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Relevant bibliographies by topics / Measures

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Academic literature on the topic 'Measures'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 June 2025

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Journal articles on the topic "Measures"

1

Hague, A. G. "Measure for measures?" Production Engineer 67, no. 9 (1988): 9. http://dx.doi.org/10.1049/tpe.1988.0211.

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Harth, M. "The measure of our measures." Rheumatology 43, no. 12 (2004): 1465–67. http://dx.doi.org/10.1093/rheumatology/keh424.

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Singh, Prashant, Jocelyn A. Silvester, and Daniel Leffler. "(Outcome) Measure for (Intervention) Measures." Gastroenterology Clinics of North America 48, no. 1 (2019): 85–99. http://dx.doi.org/10.1016/j.gtc.2018.09.006.

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Goyenko, Ruslan Y., Craig W. Holden, and Charles A. Trzcinka. "Do liquidity measures measure liquidity?☆." Journal of Financial Economics 92, no. 2 (2009): 153–81. http://dx.doi.org/10.1016/j.jfineco.2008.06.002.

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Nadkarni, M. G., and B. Rajeev. "Measure free martingales and martingale measures." Proceedings - Mathematical Sciences 119, no. 5 (2009): 655–67. http://dx.doi.org/10.1007/s12044-009-0061-9.

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Perrin, Sean, and Cynthia G. Last. "Do childhood anxiety measures measure anxiety?" Journal of Abnormal Child Psychology 20, no. 6 (1992): 567–78. http://dx.doi.org/10.1007/bf00911241.

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Berres, Manfred. "λ-additive measures on measure spaces". Fuzzy Sets and Systems 27, № 2 (1988): 159–69. http://dx.doi.org/10.1016/0165-0114(88)90146-7.

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Mörters, Peter, and David Preiss. "Tangent measure distributions of fractal measures." Mathematische Annalen 312, no. 1 (1998): 53–93. http://dx.doi.org/10.1007/s002080050212.

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Živković, Saša A., and Pushpa Narayanaswami. "Quality measures: Do they measure up?" Muscle & Nerve 57, no. 6 (2018): 869–71. http://dx.doi.org/10.1002/mus.26084.

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Filip, Larisa-Ofelia, and Simona Cucaila. "Processing of measures measured in underground polygonations." MATEC Web of Conferences 342 (2021): 02018. http://dx.doi.org/10.1051/matecconf/202134202018.

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The information, which is the concrete basis for solving geodetic and topographic problems, comes from measurement observations made on quantities that are mainly angles and distances. The quality of the observations has an important role in achieving the objectives for which they are executed, in conditions of efficiency and safety. As topographically, underground works are conducted using polygonal paths, the methods used for processing measurements are of great interest.

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Dissertations / Theses on the topic "Measures"

1

Moerters, Peter. "Tangent measure distributions and the geometry of measures." Thesis, University College London (University of London), 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307661.

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Uyanik, Kivanc. "Entanglement Measures." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609292/index.pdf.

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Being a puzzling feature of quantum mechanics, entanglement caused many debates since the infancy days of quantum theory. But it is the last two decades that it has started to be seen as a resource for physical tasks which are not possible or extremely infeasible to be done classically. Popular examples are quantum cryptography - secure communication based on laws of physics - and quantum computation - an exponential speedup for factoring large integers. On the other hand, with current technological restrictions it seems to be difficult to preserve specific entangled states and to distribute them among distant parties. Therefore a precise measurement of quantum entanglement is necessary. In this thesis, common bipartite and multipartite entanglement measures in the literature are reviewed. Mathematical definitions, proofs of satisfaction of basic axioms and significant properties for each are given as far as possible. For Tangle and Geometric Measure of Entanglement, which is a multipartite measure, results of numerical calculations for some specific states are shown.

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Olsen, Lars. "Multifractal Measures." Thesis, University of North Texas, 1994. https://digital.library.unt.edu/ark:/67531/metadc279084/.

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The purpose of this dissertation is to introduce a natural and unifying multifractal formalism which contains the above mentioned multifractal parameters, and gives interesting results for a large class of natural measures. In Part 2 we introduce the proposed multifractal formalism and study it properties. We also show that this multifractal formalism gives natural and interesting results when applied to (nonrandom) graph directed self-similar measures in Rd and "cookie-cutter" measures in R. In Part 3 we use the multifractal formalism introduced in Part 2 to give a detailed discussion of the multifractal structure of random (and hence, as a special case, non-random) graph directed self-similar measures in R^d.

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Seguin, Troy. "Risk measures." Connect to online resource, 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3303861.

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Huang, Rong 1973. "Exploration of brand equity measures : linking customer mind-set measure to product-market performance measure." Thesis, McGill University, 2008. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=115606.

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Motivation: Various brand equity measures have been proposed in extant literature. Few researches have explored the theoretical similarities, differences and relationship between different brand equity measures. In the thesis, I will explore two types of brand equity measures, namely customer mind-set measures and product-market performance measures. In particular, I will look at: 1) the correlation between the two types of measures; 2) which measure reflects the underlying brand equity construct better; 3) the impacts of marketing mix elements on the two types measures respectively; and 4) the prediction relationship between customer mind-set measure and product-market performance measure.<br>Theoretical Framework: My main theoretical framework will be brand equity literature. I draw upon the Brand Value Chain framework (Keller & Lehmann, 2(03) to explore the conceptual differences between two types of brand equity measurements, namely customer mind-set and product-market performance measurements. Furthermore, I also use Keller's (1993) Customer-Based Brand Equity concept to explore how specific marketing activities impact the brand equity theoretically.<br>Data and Methodology: This thesis measures brand equity by two methods: customer mind-set (Keller, 1993) and revenue premium (Ailawadi, Lehmann, & Neslin, 2(03). I use two types of data in the empirical analyses. Survey data, procured from a consumer-packaged product company 1, is used to measure customer mind-set brand equity. This unique data consists of proprietary equity scan surveys on 11 brands from 2004 -- 2006 in the United States. The measurement model of brand equity is rooted in Keller's customer-based brand equity concept (1993). The measurements include brand awareness, brand performance, brand image, brand judgment, brand feelings and brand resonance (Keller, 2(01). The second data is from commercial sources, including IRI and TNS, for the specific brands and time periods corresponding to the survey data and includes revenue premium, price, sales, distribution, promotion, and advertising information. Various techniques are employed for analyses including descriptive and reliability analyses, correlation analyses, multiple-regression, and cross-validation.<br>Contribution: The contribution ofthis thesis is threefold. Firstly, it sheds light on the underlying theory and relationship between two types of brand equity measurements and provides empirical test of the theory. Secondly, it provides a systematic exploration of the impact of marketing mix elements on brand equity using real market data and two different measurements. Third, it offers very practical guidance for managers on how to choose a specific brand equity measures and how to track the brand equity measures over time for their brands.<br>1Because a confidential agreement with this company, the company name, brands name as well as product category will be disguised in the thesis.

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Bausher, Christopher S. "Implementation and measures of effectiveness of travel demand management measures." Master's thesis, Virginia Tech, 1994. http://hdl.handle.net/10919/41847.

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This report is a compilation and discussion of information on the implementation of and the measures of effectiveness of transportation demand management measures. The author addresses ten different strategies to reduce the demand on the transportation system. These strategies are: high occupancy vehicle lanes, ridesharing, vanpools, bicycle and pedestrian facilities, road pricing, transportation incentives and allowances, alternative work hours, parking management, telecommuting, and transit improvements. Each topic is briefly described and then followed by implementation issues, measures of effectiveness, and case studies.<br>Master of Science

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Paul, Philip Christopher. "Microelectronic security measures." Thesis, University of Cambridge, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.611689.

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Miallaret, Sophie. "Dynamic Monitoring Measures." Thesis, Université Clermont Auvergne‎ (2017-2020), 2019. http://www.theses.fr/2019CLFAC091.

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Les mesures sont des actes quotidiens, elles nous donnent beaucoup d'informations et permettent de prendre des décisions. L'analyse des mesures peut nous permettre d'en apprendre plus sur notre environnement, mais l'erreur d'une mesure peut avoir des conséquences importantes dans certains domaines. Dans une première partie, nous proposons, grâce à l'étude de mesures d'analyses sanguines réalisées au CHU de Clermont-Ferrand, une procédure permettant de détecter les dérives des analyseurs de laboratoires de biologie médicale, se basant sur les mesures d'analyses de patients. Après une analyse descriptive des données, la méthode mise en place, utilisant des méthodes de détection de ruptures de séries temporelles, est testée pour des simulations de ruptures représentant des décalages, des imprécisions ou des dérives d'analyseurs pour différents paramètres biologiques mesurés. La méthode est adaptée pour deux scénarios : lorsque l'on connaît ou non le service hospitalier des patients. L'étude est complétée par une analyse de l'impact de l'incertitude de mesure sur les analyses des patients. Dans une seconde partie nous étudions des mesures de formes de cendres volcaniques réalisées au Laboratoire Magmas et Volcans de l'Université Clermont Auvergne, dans le but de déterminer un lien entre les lieux de collecte et les formes des particules. Après avoir montré la dépendance entre ces paramètres, nous proposons, grâce une méthode de classification, un regroupement des particules représentant différentes populations dépendantes de la distance entre les lieux de collecte et le cratère du volcan<br>The measures are daily actions, they give us a lot of information and allow us to make decisions. The analysis of measures can allow us to learn more about our environment, but the error of a measure can have important consequences in certain areas. In a first part, we propose, thanks to the study of blood test measurements carried out at the CHU of Clermont-Ferrand, a procedure for detecting deviations from medical biology laboratory analyzers based on patient analysis measurements. After a descriptive analysis of the data, the method put in place, using methods of detection of breaks of time series, is tested for simulations of breaks representing offsets, imprecision or drifts of machine for different measured biological parameters. The method is adapted for two scenarios: when the patient's hospital service is known or not. The study is supplemented by an analysis of the impact of measurement uncertainty on patient analyses. In a second part we study measurements of volcanic ash forms made at “Laboratoire Magmas et Volcans” of the Clermont Auvergne University, in order to determine a link between the collection locations and the forms of the particles. After showing the dependence between these parameters, we propose, using a classification method, a grouping of particles representing different populations depending on the distance between the collection locations and the volcano crater

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Bass, Jeremiah Joseph. "Mycielski-Regular Measures." Thesis, University of North Texas, 2011. https://digital.library.unt.edu/ark:/67531/metadc84171/.

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Let μ be a Radon probability measure on M, the d-dimensional Real Euclidean space (where d is a positive integer), and f a measurable function. Let P be the space of sequences whose coordinates are elements in M. Then, for any point x in M, define a function ƒn on M and P that looks at the first n terms of an element of P and evaluates f at the first of those n terms that minimizes the distance to x in M. The measures for which such sequences converge in measure to f for almost every sequence are called Mycielski-regular. We show that the self-similar measure generated by a finite family of contracting similitudes and which up to a constant is the Hausdorff measure in its dimension on an invariant set C is Mycielski-regular.

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Tchernychova, Maria. "Carathéodory cubature measures." Thesis, University of Oxford, 2015. https://ora.ox.ac.uk/objects/uuid:a3a10980-d35d-467b-b3c0-d10d2e491f2d.

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We introduce an efficient algorithm for computing Carathéodory cubature measures, which are defined as interpolatory cubature measures with positive weights, whose cardinality grows polynomially with dimension, as proved in [16]. We discuss two Carathéodory cubature problem formulations. Both are based on thinning the support of the Cartesian product cubature measure, whose cardinality grows exponentially with dimension, via a formulation of a suitable feasibility LP (Linear Programming) problem. A basic feasible solution to the latter fully characterises a Carathéodory cubature measure. The first problem formulation, initially presented in [48], employes the Simplex Algorithm or Interior Point Method to construct a basic feasible solution to the aforementioned LP problem. The complexity of this method is dependent on the number of nodes in the Cartesian product cubature and thus grows exponentially with dimension. The second problem formulation constitutes the main contribution of the present work. Starting from the LP problem, arising from the Cartesian product cubature construction, we employ a hierarchical cluster representation of the underlying constraint matrix and the strictly feasible solution, arising from the weights of the Cartesian product cubature. Applying the Recombination Algorithm, introduced in [96], to this hierarchical data structure, we recursively generate a sequence of smaller LP problems. We construct a basic feasible solution to each LP problem in turn, by employing a novel algorithm, based on the SVD (Singular Value Decomposition) of the constraint matrix, culminating in a basic feasible solution for the original LP problem. The complexity of this algorithm, is independent of the number of nodes in the Cartesian product cubature, and can be shown to grow polynomially rather than exponentially with dimension. Moreover, the novel SVD-based method for computing basic feasible solutions, produces a one order of magnitude speed-up of the overall algorithm, when compared to the algorithm in [96], and is therefore preferable.

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Books on the topic "Measures"

1

Christiane, Godet-Thobie, ed. Young measures and compactness in measure spaces. De Gruyter, 2012.

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Patilla, Peter. Measures. Heinemann Library, 2000.

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Erichsen, K. Human body measures: Dynamic body measures. Bundesanstalt für Arbeitsschutz, 1993.

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Alexander, Hannah. Necessary measures. Bethany House Publishers, 2002.

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Flynn, Vince. Extreme measures. Pocket Books, 2009.

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Salem, Deeb N., ed. Quality Measures. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37145-6.

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Getoor, R. K. Excessive Measures. Birkhäuser Boston, 1990. http://dx.doi.org/10.1007/978-1-4612-3470-8.

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Arndt, Christoph. Information Measures. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56669-1.

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Craven, Sara. Desperate measures. Mills & Boon, 1991.

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Craven, Sara. Desperate measures. Mills &Boon, 1992.

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Book chapters on the topic "Measures"

1

Lindenstrauss, Elon. "Recurrent Measures and Measure Rigidity." In Dynamics and Randomness II. Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-1-4020-2469-6_4.

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Berlinet, Alain, and Christine Thomas-Agnan. "Measures and Random Measures." In Reproducing Kernel Hilbert Spaces in Probability and Statistics. Springer US, 2004. http://dx.doi.org/10.1007/978-1-4419-9096-9_4.

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Pachl, Jan. "Uniform Measures as Measures." In Uniform Spaces and Measures. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5058-0_8.

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Wang, Xiaochang. "Measures." In Compact Textbooks in Mathematics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98956-3_1.

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Browder, Andrew. "Measures." In Mathematical Analysis. Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4612-0715-3_9.

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Cohn, Donald L. "Measures." In Measure Theory. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6956-8_1.

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Krantz, Steven G., and Harold R. Parks. "Measures." In The Geometry of Domains in Space. Birkhäuser Boston, 1999. http://dx.doi.org/10.1007/978-1-4612-1574-5_3.

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Stroock, Daniel W. "Measures." In Graduate Texts in Mathematics. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1135-2_2.

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Williams, Brian. "Measures." In Biostatistics. Springer US, 1993. http://dx.doi.org/10.1007/978-1-4899-6906-4_4.

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Brokate, Martin, and Götz Kersting. "Measures." In Compact Textbooks in Mathematics. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15365-0_3.

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Conference papers on the topic "Measures"

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Levy, David M. "Heroic measures." In the third ACM conference. ACM Press, 1998. http://dx.doi.org/10.1145/276675.276692.

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Koster, M. "Corrective Measures." In Third EAGE CO2 Geological Storage Workshop. EAGE Publications BV, 2012. http://dx.doi.org/10.3997/2214-4609.20143828.

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Zhang, Eugene, Vivek Jadye, Christine Escher, Peter Wonka, Yue Zhang, and Xiaofei Gao. "Horizon measures." In SA '16: SIGGRAPH Asia 2016. ACM, 2016. http://dx.doi.org/10.1145/3005358.3005390.

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Sanchez, Jose Luis Gonzalez, Ramon Gonzalez del Campo, Luis Garmendia, and Ronald R. Yager. "Comparing families of measures of k-specificity. measure of crispness." In 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2017. http://dx.doi.org/10.1109/fuzz-ieee.2017.8015517.

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Iyakaremye, Cesar, Pasi Luukka, and David Koloseni. "Feature selection using Yu's similarity measure and fuzzy entropy measures." In 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2012. http://dx.doi.org/10.1109/fuzz-ieee.2012.6250817.

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Hu, Xiaoli, Shunyang Wei, Mingjing Hou, and Jun Li. "Fuzzy measures defined by addition of fuzzy measures." In 2016 12th International Conference on Natural Computation and 13th Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). IEEE, 2016. http://dx.doi.org/10.1109/fskd.2016.7603297.

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Haque, Tania, Steven M. Scharf, Jafar Vossoughi, Arthur Johnson, Wanda Bell-Farrell, and Thomas Fitzgerald. "Resistance Measured By Airflow Perturbation Compared With Standard Pulmonary Function Measures." In American Thoracic Society 2012 International Conference, May 18-23, 2012 • San Francisco, California. American Thoracic Society, 2012. http://dx.doi.org/10.1164/ajrccm-conference.2012.185.1_meetingabstracts.a5805.

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Song, Yuan-tao, Xiao-guang Zhou, and Qiang Zhang. "New Properties and Measures of Distance Measure Between Intuitionistic Fuzzy Sets." In 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery. IEEE, 2009. http://dx.doi.org/10.1109/fskd.2009.615.

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Goller, Mathias, and Stefan Berger. "Slowly changing measures." In the sixteenth international workshop. ACM Press, 2013. http://dx.doi.org/10.1145/2513190.2513194.

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Oberholzer, Hendrik J. G., and Martin S. Olivier. "Emergency Privacy Measures." In 2009 International Conference on Computational Science and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/cse.2009.85.

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Reports on the topic "Measures"

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Farre-Mensa, Joan, and Alexander Ljungqvist. Do Measures of Financial Constraints Measure Financial Constraints? National Bureau of Economic Research, 2013. http://dx.doi.org/10.3386/w19551.

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Baker, Michael, Mark Stabile, and Catherine Deri. What do Self-Reported, Objective, Measures of Health Measure? National Bureau of Economic Research, 2001. http://dx.doi.org/10.3386/w8419.

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Adam, Stuart. Tax measures. The IFS, 2015. http://dx.doi.org/10.1920/ps.ifs.2024.0660.

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Adam, Stuart. Budget measures. The IFS, 2013. http://dx.doi.org/10.1920/ps.ifs.2024.0835.

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Elder, B. L., Linda A. Hansen, and Donald L. Harville. Examining Operational Measures of Performance: Performance Measures Matrix. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada251896.

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Qiu, Lily, and Ivo Welch. Investor Sentiment Measures. National Bureau of Economic Research, 2004. http://dx.doi.org/10.3386/w10794.

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Perez-Abreu, Victor. Product Stochastic Measures. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada162833.

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Celmins, Aivars. Possibilistic Vulnerability Measures. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada215445.

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Wang, Benjamin, William E. Gilbert, and Stephen Zilliacus. Two Visually Meaningful Correlation Measures for Comparing Calculated and Measured Response Histories. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada273143.

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Morrison, John, Bronwyn Llewellyn, and Michael Mascia. Conservation Measures Lessons Learned. The Nature Conservancy, 2009. http://dx.doi.org/10.3411/col.01301402.

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