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Relevant bibliographies by topics / Quantitative

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Academic literature on the topic 'Quantitative'

Author: Grafiati

Published: 4 June 2021

Last updated: 29 July 2024

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Journal articles on the topic "Quantitative"

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Materna-Morris, E., N. Lakota, T. Merkel, U. Mücke, St Scherer, and M. Walter. "Methodenvergleich zur quantitativen Fraktographie/ Comparison of Quantitative Fractography Methods." Practical Metallography 40, no. 6 (June 1, 2003): 273–86. http://dx.doi.org/10.1515/pm-2003-400604.

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Gröbmeyer, A. "Reconstruction of quantitative nutrition by trace element data." Anthropologischer Anzeiger 55, no. 2 (June 1, 1997): 179–82. http://dx.doi.org/10.1127/anthranz/55/1997/179.

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Siegel, J. A., L. S. Zeiger, S. E. Order, R. Principato, and P. E. Wallner. "QUANTITATIVE BREMSSTRAHLUNG IMAGING FOR ACTIVITY QUANTITATION AND ABSORBED DOSEESTIMATION." Journal of Immunotherapy 16, no. 2 (August 1994): 155. http://dx.doi.org/10.1097/00002371-199408000-00036.

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Bordeerat, Narisa K., Nadia I. Georgieva, David G. Klapper, Leonard B. Collins, Tyra J. Cross, Christoph H. Borchers, James A. Swenberg, and Gunnar Boysen. "Accurate quantitation of standard peptides used for quantitative proteomics." PROTEOMICS 9, no. 15 (August 2009): 3939–44. http://dx.doi.org/10.1002/pmic.200900043.

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Armstrong, N. Scott, and Charles K. Smart. "Quantitative." Annales scientifiques de l'École normale supérieure 49, no. 2 (2016): 423–81. http://dx.doi.org/10.24033/asens.2287.

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Poon, Jessie P. H. "Quantitative methods: producing quantitative methods narratives." Progress in Human Geography 27, no. 6 (December 2003): 753–62. http://dx.doi.org/10.1191/0309132503ph461pr.

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Ayral, Xavier. "Diagnostic and quantitative arthroscopy: quantitative arthroscopy." Baillière's Clinical Rheumatology 10, no. 3 (August 1996): 477–94. http://dx.doi.org/10.1016/s0950-3579(96)80045-8.

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Chen, Ruina, and Haitao Liu. "Quantitative Aspects ofJournal of Quantitative Linguistics." Journal of Quantitative Linguistics 21, no. 4 (August 5, 2014): 299–340. http://dx.doi.org/10.1080/09296174.2014.944327.

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Wiedicke, Annemarie. "Ethical challenges in contemporary quantitative content analysis." Studies in Communication and Media 12, no. 4 (2023): 354–76. http://dx.doi.org/10.5771/2192-4007-2023-4-354.

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Validität und der Forschungsethik sind eng miteinander verknüpft, auch in der inhaltsanalytischen Forschung. Dennoch wurde die quantitative Inhaltsanalyse in früheren forschungsethischen Debatten innerhalb der Kommunikationswissenschaft zu- meist ausgeblendet. Inzwischen wird jedoch zunehmend über die verschiedenen ethischen Herausforderungen, welche sich aus der Durchführung quantitativer Inhaltsanalysen im di- gitalen Zeitalter ergeben, diskutiert. Vor diesem Hintergrund liefert der vorliegende Beitrag, ausgehend von den vier Grundsätzen ethischer Forschung (Respekts vor der Selbstbestim- mung, Wohltun, Schadensvermeidung und Gerechtigkeit) und unter Berücksichtigung der verschiedenen Schritte im Forschungsprozess, einen systematischen Überblick über beste- hende Herausforderungen und mögliche methodisch-ethische Dilemmata moderner quanti- tativer Inhaltsanalysen. Wo möglich, werden entsprechende Lösungsvorschläge vorgestellt. Auf diese Weise knüpft der vorliegende Beitrag sowohl an die wachsende Forschungslitera- tur zur Ethik in der quantitativen Kommunikationsforschung als auch an den aktuellen Diskurs zur methodologischen Qualität moderner quantitativer Inhaltsanalysen an.

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Kas, Martien J., Alessandro Serretti, and Hugh Marston. "Quantitative neurosymptomatics: Linking quantitative biology to neuropsychiatry." Neuroscience & Biobehavioral Reviews 97 (February 2019): 1–2. http://dx.doi.org/10.1016/j.neubiorev.2018.11.013.

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Dissertations / Theses on the topic "Quantitative"

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Wengert, Christian. "Quantitative endoscopy /." Konstanz : Hartung-Gorre Verlag, 2008. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=17686.

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Faustino, Rui Alexandre Rodrigues Veloso. "Quantitative easing." Master's thesis, NSBE - UNL, 2012. http://hdl.handle.net/10362/9552.

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economics
Since November 2008, the Federal Reserve of the United States pursued a series of large-scale asset purchases, known as Quantitative Easing. In this Work Project, I describe the context, the objectives and the implementation of the Quantitative Easing. Additionally, I discuss its expected effects. Finally, I present empirical evidence of the effects on interest rates, output and inflation. I conclude that the first round of purchases was effective on preventing deflation and depression while the second had a small impact on economy.

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Cleary, Maryanne Viola. "Quantitative HPTLC." Thesis, This resource online, 1995. http://scholar.lib.vt.edu/theses/available/etd-07112009-040558/.

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Luu, Philippe. "La subjectivité dans les méthodes quantitatives. Une étude des pratiques en Sciences de Gestion." Thesis, Université Côte d'Azur (ComUE), 2019. http://www.theses.fr/2019AZUR0028.

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En sciences de gestion, les méthodes quantitatives véhiculent deux idées reçues. Tout d’abord, elles désignent de manière quasi exclusive les méthodes statistiques causales. L’utilisation de ces dernières est ensuite perçue comme un indiscutable garant d’objectivité. Notre travail cherche à nuancer ces deux points et plus particulièrement la question de l’objectivité. Les méthodes quantitatives s’inscrivent en général dans le paradigme post-positiviste, où tendre vers l’objectivité consiste à contrôler au mieux les conditions dans lesquelles la recherche est réalisée. L’objectivité scientifique présente une double dimension : une dimension individuelle propre au chercheur et une dimension collective basée sur le regard de la communauté. L’objectif de notre recherche est de montrer comment la subjectivité intervient dans chacune des étapes d’un design de recherche quantitatif. Notre méthodologie s’appuie sur une étude de cas exploratoire réalisée dans un laboratoire en sciences de gestion et l’observation participante d’un ingénieur statisticien sur une période de 10 ans. Les unités d’étude considérées sont 24 papiers co-écrits par l’observateur participant durant cette période. Nos résultats indiquent, d’une part, que la définition des méthodes quantitatives peut potentiellement être élargie : les simulations informatiques ou les procédures d’optimisation numérique peuvent par exemple être incluses, sans qu’il s’agisse de techniques causales ou même statistiques. D’autre part, nos résultats illustrent l’omniprésence de la subjectivité dans de nombreuses techniques quantitatives, y compris statistiques. Lors du traitement de données, des options multiples se présentent au chercheur à chacune des étapes suivantes : au niveau de l’opérationnalisation des concepts, lors de la collecte des données, durant la préparation de l’échantillon et tout au long du paramétrage de l’analyse. La présence de nombreux arbitrages implique une grande variabilité dans les résultats d’une étude. L’intérêt de notre travail est d’augmenter l’espoir d’atteindre une objectivité maximale et collective en présentant les points que le chercheur doit documenter avec soin. Notre incitation à la transparence rejoint les recommandations mentionnées par la littérature pour répondre à la crise de la reproductibilité des travaux scientifiques qui touche à l’heure actuelle toutes les disciplines
In management sciences, quantitative methods convey two preconceived ideas. First, they refer almost exclusively to causal statistical methods. The use of the latter is perceived as an indisputable guarantee of objectivity. Our work aims to bring nuance to these two points and more particularly to the perceived objectivity. Quantitative methods are generally part of the post-positivist paradigm, where objectivity means to control the conditions under which research is conducted. Scientific objectivity has an individual dimension specific to the researcher and a collective dimension based on the community's perspective. The objective of our research is to show how subjectivity intervenes in each step of a quantitative research design. Our methodology is based on an exploratory case study conducted in a management science laboratory and the participant observation of a statistical engineer over a 10-year period. Our results illustrate the omnipresence of subjectivity in many quantitative techniques, including statistics. When processing data, the researcher faces multiple options during each of the following steps: operationalization of concepts, data collection, sample preparation and throughout the analysis setup. The presence of numerous trade-offs multiplies the possible outcomes of a study. Our work may help to increase the hope of achieving maximum and collective objectivity by highlighting the steps that the researcher must carefully document. Our encouragement of transparency is one of the recommendations mentioned by the literature in response to the reproducibility crisis, which currently affects all disciplines

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Youle, Ian. "Quantitative tritium imaging." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0015/NQ45641.pdf.

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Elder, A. D. "Quantitative fluorescence microscopy." Thesis, University of Cambridge, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.598801.

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The work presented here improves the level of quantification achievable with fluorescence microscopy by integrating novel technologies and developing new experimental and theoretical methodologies. Initial work focused on the use of fluorescence microscopy for the quantification of molecular interactions in living cells. This resulted in the development of an analysis routine for the quantification of Förster resonance energy transfer (FRET) by intensity-based sensitised acceptor emission measurements. The developed technique enabled quantification of the strength of interaction as well as the relative stoichiometry of free and bound fluorophores. The work culminated in the dynamic measurement of the cyclin – cyclin dependent kinase interaction through the course of the cell cycle. To improve the flexibility of microscopy techniques, a confocal microscopy system was designed and built which used novel fibre-based supercontinuum illumination technique and a prism-based spectrometer to provide wavelength resolved measurements. The multiparametric imaging approach which this system enabled was shown to aid in the quantification of complex systems. The remainder of this thesis considers the development of new frequency-domain fluorescence lifetime imaging microscopy (FD-FLIM) techniques. The advantages of lifetime imaging techniques were illustrated through their application to quantitative chemical analysis in microfluidic devices. Novel illumination technology was integrated into FD-FLIM systems; both in the form of inexpensive light emitting diodes and fibre-based supercontinuum technology. An in-depth theoretical analysis permitted the development of systems with much improved photon economy. Using extensions of the AB analysis technique, multicomponent lifetime data could be accurately quantified. finally, a new experimental technique was implemented, termed ø²FLIM, which enabled the rapid acquisition of alias-free fluorescence lifetime data.

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梁永雄 and Wing-hung Leung. "Quantitative coronary arteriography." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1991. http://hub.hku.hk/bib/B31981483.

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Waszkiewicz, Pawel. "Quantitative continuous domains." Thesis, University of Birmingham, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.269779.

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Schlachter, Simon Christopher. "Quantitative multidimensional microscopy." Thesis, University of Cambridge, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.609221.

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Martins, Carlos Jose Amaro Parente. "Quantitative string evolution." Thesis, University of Cambridge, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.627371.

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Books on the topic "Quantitative"

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Guo, Xin, Tze Leung Lai, Howard Shek, and Samuel Po-Shing Wong. Quantitative Trading. Boca Raton, FL : CRC Press, [2017]: Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/9781315371580.

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Reghai, Adil. Quantitative Finance. London: Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/9781137414502.

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Chan, Ernest P. Quantitative Trading. New York: John Wiley & Sons, Ltd., 2009.

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Bald, W. B. Quantitative cryofixation. Bristol: Hilger, 1987.

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Wiberg, Marie, Dylan Molenaar, Jorge González, Ulf Böckenholt, and Jee-Seon Kim, eds. Quantitative Psychology. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74772-5.

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Kimura, Akatsuki. Quantitative Biology. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-5018-5.

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Xu, Shizhong. Quantitative Genetics. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-83940-6.

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Chen, Xinguang. Quantitative Epidemiology. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-83852-2.

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Tranquillo, Joseph V. Quantitative Neurophysiology. Cham: Springer International Publishing, 2009. http://dx.doi.org/10.1007/978-3-031-01628-8.

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Tausendpfund, Markus. Quantitative Datenanalyse. Wiesbaden: Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-37282-8.

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Book chapters on the topic "Quantitative"

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Guénet, Jean-Louis, Fernando Benavides, Jean-Jacques Panthier, and Xavier Montagutelli. "Quantitative Traits and Quantitative Genetics." In Genetics of the Mouse, 361–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44287-6_10.

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Schöch, Christof. "Quantitative Analyse." In Digital Humanities, 279–98. Stuttgart: J.B. Metzler, 2017. http://dx.doi.org/10.1007/978-3-476-05446-3_20.

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Meyerson, Émile. "The Quantitative." In The Relativistic Deduction, 8–17. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5211-9_2.

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Büsch, Mario. "Quantitative Einkaufsanalyse." In Fahrplan zur Transformation des Einkaufs, 45–54. Wiesbaden: Springer Fachmedien Wiesbaden, 2019. http://dx.doi.org/10.1007/978-3-658-25637-1_3.

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Echterhoff, Gerald. "Quantitative Erhebungsmethoden." In Springer-Lehrbuch, 55–114. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-34362-9_2.

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Hussy, Walter. "Quantitative Forschungsmethoden." In Springer-Lehrbuch, 115–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-34362-9_3.

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Echterhoff, Gerald. "Quantitative Auswertungsmethoden." In Springer-Lehrbuch, 165–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-34362-9_4.

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Werners, Brigitte. "Quantitative Entscheidungsunterstützung." In Springer-Lehrbuch, 1–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40102-2_1.

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Flood, Robert L., and Ewart R. Carson. "Quantitative Cybernetics." In Dealing with Complexity, 225–33. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4757-2235-2_9.

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Paquette, Andrew. "Quantitative Findings." In Spatial Visualization and Professional Competence, 81–96. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91289-9_4.

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Conference papers on the topic "Quantitative"

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Mnif, M., and C. Muller-Schloer. "Quantitative Emergence." In 2006 IEEE Mountain Workshop on Adaptive and Learning Systems. IEEE, 2006. http://dx.doi.org/10.1109/smcals.2006.250695.

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Ruhe, Günther, Armin Eberlein, and Dietmar Pfahl. "Quantitative WinWin." In the 14th international conference. New York, New York, USA: ACM Press, 2002. http://dx.doi.org/10.1145/568760.568789.

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Kwiatkowska, Marta. "Quantitative verification." In The 6th Joint Meeting. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1295014.1295018.

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Kwiatkowska, Marta. "Quantitative verification." In the the 6th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1287624.1287688.

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Bohnenkamp, Henrik, and Mariëlle Stoelinga. "Quantitative testing." In the 7th ACM international conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1450058.1450089.

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Stoughton, Chris. "Extreme Quantitative Science." In Extreme Quantitative Science. US DOE, 2023. http://dx.doi.org/10.2172/1997498.

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Hsieh, Jiang, Yasuhiro Imai, and Priti Madhav. "Quantitative Imaging with Dual-energy CT." In Quantitative Medical Imaging. Washington, D.C.: OSA, 2013. http://dx.doi.org/10.1364/qmi.2013.qtu1g.1.

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Lee, Ting-Yim. "Quantitative Functional Imaging using CT Perfusion: Applications of the Johnson-Wilson model." In Quantitative Medical Imaging. Washington, D.C.: OSA, 2013. http://dx.doi.org/10.1364/qmi.2013.qtu1g.2.

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Reeves, Anthony P. "A Development Methodology for Automated Measurement of Quantitative Image Biomarkers: Analysis of Chest CT Images." In Quantitative Medical Imaging. Washington, D.C.: OSA, 2013. http://dx.doi.org/10.1364/qmi.2013.qtu1g.3.

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Mendonça, Paulo R. S., and Peter Lamb. "Beyond “Dual”: Multi-Material Decomposition of Spectral CT Images." In Quantitative Medical Imaging. Washington, D.C.: OSA, 2013. http://dx.doi.org/10.1364/qmi.2013.qtu1g.4.

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Reports on the topic "Quantitative"

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Redding, Stephen, and Esteban Rossi-Hansberg. Quantitative Spatial Economics. Cambridge, MA: National Bureau of Economic Research, September 2016. http://dx.doi.org/10.3386/w22655.

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Spence, John. Quantitative Electron Nanodiffraction. Office of Scientific and Technical Information (OSTI), January 2015. http://dx.doi.org/10.2172/1168970.

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Devine, G., D. Dobie, J. Fugina, J. Hernandez, C. Logan, P. Mohr, R. Moss, B. Schumacher, E. Updike, and D. Weirup. Quantitative film radiography. Office of Scientific and Technical Information (OSTI), February 1991. http://dx.doi.org/10.2172/6106663.

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Helms, J. Quantitative Risk Analysis. Office of Scientific and Technical Information (OSTI), February 2017. http://dx.doi.org/10.2172/1345342.

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Muna, Alice Baca, Brian David Ehrhart, Ethan Hecht, Gabriela A. Bran Anleu, Myra L. Blaylock, and Chris Bensdotter LaFleur. Hydrogen Quantitative Risk Assessment. Office of Scientific and Technical Information (OSTI), October 2018. http://dx.doi.org/10.2172/1481561.

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Nilchiani, Roshanak, Stan Rifkin, Ali Mostashari, Walt Bryzik, and Gary Witus. Quantitative Risk - Phase 1. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada605851.

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Nilchiani, Roshanak, Stan Rifkin, Ali Mostashari, Walt Bryzik, and Gary Witus. Quantitative Risk - Phase 1. Fort Belvoir, VA: Defense Technical Information Center, May 2013. http://dx.doi.org/10.21236/ada605887.

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Morton, Sally C., M. Hassan Murad, Elizabeth O'Connor, Christopher S. Lee, Marika Booth, Benjamin W. Vandermeer, Jonathan M. Snowden, et al. Quantitative Synthesis--An Update. Agency for Healthcare Research and Quality (AHRQ), February 2018. http://dx.doi.org/10.23970/ahrqepcmethguide3.

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Lee, Donggyu. Quantitative Easing and Inequality. Federal Reserve Bank of New York, July 2024. http://dx.doi.org/10.59576/sr.1108.

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This paper studies how quantitative easing (QE) affects household welfare across the wealth distribution. I build a Heterogeneous Agent New Keynesian (HANK) model with household portfolio choice, wage and price rigidities, endogenous unemployment, frictional financial intermediation, an effective lower bound (ELB) on the policy rate, forward guidance, and QE. To quantify the contribution of the various channels through which monetary policy affects inequality, I estimate the model using Bayesian methods, explicitly taking into account the occasionally binding ELB constraint and the QE operations undertaken by the Federal Reserve during the 2009-15 period. I find that the QE program unambiguously benefited all households by stimulating economic activity. However, it had nonlinear distributional effects. On the one hand, it widened the income and consumption gap between the top 10 percent and the rest of the wealth distribution by boosting profits and equity prices. On the other hand, QE shrank inequality within the lower 90 percent of the wealth distribution, primarily by lowering unemployment. On net, it reduced overall wealth and income inequality, as measured by the Gini index. Surprisingly, QE has weaker distributional consequences compared with conventional monetary policy. Lastly, forward guidance and an extended period of zero policy rates amplified both the aggregate and the distributional effects of QE.

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Ossa, Ralph. Quantitative Models of Commercial Policy. Cambridge, MA: National Bureau of Economic Research, March 2016. http://dx.doi.org/10.3386/w22062.

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