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Dissertations / Theses on the topic 'The amount of smoothing'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Friberg, Gusten, and Johansson Carl Åström. "What determines the amount of reported goodwill impairment? : An investigation of Nasdaq Stockholm OMX (OMXS)." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Företagsekonomi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-39539.

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Background: The question on how to account for goodwill has long been a subject that causes big debates among actors within financial accounting. In 2004, the IASB released a new standard, IFRS 3 – Business Combinations, that changed the accounting for goodwill. The interpretation for goodwill impairments according to IAS 36 has led to findings in studies that show patterns of earnings management and that a possible gap exists between the standard setter’s basic aim of IAS 36 and what actually is done by the practitioners. Purpose: Examine what determines the amount of reported goodwill impair

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2

Abu-Bakar, Aznan. "Consumption smoothing and financial intermediation among agricultural households in LDCs, a synthesis of recent literature." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ36386.pdf.

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3

Lawton, Richard. "Exponential smoothing methods." Thesis, University of Bath, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340928.

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4

Svetunkov, Ivan. "Complex exponential smoothing." Thesis, Lancaster University, 2016. http://eprints.lancs.ac.uk/82749/.

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Exponential smoothing is one of the most popular forecasting methods in practice. It has been used and researched for more than half a century. It started as an ad-hoc forecasting method and developed to a family of state-space models. Still all exponential smoothing methods are based on time series decomposition and the usage of such components as "level", "trend", "seasonality" and "error". It is assumed that these components may vary from one time series to another and take different forms depending on data characteristics. This makes their definition arbitrary and in fact there is no singl

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5

Guevara, Prieto Ivonne Alexandra. "Quantum State Smoothing." Thesis, Griffith University, 2016. http://hdl.handle.net/10072/367795.

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Smoothing is an estimation method whereby a classical state (probability distribution for classical variables) at a given time is conditioned on all-time (both past and future) observations. This method has been well developed in classical systems, but its application to quantum systems has only recently begun to be explored. Previous works have used the term "quantum smoothing" to mean estimating classical parameters, (Phys. Rev. Lett., 102, 250403, (2009)), which is essentially classical smoothing in which the noisy observation of the classical parameters is mediated by a quantum system. In

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6

Ni, Kai. "Tectonic smoothing and mapping." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/41072.

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Large-scale mapping has become the key to numerous applications, e.g. simultaneous localization and mapping (SLAM) for autonomous robots. Despite of the success of many SLAM projects, there are still some challenging scenarios in which most of the current algorithms are not able to deliver an exact solution fast enough. One of these challenges is the size of SLAM problems, which has increased by several magnitudes over the last decade. Another challenge for SLAM problems is the large amount of noise baked in the measurements, which often yields poor initializations and slows or even fails the

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7

Yake, Bronson Thomas. "Self-Smoothing Functional Estimation." MSSTATE, 2002. http://sun.library.msstate.edu/ETD-db/theses/available/etd-09032002-090546/.

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Analysis of measured data is often required when there is no deep understanding of the mathematics that accurately describes the process being measured. Additionally, realistic estimation of the derivative of measured data is often useful. Current techniques of accomplishing this type of data analysis are labor intensive, prone to significant error, and highly dependent on the expertise of the engineer performing the analysis. The ?Self-Smoothing Functional Estimation? (SSFE) algorithm was developed to automate the analysis of measured data and to provide a reliable basis for the extraction of

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8

Kaess, Michael. "Incremental smoothing and mapping." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26572.

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Thesis (Ph.D)--Computing, Georgia Institute of Technology, 2009.<br>Committee Chair: Dellaert, Frank; Committee Member: Bobick, Aaron; Committee Member: Christensen, Henrik; Committee Member: Leonard, John; Committee Member: Rehg, James. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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9

Saleh, Mojtaba. "Smoothing of Photovoltaic Generation." Thesis, Curtin University, 2017. http://hdl.handle.net/20.500.11937/66584.

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This study investigates the solutions to eliminate the intermittency of the photovoltaic (PV) generation resources in the electric grids. It addresses the battery storage backup as a conventional solution to absorb the sudden dips and rises in the PV generation, which are mainly attributed to passing clouds. This approach is further improved by incorporating the cloud prediction information produced by processing the real-time sky images. This proved to mitigate the reliance on the storage backup.

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10

Chakravarty, Subhashish. "Bayesian surface smoothing under anisotropy." Diss., University of Iowa, 2007. http://ir.uiowa.edu/etd/169.

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11

Simón, Colomar David, John-Olof Nilsson, and Peter Händel. "Smoothing for ZUPT-aided INSs." KTH, Signalbehandling, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-107414.

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Due to the recursive and integrative nature of zero-velocity-update-aided (ZUPT-aided) inertial navigation systems (INSs), the error covariance increases throughout each ZUPT-less period followed by a drastic decrease and large state estimate corrections as soon as ZUPTs are applied. For dead-reckoning with foot-mounted inertial sensors, this gives undesirable discontinuities in the estimated trajectory at the end of each step. However, for many applications, some degree of lag can be tolerated and the information provided by the ZUPTs at the end of a step can be made available throughout the

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12

Eichmann, Katrin. "Smoothing stochastic bang-bang problems." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2013. http://dx.doi.org/10.18452/16799.

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Motiviert durch das Problem der optimalen Strategie beim Handel einer großen Aktienposition, behandelt diese Arbeit ein stochastisches Kontrollproblem mit zwei besonderen Eigenschaften. Zum einen wird davon ausgegangen, dass das Kontrollproblem eine exponentielle Verzögerung in der Kontrollvariablen beinhaltet, zum anderen nehmen wir an, dass die Koeffizienten des Kontrollproblems linear in der Kontrollvariablen sind. Wir erhalten ein degeneriertes stochastisches Kontrollproblem, dessen Lösung - sofern sie existiert - Bang-Bang-Charakter hat. Die resultierende Unstetigkeit der optimalen Kont

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13

Chen, Yi Xin. "Customer concentration and sales smoothing." Thesis, University of Macau, 2018. http://umaclib3.umac.mo/record=b3959239.

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14

Maguire, David R. "Sensitivity of preference to reinforcement amount depends upon the method used to manipulate amount /." Electronic version (PDF), 2006. http://dl.uncw.edu/etd/2007-1/maguired/davidmaguire.pdf.

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15

Engelke, Stephan. "Smoothing-type methods for linear programs." [S.l.] : [s.n.], 2001. http://www.sub.uni-hamburg.de/disse/455/smooth.pdf.

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16

Meise, Monika. "Residual based selection of smoothing parameters." [S.l. : s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=974404551.

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17

Sancar, Yilmaz Aysun. "Edge Preserving Smoothing With Directional Consistency." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/2/12608511/index.pdf.

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Images may be degraded by some random error which is called noise. Noise may occur during image capture, transmission or processing and its elimination is achieved by smoothing filters. Linear smoothing filters blur the edges and edges are important characteristics of images and must be preserved. Various edge preserving smoothing filters are proposed in the literature. In this thesis, most common smoothing and edge preserving smoothing filters are discussed and a new method is proposed by modifying Ambrosio Tortorelli approximation of Mumford Shah Model. New method takes into edge direction c

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18

Kuivi, Mawuli Foli. "Estimation of principal points using smoothing." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/mq22619.pdf.

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19

Sneddon, William Gary. "Smoothing techniques in underdetermined linear models." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0027/NQ36562.pdf.

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20

Huang, Fuping. "Nonparametric censored regression by smoothing splines." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/NQ61977.pdf.

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21

Titrek, Fatih. "Smoothing and differentiation of dynamic data." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/3/12611924/index.pdf.

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Smoothing is an important part of the pre-processing step in Signal Processing. A signal, which is purified from noise as much as possible, is necessary to achieve our aim. There are many smoothing algorithms which give good result on a stationary data, but these smoothing algorithms don&rsquo<br>t give expected result in a non-stationary data. Studying Acceleration data is an effective method to see whether the smoothing is successful or not. The small part of the noise that takes place in the Displacement data will affect our Acceleration data, which are obtained by taking the second derivat

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22

Taghavi, Ehsan, Fredrik Lindsten, Lennart Svensson, and Thomas B. Schön. "Adaptive stopping for fast particle smoothing." Linköpings universitet, Reglerteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-93461.

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Particle smoothing is useful for offline state inference and parameter learning in nonlinear/non-Gaussian state-space models. However, many particle smoothers, such as the popular forward filter/backward simulator (FFBS), are plagued by a quadratic computational complexity in the number of particles. One approach to tackle this issue is to use rejection-sampling-based FFBS (RS-FFBS), which asymptotically reaches linear complexity. In practice, however, the constants can be quite large and the actual gain in computational time limited. In this contribution, we develop a hybrid method, governed

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23

Pötzelberger, Klaus, and Leopold Sögner. "Stochastic equilibrium. Learning by exponential smoothing." SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, 2000. http://epub.wu.ac.at/1514/1/document.pdf.

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This article considers three standard asset pricing models with adaptive agents and stochastic dividends. The models only differ in the parameters to be estimated. We assume that only limited information is used to construct estimators. Therefore, parameters are not estimated consistently. More precisely, we assume that the parameters are estimated by exponential smoothing, where past parameters are down-weighted and the weight of recent observations does not decrease with time. This situation is familiar for applications in finance. Even if time series of volatile stocks or bonds are availabl

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24

Cunningham, Alexander G. "Scalable online decentralized smoothing and mapping." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/51848.

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Many applications for field robots can benefit from large numbers of robots, especially applications where the objective is for the robots to cover or explore a region. A key enabling technology for robust autonomy in these teams of small and cheap robots is the development of collaborative perception to account for the shortcomings of the small and cheap sensors on the robots. In this dissertation, I present DDF-SAM to address the decentralized data fusion (DDF) inference problem with a smoothing and mapping (SAM) approach to single-robot mapping that is online, scalable and consistent while

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25

Moyeed, R. A. "A study of smoothing spline regression." Thesis, University of Bath, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.373383.

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26

OLIVEIRA, LUCIANO VEREDA. "COMMODITY PRICE SMOOTHING AND MACROECONOMIC STABILIZATION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2004. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=5959@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>O objetivo principal do trabalho é avaliar as vantagens e desvantagens associadas à utilização, no âmbito de uma pequena economia aberta, de um mecanismo de intervenção sobre variações dos preços relativos domésticos de insumos intermediários comerciáveis. Esse mecanismo pode ser implementado por meio de uma combinação de tributos e subsídios às importações e exportações dos insumos comerciáveis, com alíquotas variáveis ao longo do tempo. Tal intervenção assume o papel de um instrumento auxiliar de estabilização que, ao se

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27

Eigen, Gary Fredric. "Smoothing methods for discrete die forming." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/13178.

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28

Swartwout, Richard Michael Steuben. "Smoothing silver nanowires for optoelectronic applications." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/117813.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 113-118).<br>Silver nanowire meshes have shown potential for becoming a more robust, flexible alternative to traditional ceramic and brittle metal oxides. However, the current methods employed at making these films are not scal

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29

Hernandez, Denise Gomez. "Pension funding and smoothing of contributions." Thesis, City University London, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.522902.

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30

Rothwell, Hughes Neil. "Fuzzy filters for depth map smoothing." Thesis, University of South Wales, 1999. https://pure.southwales.ac.uk/en/studentthesis/fuzzy-filters-for-depth-map-smoothing(31b8862d-cbb8-46f1-8572-02fb5303050f).html.

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This thesis is concerned with the extraction of dense three-dimensional depth maps from sequences of two-dimensional greyscale images using correlation based matching. In particular the thesis is focused on the noise processes that occur in the depth map and the removal of that noise using nonlinear filters based on fuzzy systems. The depth from stereo algorithm is reviewed and a widely used correlation based matcher, the Sum Squared Difference (SSD) matcher, is introduced together with an established method of measuring sub-pixel disparities in stereo pairs of images. The noise in the dispari

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31

Clur, John-Craig. "Nonparametric smoothing in extreme value theory." Master's thesis, University of Cape Town, 2010. http://hdl.handle.net/11427/10285.

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Includes bibliographical references (leaves 137-138).<br>This work investigates the modelling of non-stationary sample extremes using a roughness penalty approach, in which smoothed natural cubic splines are fitted to the location and scale parameters of the generalized extreme value distribution and the distribution of the r largest order statistics. Estimation is performed by implementing a Fisher scoring algorithm to maximize the penalized log-likelihood function. The approach provides a flexible framework for exploring smooth trends in sample extremes, with the benefit of balancing the tra

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32

Löwendick, Martin. "On smoothing under bounds and geometric contraints." [S.l. : s.n.], 1999. http://deposit.ddb.de/cgi-bin/dokserv?idn=959981020.

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33

Storve, Sigurd. "Kalman Smoothing Techniques in Medical Image Segmentation." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for elektronikk og telekommunikasjon, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-18823.

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An existing C++ library for efficient segmentation of ultrasound recordings by means of Kalman filtering, the real-time contour tracking library (RCTL), is used as a building block to implement and assess the performance of different Kalman smoothing techniques: fixed-point, fixed-lag, and fixed-interval smoothing. An experimental smoothing technique based on fusion of tracking results and learned mean state estimates at different positions in the heart-cycle is proposed. A set of $29$ recordings with ground-truth left ventricle segmentations provided by a trained medical doctor is used for th

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34

Colomar, Simón David. "Step-wise smoothing of ZUPT-aided INS." Thesis, KTH, Signalbehandling, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-99202.

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Due to the recursive nature of most foot-mounted zero-velocityupdate-aided (ZUPT-aided) inertial navigation systems (INSs), the error covariance increases throughout each step and "collapses" at the end of the step, where the ZUPT correction is done. This gives sharp corrections and discontinuities in the estimated trajectory. For applications with tight real-time constraints, this behavior is unavoidable, since every estimate corresponds to the best estimate given all the information up until that time instant. However, for many applications, some degree of lag (non-causality) can be tolerate

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35

Lee, Chang-Kye. "Gradient smoothing in finite elasticity : near-incompressibility." Thesis, Cardiff University, 2016. http://orca.cf.ac.uk/94491/.

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This thesis presents the extension of the gradient smoothing technique for finite element approximation (so-called Smoothed Finite Element Method (S-FEM)) and its bubble-enhanced version for non-linear problems involving large deformations in nearly-incompressible and incompressible hyperelastic materials. Finite Element Method (FEM) presents numerous challenges for soft matter applications, such as incompressibility, complex geometries and mesh distortion from large deformation. S-FEM was introduced to overcome the challenges mentioned of FEM. The smoothed strains and the smoothed deformation

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36

Cullinan, M. P. "Data smoothing by adjustment of divided differences." Thesis, University of Cambridge, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.373653.

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37

Cai, Li-Dong. "Scale-based surface understanding using diffusion smoothing." Thesis, University of Edinburgh, 1991. http://hdl.handle.net/1842/6587.

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The research discussed in this thesis is concerned with surface understanding from the viewpoint of recognition-oriented, scale-related processing based on surface curvatures and diffusion smoothing. Four problems below high level visual processing are investigated: 1) 3-dimensional data smoothing using a diffusion process; 2) Behaviour of shape features across multiple scales, 3) Surface segmentation over multiple scales; and 4) Symbolic description of surface features at multiple scales. In this thesis, the noisy data smoothing problem is treated mathematically as a boundary value problem of

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38

何添賢 and Tim Yin Timothy Ho. "Forecasting with smoothing techniques for inventory control." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1994. http://hub.hku.hk/bib/B42574286.

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39

Amezziane, Mohamed. "SMOOTHING PARAMETER SELECTION IN NONPARAMETRIC FUNCTIONAL ESTIMATION." Doctoral diss., University of Central Florida, 2004. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3488.

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This study intends to build up new techniques for how to obtain completely data-driven choices of the smoothing parameter in functional estimation, within the confines of minimal assumptions. The focus of the study will be within the framework of the estimation of the distribution function, the density function and their multivariable extensions along with some of their functionals such as the location and the integrated squared derivatives.<br>Ph.D.<br>Department of Mathematics<br>Arts and Sciences<br>Mathematics

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Zerkle, Michael L. "Reactivity estimation using delayed neutron precursor smoothing." Thesis, Massachusetts Institute of Technology, 1988. http://hdl.handle.net/1721.1/14473.

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41

Jones, Thouis Raymond 1971. "Feature preserving smoothing of 3D surface scans." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/30105.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2004.<br>Includes bibliographical references (p. 63-70).<br>With the increasing use of geometry scanners to create 3D models, there is a rising need for effective denoising of data captured with these devices. This thesis presents new methods for smoothing scanned data, based on extensions of the bilateral filter to 3D. The bilateral filter is a non-linear, edge-preserving image filter; its extension to 3D leads to an efficient, feature preserving filter for a wide class of surf

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Rathje, Jason M. "Human-automation collaboration in occluded trajectory smoothing." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/59690.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2010.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 133-134).<br>Deciding if and what objects should be engaged in a Ballistic Missile Defense System (BMDS) scenario involves a number of complex issues. The system is large and the timelines may be on the order of a few minutes, which drives designers to highly automate these systems. On the other hand, the critical nature of BMD engagement decisions suggests exploring a human-in-the-loop (HIL) approach to allow for

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43

Demetriou, I. C. "Data smoothing by piecewise monotonic divided differences." Thesis, University of Cambridge, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.354670.

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Touchette, Sébastien. "Recovering Cholesky Factor in Smoothing and Mapping." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/37935.

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Autonomous vehicles, from self driving cars to small sized unmanned aircraft, is a hotly contested market experiencing significant growth. As a result, fundamental concepts of autonomous vehicle navigation, such as simultaneous localisation and mapping (SLAM) are very active fields of research garnering significant interest in the drive to improve effectiveness. Traditionally, SLAM has been performed by filtering methods but several improvements have brought smoothing and mapping (SAM) based methods to the forefront of SLAM research. Although recent works have made such methods incremental,

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Vrahimis, Andreas. "Smoothing methodology with applications to nonparametric statistics." Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/smoothing-methodology-with-applications-to-nonparametric-statistics(6d6567f2-1bfa-4e77-8dbb-71fea7564185).html.

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The work in this thesis is based on kernel smoothing techniques with applications to nonparametric statistical methods and especially kernel density estimation and nonparametric regression. We examine a bootstrap iterative method of choosing the smoothing parameter, in univariate kernel density estimation, and propose an empirical smoothness correction that generally improves the method for small-medium sample sizes tested. In a simulation study performed, the corrected bootstrap iterative method shows consistent overall performance and can compete with other popular widely used methods. The t

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Cho, Jaerin. "Optimal design in regression and spline smoothing." Thesis, Kingston, Ont. : [s.n.], 2007. http://hdl.handle.net/1974/448.

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Ho, Tim Yin Timothy. "Forecasting with smoothing techniques for inventory control." Click to view the E-thesis via HKUTO, 1994. http://sunzi.lib.hku.hk/hkuto/record/B42574286.

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48

Zheng, Qi. "Local adaptive smoothing in kernel regression estimation." Connect to this title online, 2009.

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49

Houben, Dirk. "Return Smoothing in Discrete and Continuous Time." Thesis, The University of Sydney, 2020. https://hdl.handle.net/2123/24564.

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In this thesis we propose four novel continuous-time return smoothing models. Borrowing from the private commercial real estate literature, we start with a benchmark model for return smoothing in discrete time. The benchmark model is translated into continuous time, taking us from an autoregressive moving average (ARMA) specification for the smoothed holding period return to an Ornstein-Uhlenbeck (OU) specification for the instantaneous continuously compounding rate of return on the smoothed asset price. The model is then extended to allow for the possibility of predictability in the und

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Al, Nuaimat Alia. "Hyperbolic smoothing in nonsmooth optimization and applications." Thesis, Federation University Australia, 2014. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/79184.

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Nonsmooth nonconvex optimization problems arise in many applications including economics, business and data mining. In these applications objective functions are not necessarily differentiable or convex. Many algorithms have been proposed over the past three decades to solve such problems. In spite of the significant growth in this field, the development of efficient algorithms for solving this kind of problem is still a challenging task. The subgradient method is one of the simplest methods developed for solving these problems. Its convergence was proved only for convex objective functions. T

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