http://tel.archives-ouvertes.fr/tel-00844610.

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Dans l'analyse d'images médicales, les déformations géométriques sont utilisées pour modéliser la variabilité entre les patients. Dans les applications orthopédiques, la variabilité géométrique est habituellement observable à différentes échelles. Dans le cas des os mandibulaires, par exemple, on observe des différences anatomiques entre le côté gauche et droit sur une échelle grossière, ou entre les dents sur une échelle plus fine. Chaque niveau de granularité contient des régions d'intérêt pour les applications cliniques. La difficulté est de relier les déformations géométriques avec les rég

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Wang, Xingsheng. "Simulation study of scaling design, performance characterization, statistical variability and reliability of decananometer MOSFETs." Thesis, University of Glasgow, 2010. http://theses.gla.ac.uk/1810/.

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This thesis describes a comprehensive, simulation based scaling study – including device design, performance characterization, and the impact of statistical variability – on deca-nanometer bulk MOSFETs. After careful calibration of fabrication processes and electrical characteristics for n- and p-MOSFETs with 35 nm physical gate length, 1 nm EOT and stress engineering, the simulated devices closely match the performance of contemporary 45 nm CMOS technologies. Scaling to 25 nm, 18 nm and 13 nm gate length n and p devices follows generalized scaling rules, augmented by physically realistic cons

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