Relevant bibliographies by topics / Analysis of deviations

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Analysis of deviations'

Author: Grafiati
Published: 28 June 2021
Last updated: 9 February 2022

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Journal articles on the topic "Analysis of deviations"

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Alonso-Gutiérrez, David, Joscha Prochno, and Christoph Thäle. "Large deviations, moderate deviations, and the KLS conjecture." Journal of Functional Analysis 280, no. 1 (January 2021): 108779. http://dx.doi.org/10.1016/j.jfa.2020.108779.

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Arous, Gérard Ben, and Fabienne Castell. "Flow Decomposition and Large Deviations." Journal of Functional Analysis 140, no. 1 (August 1996): 23–67. http://dx.doi.org/10.1006/jfan.1996.0097.

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Gamboa, Fabrice, Jan Nagel, and Alain Rouault. "Sum rules via large deviations." Journal of Functional Analysis 270, no. 2 (January 2016): 509–59. http://dx.doi.org/10.1016/j.jfa.2015.08.009.

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Shi, Zhao Yao, Jia Chun Lin, and Michael Paul Krystek. "Uncertainty Analysis of Helical Deviation Measurements." Key Engineering Materials 437 (May 2010): 212–16. http://dx.doi.org/10.4028/www.scientific.net/kem.437.212.

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The helix is a complex geometrical element. During the process of a dynamical measurement of the helical deviations, many factors, including the machine and the environment, lead to measurement errors. Although ISO as well as national standards stipulate the tolerances and assessment methods for helical deviations, these standards contribute little to the uncertainty calculations concerning such measurements. According to the Guide to the Expression of Uncertainty in Measurement (GUM), all measurement results must have a stated uncertainty associated to them. But in most cases of helical deviation measurements, no uncertainty value is given, simply because no measurement uncertainty calculation procedure exists. For the case of helical deviation measurements on a Computer Numeric Control (CNC) polar coordinate machine, this paper analyses in detail all kinds of factors contributing to the measurement uncertainty, and gives the calculation procedure of the measurement uncertainty of helical deviation. As an example, the calculation of the measurement uncertainty of the helical deviations of a worm is presented.
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SUGIMURA, Nobuhiro, and Naoki SATONAKA. "Analysis of shape generation motion deviations based on geometric deviations." Proceedings of the JSME annual meeting 2004.4 (2004): 301–2. http://dx.doi.org/10.1299/jsmemecjo.2004.4.0_301.

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Čekan, Pavol, Jozef Harangozó, Zuzana Szabová, Richard Kuracina, and Karol Balog. "Analysis Of Deviation In The Measurement Of Vibrations." Research Papers Faculty of Materials Science and Technology Slovak University of Technology 23, no. 36 (June 1, 2015): 9–15. http://dx.doi.org/10.1515/rput-2015-0001.

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Abstract In order to achieve relevant and exact value in measurement of vibrations, it is necessary to add the corresponding value of deviation to the result of measurement. As the topic of determining the deviation is too complex and the scope of article is limited, we focus on the characteristic features and mathematical description of the basic types of deviations and some partial deviations which should betaken into account in measurement.
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Aihua, Fan. "Limsup deviations on trees." Analysis in Theory and Applications 20, no. 2 (June 2004): 113–48. http://dx.doi.org/10.1007/bf02901437.

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Rockafellar, R. Tyrrell, Stan Uryasev, and Michael Zabarankin. "Generalized deviations in risk analysis." Finance and Stochastics 10, no. 1 (January 2006): 51–74. http://dx.doi.org/10.1007/s00780-005-0165-8.

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Michailidis, George, and Jan De Leeuw. "Homogeneity analysis using absolute deviations." Computational Statistics & Data Analysis 48, no. 3 (March 2005): 587–603. http://dx.doi.org/10.1016/j.csda.2004.03.007.

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Maulidya, Fitra, and Ninuk Lustyantie. "DEVIATION IN POETRY GUILLAUME APOLLINAIRE'S POETRY COLLECTION." IJLECR - INTERNATIONAL JOURNAL OF LANGUAGE EDUCATION AND CULTURE REVIEW 5, no. 2 (December 31, 2019): 173–79. http://dx.doi.org/10.21009/ijlecr.042.20.

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This research intends to describe the types of deviations contained in the collection of poems Calligrammes by Guillaume Apollinaire. The approach used is a qualitative approach with content analysis method. The data collection technique used is Miles and Huberman. The theory used as the main reference is the deviation theory according to Geoffrey N. Leech which divides the deviation into eight types, namely lexical deviation, phonological deviation, grammatical deviation which includes morphological and syntactic, graphological deviation, semantic deviation, dialectal deviation, deviation of register, and deviation of historical period. The result of data analysis from 7 poems found 5 out of 8 types of deviation which are diffused in each poem, including 24 semantic deviations, 18 graphological deviations, 4 deviations of register, 3 syntactic deviations and 2 lexical deviations. While the types of phonological deviation, morphological deviation, dialectal deviation, and deviation of historical period are not found in any of the data in this collection of poems Calligrammes.
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Dissertations / Theses on the topic "Analysis of deviations"

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Martori, Amanda Lynn. "A Wearable Motion Analysis System to Evaluate Gait Deviations." Scholar Commons, 2013. http://scholarcommons.usf.edu/etd/4724.

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A Wearable Motion Analysis System (WMAS) was developed to evaluate gait, particularly parameters that are indicative of mild traumatic brain injury. The WMAS consisted on six Opal IMUs attached on the sternum, waist, left and right thigh and left and right shank. Algorithms were developed to calculate the knee flexion angle, stride length and cadence parameters during slow, normal and fast gait speeds. The WMAS was validated for repeatability using a robotic arm and accuracy using the Vicon motion capture system, the gold standard for gait analysis. The WMAS calculated the gait parameters to within a clinically acceptable range and is a powerful tool for gait analysis and potential concussion diagnosis outside of a laboratory setting.
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De, Losier Clayton Ray. "Effects of Manufacturing Deviations on Core Compressor Blade Performance." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/31340.

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There has been recent incentive for understanding the possible deleterious effects that manufacturing deviations can have on compressor blade performance. This is of particular importance in todayâ s age, as compressor designs are pushing operating limits by employing fewer stages with higher loadings and are designed to operate at ever higher altitudes. Deviations in these advanced, as well as legacy designs, could negatively affect the performance and operation of a core compressor; thus, a numerical investigation to quantify manufacturing deviations and their effects is undertaken. Data from three radial sections of every compressor blade in a single row of a production compressor is used as the basis for this investigation. Deviations from the compressor blade design intent to the as-manufactured blades are quantified with a statistical method known as principle component analysis (PCA). MISES, an Euler solver coupled with integral boundary-layer calculations, is used to analyze the effects that the aforementioned deviations have on compressor blade performance when the inlet flow conditions produce a Mach number of approximately 0.7 and a Reynolds number of approximately 6.5e5. It was found that the majority of manufacturing deviations were within a range of plus or minus 4 percent of the design intent, and deviations at the leading edge had a critical effect on performance. Of particular interest is the fact that deviations at the leading edge not only degraded performance but significantly changed the boundary-layer behavior from that of the design case.
Master of Science
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Dungca, Jason Tomas. "Large deviations and multifractal analysis for expanding countably-branched Markov maps." Thesis, University of Bristol, 2018. http://hdl.handle.net/1983/0aed71dd-5e99-4fd7-a105-d4b5aae4d95c.

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We will use the theory of thermodynamic formalism for countable Markov shifts to pose and solve problems in multifractal analysis and large deviations. We start with an introduction outlining results in thermodynamic formalism, multifractal analysis, and large deviations in Chapter 1. We state necessary concepts and results from dynamical systems, ergodic theory, thermodynamic formalism, dimension theory, and large deviations in Chapter 2. In Chapter 3, we consider the multifractal analysis for Gibbs measures for expanding, countably branched Markov maps. We will find conditions for the multifractal spectrum to have various numbers of phase transitions. Finally, in Chapter 4, we consider an expanding, countably-branched Markov map T, the countable Markov shift, and a locally Hölder potential f. The behaviour of the dynamical system (T(lambda),(0,1]) depends on the value of lambda. We will aim to form a large deviation principle for f for a fixed lambda in (1/2,1) and we will discuss the method for forming a such a principle for a lambda in (0,1/2) in Chapter 4’s introduction.
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Leung, Vincent W. "Analysis and compensation of log-domain filter deviations due to transistor nonidealities." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0034/MQ50637.pdf.

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Hodzic, Amer, and Danny Hoang. "Detection of Deviations in Beehives Based on Sound Analysis and Machine Learning." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-105316.

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Honeybees are an essential part of our ecosystem as they take care of most of the pollination in the world. They also produce honey, which is the main reason beekeeping was introduced in the first place. As the production of honey is affected by the living conditions of the honeybees, the beekeepers aim to maintain the health of the honeybee societies. TietoEVRY, together with HSB Living Lab, introduced connected beehives in a project named BeeLab. The goal of BeeLab is to provide a service to monitor and gain knowledge about honeybees using the data collected with different sensors. Today they measure weight, temperature, air pressure, and humidity. It is known that honeybees produce different sounds when different events are occurring in the beehive. Therefore BeeLab wants to introduce sound monitoring to their service. This project aims to investigate the possibility of detecting deviations in beehives based on sound analysis and machine learning. This includes recording sound from beehives followed by preprocessing of sound data, feature extraction, and applying a machine learning algorithm on the sound data. An experiment is done using Mel-Frequency Cepstral Coefficients (MFCC) to extract sound features and applying the DBSCAN machine learning algorithm to investigate the possibilities of detecting deviations in the sound data. The experiment showed promising results as deviating sounds used in the experiment were grouped into different clusters.
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Keyser, Leonid. "Does specialization in security analysis and portfolio management explain deviations from the CAPM?" Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33666.

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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management, 2005.
Includes bibliographical references (p. 44-45).
The Capital Asset Pricing Model (CAPM), which relates the risk of an individual security to its expected return, is frequently cited in investments textbooks and the academic literature as a centerpiece of modem finance theory. The main prediction of the CAPM is that investors are compensated in the form of expected return only for bearing systematic or market risk, which is the portion of a security's risk that cannot be diversified away. That investors demand reparation for and only for systematic risk is a consequence from the pivotal assumption that all investors have identical information for the entire universe of publicly traded securities. In actuality, professional active money managers rarely invest in a portfolio broad enough to be considered the market portfolio. Instead, the asset management industry has self-organized over time according to a top-down investment process, where asset allocators provide capital to security selectors who specialize in high-yield bonds, large-cap value stocks, and the like. Any losses in diversification benefits resulting from this theoretically suboptimal two-phase investment strategy are deemed an unavoidable cost of obtaining accurate forecasts through specialization in security analysis and portfolio management.
(cont.) This research paper extends the ideas of the CAPM to formulate an equilibrium security pricing model that attempts to account for the top-down approach followed by investors in the real-world.
by Leonid Keyser.
M.B.A.
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Tsang, Tat-shing. "Statistical inference on the coefficient of variation /." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21903980.

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Ma, Jinyong. "Topics in sequence analysis." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45908.

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This thesis studies two topics in sequence analysis. In the first part, we investigate the large deviations of the shape of the random RSK Young diagrams, associated with a random word of size n whose letters are independently drawn from an alphabet of size m=m(n). When the letters are drawn uniformly and when both n and m converge together to infinity, m not growing too fast with respect to n, the large deviations of the shape of the Young diagrams are shown to be the same as that of the spectrum of the traceless GUE. Since the length of the top row of the Young diagrams is the length of the longest (weakly) increasing subsequence of the random word, the corresponding large deviations follow. When the letters are drawn with non-uniform probability, a control of both highest probabilities will ensure that the length of the top row of the diagrams satisfies a large deviation principle. In either case, both speeds and rate functions are identified. To complete our study, non-asymptotic concentration bounds for the length of the top row of the diagrams, are obtained for both models. In the second part, we investigate the order of the r-th, 1<= r < +∞, central moment of the length of the longest common subsequence of two independent random words of size n whose letters are identically distributed and independently drawn from a finite alphabet. When all but one of the letters are drawn with small probabilities, which depend on the size of the alphabet, the r-th central moment is shown to be of order n^{r/2}. In particular, when r=2, we get the order of the variance of the longest common subsequence.
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Guimond, Jean-Francois. "Do Mutual Fund Managers Have Superior Skills? An Analysis of the Portfolio Deviations from a Benchmark." Digital Archive @ GSU, 2006. http://digitalarchive.gsu.edu/finance_diss/12.

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By construction, actively managed portfolios must differ from passively managed ones. Consequently, the manager’s problem can be viewed as selecting how to deviate from a passive portfolio composition. The purpose of this study is to see if we can infer the presence of superior skills through the analysis of the portfolio deviations from a benchmark. Based on the Black-Litterman approach, we hypothesize that positive signals should lead to an increase in weight, from which should follow that the largest deviations from a benchmark weight reveal the presence of superior skills. More precisely, this study looks at the subsequent performance of the securities corresponding to the largest deviations from different external benchmarks. We use a sample of 8385 US funds from the CRSP Survivorship bias free database from June 2003 to June 2004 to test our predictions. We use two external benchmarks to calculate the deviations: the CRSP value weighted index (consistent with the Black-Litterman model) and the investment objective of each fund. Our main result shows that a portfolio of the securities with the most important positive deviations with respect to a passive benchmark (either CRSP-VW or investment objective), would have earned a subsequent positive abnormal return (on a risk-adjusted basis) for one month after the portfolio date. The magnitude of this return is around 0.6% for all the funds, and can be as high as 2.77% for small caps value funds. This result is robust to all the performance measures used in this study.
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Probst, George T. "Analysis of the Effects of Privacy Filter Use on Horizontal Deviations in Posture of VDT Operators." Thesis, Virginia Tech, 2000. http://hdl.handle.net/10919/33544.

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The visual display terminal (VDT) is an integral part of the modern office. An issue of concern associated with the use of the VDT is maintaining privacy of on-screen materials. Privacy filters are products designed to restrict the viewing angle to documents displayed on a VDT, so that the on-screen material is not visible to persons other than the VDT operator. Privacy filters restrict the viewing angle either by diffraction or diffusion of the light emitted from the VDT. Constrained posture is a human factors engineering problem that has been associated with VDT use. The purpose of this research was to evaluate whether the use of privacy filters affected: 1) the restriction of postures associated with VDT use, 2) operator performance, and 3) subjective ratings of display issues, posture, and performance. Nine participants performed three types of tasks: word processing, data entry, and Web browsing. Each task was performed under three filter conditions: no filter, diffraction filter, and diffusion filter. Participants were videotaped during the tasks using a camera mounted above the VDT workstation. The videotape was analyzed and horizontal head deviation was measured at 50 randomly selected points during each task. Horizontal head deviation was measured as the angle between an absolute reference line, which bisects the center of the VDT screen, and a reference point located at the center of the participantâ s head. Standard deviation of head deviation were evaluated across filter type and task type. Accuracy- and/or time-based measures were used to evaluate performance within each task. Participants used a seven-point scale to rate the following: readability, image quality, brightness, glare, posture restriction, performance, and discomfort. The results indicated that the interaction between task and filter type affected the standard deviation of horizontal head deviation (a measure of the average range of horizontal deviation). The standard deviation of horizontal deviation was significantly larger within the Web browsing task under the no filter and diffusion filter conditions as compared to the diffraction filter condition. Filter type affected subjective ratings of the following: readability, image quality, brightness, posture restriction, and discomfort. The diffraction filter resulted in lower readability, image quality, and brightness ratings than the diffusion and no filter conditions. Participants reported that the ability to change postures was significantly decreased by the use of the diffraction filter as compared to the no filter and diffraction filter conditions. The diffraction filter resulted in an increase in reported discomfort as compared to the no filter condition. The interaction between filter and task type affected subjective ratings of performance. Participants reported a decrease in the rating of perceived performance under the diffraction filter / Web browsing condition as compared to the no filter / word processing, diffusion filter / Web browsing, and diffusion filter / data entry conditions. A decrease in the rating of perceived performance was reported in the diffraction filter / data entry condition as compared to the no filter / word processing and diffusion filter / Web browsing conditions. Neither diffraction nor diffusion filter affected performance within any of the tasks, based on the objective performance measures used in the experiment.
Master of Science
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Books on the topic "Analysis of deviations"

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Odedokun, M. O. Analysis of deviations and delays in aid disbursements. Helsinki: United Nations University, World Institute for Development Economics Research, 2003.

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1955-, Weiss Alan, ed. Large deviations for performance analysis: Queues, communications, and computing. London: Chapman & Hall, 1995.

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1944-, Dodge Yadolah, ed. Statistical data analysis based on the L₁-norm and related methods. Boston: Birkhäuser, 2002.

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Fairbank, Ben. Equipercentile test equating: The effects of presmoothing and postsmoothing on the magnitude of sample-dependent errors. Brooks Air Force Base, Tex: Air Force Human Resources Laboratory, Air Force Systems Command, 1985.

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Lemeshko, Boris, and Pavel Blinov. Criteria for checking deviations from the exponential law. Application manual. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1097477.

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The monograph is intended for specialists who are more or less faced with the issues of statistical data analysis, processing of experimental results, and using statistical methods to analyze various aspects and trends of the surrounding reality. The guide discusses the application of statistical criteria aimed at testing the hypothesis that the analyzed sample belongs to the exponential (exponential) distribution law. The disadvantages and advantages of various criteria are indicated. Estimates of the power of the criteria and results of comparative analysis of the criteria are given, as well as tables containing percentage points and statistical distribution models necessary for applying the criteria. Following the recommendations will ensure the correctness and validity of statistical conclusions when analyzing data. It will be useful for engineers, researchers, specialists in various fields (doctors, biologists, sociologists, economists, etc.) who are faced with the need for statistical analysis of experimental results, as well as University teachers, graduate students and students.
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Budkowski, Andrzej. Symmetry analysis of some modulated structures: Study of charge density wave-like periodic deviations in NbS₃, Au₂+x, Cd₁-x, TaTe₄ and (Ta₀.₇₂Nb₀.₂₈)Te₄. Kraków: Nakł. Uniwersytetu Jagiellońskiego, 1992.

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Ayres, Ian. Super Crunchers. New York: Random House Publishing Group, 2007.

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Super crunchers: Why thinking-by-numbers is the new way to be smart. New York: Bantam Boosk, 2007.

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Massumi, Brian. A user's guide to capitalism and schizophrenia: Deviations from Deleuze and Guattari. Cambridge, Mass: MIT Press, 1992.

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Sinclair, Margaret. How to get an A in-- statistics & data analysis: Mean, median & mode, standard deviation, binomial distribution. Toronto: Coles Pub., 1998.

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Book chapters on the topic "Analysis of deviations"

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Cleophas, Ton J., and Aeilko H. Zwinderman. "Standard Deviations." In Statistical Analysis of Clinical Data on a Pocket Calculator, 3–4. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1211-9_2.

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Cleophas, Ton J., and Aeilko H. Zwinderman. "Data Spread, Standard Deviations." In Clinical Data Analysis on a Pocket Calculator, 3–6. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27104-0_1.

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Budhiraja, Amarjit, and Paul Dupuis. "Moderate Deviations for Recursive Markov Systems." In Analysis and Approximation of Rare Events, 119–49. New York, NY: Springer US, 2019. http://dx.doi.org/10.1007/978-1-4939-9579-0_5.

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Ivanilova, T. N. "Set Deviations Modelling of Forest Fire Space State." In Systems Analysis and Simulation II, 379–82. New York, NY: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-8936-1_81.

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Budhiraja, Amarjit, and Paul Dupuis. "Large and Moderate Deviations for Finite Dimensional Systems." In Analysis and Approximation of Rare Events, 261–94. New York, NY: Springer US, 2019. http://dx.doi.org/10.1007/978-1-4939-9579-0_10.

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Bryc, Wlodzimierz. "Large Deviations by the Asymptotic Value Method." In Diffusion Processes and Related Problems in Analysis, Volume I, 447–72. Boston, MA: Birkhäuser Boston, 1990. http://dx.doi.org/10.1007/978-1-4684-0564-4_25.

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Papangeloul, F. "Large deviations of the Wright-Fisher Process." In Athens Conference on Applied Probability and Time Series Analysis, 245–52. New York, NY: Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4612-0749-8_17.

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Juška, Alfonsas. "The Deviations from Classical Kinetics Determined by Multitude of Binding Sites." In Analysis of biological processes, 111–28. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-7373-7_10.

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Baldi, Paolo. "Large deviations and the functional Levy’s modulus for invariant diffusions." In Stochastic Analysis and Related Topics II, 193–203. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/bfb0083616.

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Dawson, Donald A., and Pierre Del Moral. "Large Deviations for Interacting Processes in the Strong Topology." In Statistical Modeling and Analysis for Complex Data Problems, 179–208. Boston, MA: Springer US, 2005. http://dx.doi.org/10.1007/0-387-24555-3_10.

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Conference papers on the topic "Analysis of deviations"

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Léandre, Rémi. "Large Deviations Estimates in Semi‐Group Theory." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS: International Conference on Numerical Analysis and Applied Mathematics 2008. American Institute of Physics, 2008. http://dx.doi.org/10.1063/1.2990931.

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Liang, Song. "Precise estimations related to large deviations." In Proceedings of the First Sino-German Conference on Stochastic Analysis (A Satellite Conference of ICM 2002). WORLD SCIENTIFIC, 2004. http://dx.doi.org/10.1142/9789812702241_0017.

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Sason, Igal. "Moderate deviations analysis of binary hypothesis testing." In 2012 IEEE International Symposium on Information Theory - ISIT. IEEE, 2012. http://dx.doi.org/10.1109/isit.2012.6284675.

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Braca, Paolo, Stefano Marano, Vincenzo Matta, and Ali H. Sayed. "Large deviations analysis of adaptive distributed detection." In ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2014. http://dx.doi.org/10.1109/icassp.2014.6854778.

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Ma, Mengbo, Jinsong Tang, Zhen Tian, and Heping Zhong. "Trajectory Deviations in Narrowbeam SAS: Analysis and Compensation." In 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI). IEEE, 2018. http://dx.doi.org/10.1109/cisp-bmei.2018.8633046.

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Loboda, Igor, Sergey Yepifanov, and Yakov Feldshteyn. "Diagnostic Analysis of Maintenance Data of a Gas Turbine for Driving an Electric Generator." In ASME Turbo Expo 2009: Power for Land, Sea, and Air. ASMEDC, 2009. http://dx.doi.org/10.1115/gt2009-60176.

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Monitoring algorithms analyzing measured gas path variables provide invaluable insight into gas turbine operating health. Some useful information about a gas turbine and its measurement system can be obtained from a direct analysis of raw measurements. To draw more comprehensive diagnostic information, deviations are usually calculated as discrepancies between the measured and baseline values of monitored variables. The deviations can serve as good indicators of different engine degradation mechanisms. However, there are many negative factors that tend to mask degradation effects. For a long period of time we have analyzed quality of gas path measurement data and a deviation accuracy problem of a gas turbine power plant driving a natural gas pipeline compressor. Possible error sources were examined and some methods were proposed to improve the accuracy of deviation calculations. This paper looks at maintenance data of another object, the General Electric LM2500 gas turbine used as a drive of an electric generator. The data cover prolonged periods of axial compressor fouling with washings between them, and provide valuable information for a deviation examination. In order to reduce deviation errors, the paper considers different cases of the abnormal functioning of the sensors and baseline model inadequacy and proposes measures to avoid them. As a result of these and previous efforts, the deviations have become good fouling indicators. They are capable to quantify the increase of exhaust gas temperature (EGT) and, consequently, to improve planning axial compressor washings.
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Weinberger, Nir, and Neri Merhav. "Large deviations analysis of variable-rate Slepian-Wolf coding." In 2014 IEEE International Symposium on Information Theory (ISIT). IEEE, 2014. http://dx.doi.org/10.1109/isit.2014.6874879.

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Bajovic, Dragana, Dusan Jakovetic, Joao Xavier, Bruno Sinopoli, and Jose M. F. Moura. "Distributed detection over time varying networks: Large deviations analysis." In 2010 48th Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2010. http://dx.doi.org/10.1109/allerton.2010.5706921.

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Hong, Sung-Min, Christoph Jungemann, Massimo Macucci, and Giovanni Basso. "Oscillator Noise Analysis: Full Spectrum Evaluation Including Orbital Deviations." In NOISE AND FLUCTUATIONS: 20th International Conference on Noice and Fluctuations (ICNF-2009). AIP, 2009. http://dx.doi.org/10.1063/1.3140516.

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Lindstro¨m, David E. "Robustness Analysis of Airfoil Performance." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28261.

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We demonstrate a technique to evaluate the aerodynamic robustness of a given blade profile which it is exposed to stochastic geometrical variation. The technique is based on random fields, with geometrical deviations continuously defined over the entire structure, with a prescribed statistical distribution function and a given correlation between these deviations. Control points are defined on the blade surface to model the blade geometry disturbances. At each control point a stochastic deviation is defined, which acts in the normal direction of the blade. By modeling disturbances in the normal direction instead of in the separate Cartesian directions, we automatically reduce the number of stochastic variables by a factor two. The perturbation variables are transformed via Karhunen-Loe`ve eigenvalue decomposition, giving stochastically independent variables. The robustness is finally estimated by a Monte Carlo simulation, where computational fluid dynamic simulations are performed to evaluate the resulting change in blade performance for given geometrical perturbations.
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Reports on the topic "Analysis of deviations"

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Dean, Thomas, and aul Dupuis. Splitting for Rare Event Simulation: A Large Deviations Approach to Design and Analysis. Fort Belvoir, VA: Defense Technical Information Center, January 2007. http://dx.doi.org/10.21236/ada476257.

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Clausen, Jay, Samuel Beal, Thomas Georgian, Kevin Gardner, Thomas Douglas, and Ashley Mossell. Effects of milling on the metals analysis of soil samples containing metallic residues. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41241.

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Metallic residues are distributed heterogeneously onto small-arms range soils from projectile fragmentation upon impact with a target or berm backstop. Incremental Sampling Methodology (ISM) can address the spatially heterogeneous contamination of surface soils on small-arms ranges, but representative kilogram-sized ISM subsamples are affected by the range of metallic residue particle sizes in the sample. This study compares the precision and concentrations of metals in a small-arms range soil sample processed by a puck mill, ring and puck mill, ball mill, and mortar and pestle prior to analysis. The ball mill, puck mill, and puck and ring mill produced acceptable relative standard deviations of less than 15% for the anthropogenic metals of interest (Lead (Pb), Antimony (Sb), Copper (Cu), and Zinc (Zn)), with the ball mill exhibiting the greatest precision for Pb, Cu, and Zn. Precision by mortar and pestle, without milling, was considerably higher (40% to >100%) for anthropogenic metals. Media anthropogenic metal concentrations varied by more than 40% between milling methods, with the greatest concentrations produced by the puck mill, followed by the puck and ring mill and then the ball mill. Metal concentrations were also dependent on milling time, with concentrations stabilizing for the puck mill by 300 s but still increasing for the ball mill over 20 h. Differences in metal concentrations were not directly related to the surface area of the milled sample. Overall, the tested milling methods were successful in producing reproducible data for soils containing metallic residues. However, the effects of milling type and time on concentrations require consideration in environmental investigations.
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Dupuis, Paul, Jimmie Doll, and Hui Wang. Large Deviation Methods for the Analysis and Design of Monte Carlo Schemes in Physics and Chemistry. Final Technical Report. Office of Scientific and Technical Information (OSTI), March 2014. http://dx.doi.org/10.2172/1123314.

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Kaffenberger, Michelle, Danielle Sobol, and Deborah Spindelman. The Role of Low Learning in Driving Dropout: A Longitudinal Mixed Methods Study in Four Countries. Research on Improving Systems of Education (RISE), April 2021. http://dx.doi.org/10.35489/bsg-rise-wp_2021/070.

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Using unique longitudinal quantitative and qualitative data, we examine the role that low learning plays in driving dropout in Ethiopia, India, Peru, and Vietnam. Regression analysis using IRT-linked test scores and data on schooling attainment and dropout shows a strong, significant association with one standard deviation higher test scores associated with 50 percent lower odds of dropping out between the ages of 8 and 12, and a similar association between the ages of 12 and 15. Qualitative analysis indicates a direct relationship between low learning and dropout, with children and parents choosing to discontinue school when they realize how little is being learned. Qualitative findings also show that low learning interacts with and exacerbates more proximate causes of dropout, with low learning often contributing to choices of early marriage (for girls) and of leaving school to work (for both genders), with families making practical decisions about which options will best provide for children in the long run. Finally, learning, work, and poverty often interact, as the need to work to help provide for the household reduces the opportunities to learn, and low learning tilts the opportunity cost of time in favor of working. These findings suggest that low learning may play a larger role in dropout decisions, by underlying and interacting with other causes, than has been typically recognized.
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Roschelle, Jeremy, Britte Haugan Cheng, Nicola Hodkowski, Julie Neisler, and Lina Haldar. Evaluation of an Online Tutoring Program in Elementary Mathematics. Digital Promise, April 2020. http://dx.doi.org/10.51388/20.500.12265/94.

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Many students struggle with mathematics in late elementary school, particularly on the topic of fractions. In a best evidence syntheses of research on increasing achievement in elementary school mathematics, Pelligrini et al. (2018) highlighted tutoring as a way to help students. Online tutoring is attractive because costs may be lower and logistics easier than with face-to-face tutoring. Cignition developed an approach that combines online 1:1 tutoring with a fractions game, called FogStone Isle. The game provides students with additional learning opportunities and provides tutors with information that they can use to plan tutoring sessions. A randomized controlled trial investigated the research question: Do students who participate in online tutoring and a related mathematical game learn more about fractions than students who only have access to the game? Participants were 144 students from four schools, all serving low-income students with low prior mathematics achievement. In the Treatment condition, students received 20-25 minute tutoring sessions twice per week for an average of 18 sessions and also played the FogStone Isle game. In the Control condition, students had access to the game, but did not play it often. Control students did not receive tutoring. Students were randomly assigned to condition after being matched on pre-test scores. The same diagnostic assessment was used as a pre-test and as a post-test. The planned analysis looked for differences in gain scores ( post-test minus pre-test scores) between conditions. We conducted a t-test on the aggregate gain scores, comparing conditions; the results were statistically significant (t = 4.0545, df = 132.66, p-value < .001). To determine an effect size, we treated each site as a study in a meta-analysis. Using gain scores, the effect size was g=+.66. A more sophisticated treatment of the pooled standard deviation resulted in a corrected effect size of g=.46 with a 95% confidence interval of [+.23,+.70]. Students who received online tutoring and played the related Fog Stone Isle game learned more; our research found the approach to be efficacious. The Pelligrini et al. (2018) meta-analysis of elementary math tutoring programs found g = .26 and was based largely on face-to-face tutoring studies. Thus, this study compares favorably to prior research on face-to-face mathematics tutoring with elementary students. Limitations are discussed; in particular, this is an initial study of an intervention under development. Effects could increase or decrease as development continues and the program scales. Although this study was planned long before the current pandemic, results are particularly timely now that many students are at home under shelter-in-place orders due to COVID-19. The approach taken here is feasible for students at home, with tutors supporting them from a distance. It is also feasible in many other situations where equity could be addressed directly by supporting students via online tutors.
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