Academic literature on the topic 'Empirical analysis'

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Journal articles on the topic "Empirical analysis"

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Prosser, Alexander. "Empirical Analysis." Central and Eastern European eDem and eGov Days 342 (March 17, 2022): 177–88. http://dx.doi.org/10.24989/ocg.v.342.6.

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Madan Lal, Madan Lal. "Consumer Food Purchase Intentions: An Empirical Analysis." Indian Journal of Applied Research 3, no. 5 (October 1, 2011): 392–93. http://dx.doi.org/10.15373/2249555x/may2013/118.

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TAMURA, Suguru. "A first empirical analysis of JIS lifespan." Synthesiology 9, no. 4 (2016): 198–215. http://dx.doi.org/10.5571/synth.9.4_198.

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TAMURA, Suguru. "A first empirical analysis of JIS lifespan." Synthesiology English edition 9, no. 4 (2016): 197–212. http://dx.doi.org/10.5571/syntheng.9.4_197.

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Singh, Monalisa, and Dilfraz Singh. "An Empirical Analysis of India’s Merchandise Trade." Paripex - Indian Journal Of Research 3, no. 8 (January 15, 2012): 71–74. http://dx.doi.org/10.15373/22501991/august2014/22.

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Raiyani, Dr Jagdish R., and Dr Gaurav Lodha. "Evolution of Non-Performing Assets: An Empirical Analysis." Indian Journal of Applied Research 1, no. 3 (October 1, 2011): 1–2. http://dx.doi.org/10.15373/2249555x/dec2011/1.

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Kustova, A., and I. Rozmainsky. "Empirical Analysis of Generalized Trust in Modern Russia." Economic Herald of the Donbas, no. 4 (62) (2020): 9–22. http://dx.doi.org/10.12958/1817-3772-2020-4(62)-9-22.

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Today the concept of trust plays an important role in economics, but there is a lack of both works devoted to the determinants of generalized trust in modern Russia and relationships between the crises and trust. The Russian economy has suffered several significant recessions in recent years, the most serious of which were crises of 2008 and 2014. It would be interesting to check whether there was a trust change after these events in Russia. The current study has two purposes: the first one is to identify determinants of trust in modern Russia, the second one is to check whether the economic crises of 2008-2009 and 2014-2015 affected the level of generalized trust with the assumption that only population of working age was affected. The study is based on the RLMS-HSE survey. For the purposes of this paper the random-effects ordered logistic models and difference-in-difference ordered logistic models are used. We conclude that the most important determinants of trust are political confidence, age, living in a countryside, higher education; the 2008 crisis did not make influence on trust, where as the 2014 crisis affected on the trust in a positive direction due to the “propaganda effect”.
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Bi, Liekai, and Hae Jo Chung. "An Empirical Analysis on China’s Energy sector Investments." Journal of Global and Area Studies(JGA) 5, no. 1 (June 30, 2021): 129–47. http://dx.doi.org/10.31720/jga.5.1.7.

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Ahmed Mareai Senan, Nabil, Anwar Ahmad, Suhaib Anagreh, Mosab I. Tabash, and Eissa A. Al-Homaidi. "An empirical analysis of financial leverage and financial performance: Empirical evidence from Indian listed firms." Investment Management and Financial Innovations 18, no. 2 (June 24, 2021): 322–34. http://dx.doi.org/10.21511/imfi.18(2).2021.26.

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The purpose of this paper is to examine the determinants of financial performance, firm liquidity and financial leverage of Indian listed firms. This study uses both static models (pooled, fixed, and random effects) and Generalized Moment Methods (GMM). Financial leverage (FINLE) is defined by the ratio of total liabilities to total assets, whereas the current ratio and the quick ratio are used as firm liquidity factors. Further, a set of financial performance determinants such as return on assets, profit after tax, return on capital employed, return on equity, and Tobin-Q are used as independent factors. The results indicated that profit after tax, return on equity, return on capital employed, and Tobin-Q are the most significant financial success variables that influence financial leverage of Indian listed companies. Furthermore, profit after tax, return on capital invested, return on equity, and Tobin-Q are considered to have a substantial effect on financial leverage among the financial success indicators. In the case of firm liquidity, the findings show that the current ratio and the quick ratio have a substantial effect on the financial leverage of Indian listed companies.
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Prakash, Amit, Subrata K. Mitra, and V. B. Singh. "Analysis of Empirical Data." Social Scientist 28, no. 9/10 (September 2000): 87. http://dx.doi.org/10.2307/3517977.

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Dissertations / Theses on the topic "Empirical analysis"

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Bendandi, Andrea <1988&gt. "Brainstorming: an empirical analysis." Master's Degree Thesis, Università Ca' Foscari Venezia, 2016. http://hdl.handle.net/10579/8660.

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Al giorno d’oggi l’abilità di saper lavorare in gruppo è un must-have tra le sof skills nel curriculum di chiunque, quante volte prima di iniziare un lavoro di gruppo abbiamo sentito la frase: “Ok ragazzi, cominciamo con un brainstorming”? È probabile sentire questo genere di frase in diverse situazioni: all’università prima di cominciare un lavoro di gruppo, ad un meeting di lavoro, discutendo con gli amici per scegliere la destinazione delle vacanze e via discorrendo. Molte importanti società sono diventate famose per i loro uso del brainstorming, l’esempio più famoso è Google, dove condividere idee è un leitmotiv, ci sono anche altre importanti aziende come IBM e il suo brainstorming elettronico oppure IDEO, la compagnia che sviluppò il design del primo Apple mouse, ma non dobbiamo andare così lontano per trovare qualcuno che usa il brainstorming, H-FARM a Treviso è diventata famosa per il suo utilizzo massivo di attività di gruppo. Facciamo brainstorming perché crediamo che condividendo le idee e discutendole con altre persone si possa innescare la produttività, alzando alle stelle il numero di idee prodotte. Quest’ultimo è un pregiudizio comune che viene solitamente definito illusion of group productivity, crediamo che la performance di gruppo sia superiore di quella individuale, inoltre percepiamo la nostra personale performance in maniera più efficiente quando lavoriamo in gruppo perché non siamo in grado di distinguere le nostre idee da quelle degli altri (Paulus, Dzindolet, Poletes, & Camacho, 1993). L’idea del brainstorming fu sviluppata alla fine degli anni ’50, da allora molti ricercatori hanno speso il loro tempo cercando di studiare se la comune assunzione dell’efficienza dei gruppi sia vera e se il brainstorming porta effettivamente ad un output superiore in termini di qualità e quantità. Ci sono diverse prove le quali supportano l’idea che condividere idee non sia sempre così efficiente come crediamo, il risultato del group thinking è strettamente legato al modo in cui creiamo i gruppi e quali regole poniamo. Dopo un’introduzione sul brainstorming, discuteremo il concetto supportando le nostre idee con dati empirici i quali derivano da due esperimenti condotti presso l’università Ca’ Foscari di Venezia. Presenteremo dati in parte coerenti con la letteratura e scopriremo che non si può prendere sempre per scontata l’efficienza dei gruppi.
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Hamill, Margaret L. "Empirical analysis of software reliability." Morgantown, W. Va. : [West Virginia University Libraries], 2006. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=4562.

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Thesis (M.S.)--West Virginia University, 2006.
Title from document title page. Document formatted into pages; contains vi, 62 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 58-60).
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Sharma, Deven. "Manufacturing strategy : an empirical analysis." Connect to resource, 1987. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=osu1262881437.

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Menini, Davide L. G. "An empirical analysis of specialness." Thesis, London Business School (University of London), 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.392187.

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Chovítek, Šimon. "Ekonomie terorismu: Empirická analýza chování teroristických skupin." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-199729.

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The aim of this thesis is to empirically analyze the behavior of terrorist groups. In this work we tested the assumption of the model of rational choice in terms of terrorism. The empirical section combines theoretical predictions with observed facts and shows the terrorists as rational actors acting under uncertainty. The data used in the analysis orginate from databases GTD and RDWTI. Mean-variance analysis of portfolios of real attack of terrorist organizations suggests their ability to effectively optimize their activity and to reduce the risks to which they are exposed. Terrorists thus appears as rational agents able to react quickly to external influences. This largely affects the resulting impact of counter-terrorism measures taken when selectively targeted measures may lead to a mere transfer of terrorist activity to another destination.
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Gupta, Ashish. "Empirical analysis of wireless sensor networks." Phd thesis, Institut National des Télécommunications, 2010. http://tel.archives-ouvertes.fr/tel-00589606.

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Wireless sensor networks are the collection of wireless nodes that are deployed to monitor certain phenomena of interest. Once the node takes measurements it transmits to a base station over a wireless channel. The base station collects data from all the nodes and do further analysis. To save energy, it is often useful to build clusters, and the head of each cluster communicates with the base station. Initially, we do the simulation analysis of the Zigbee networks where few nodes are more powerful than the other nodes. The results show that in the mobile heterogeneous sensor networks, due to phenomenon orphaning and high cost of route discovery and maintenance, the performance of the network degrades with respect to the homogeneous network. The core of this thesis is to empirically analyze the sensor network. Due to its resource constraints, low power wireless sensor networks face several technical challenges. Many protocols work well on simulators but do not act as we expect in the actual deployments. For example, sensors physically placed at the top of the heap experience Free Space propagation model, while the sensors which are at the bottom of the heap have sharp fading channel characteristics. In this thesis, we show that impact of asymmetric links in the wireless sensor network topology and that link quality between sensors varies consistently. We propose two ways to improve the performance of Link Quality Indicator (LQI) based algorithms in the real asymmetric link sensor networks. In the first way, network has no choice but to have some sensors which can transmit over the larger distance and become cluster heads. The number of cluster heads can be given by Matérn Hard-Core process. In the second solution, we propose HybridLQI which improves the performance of LQI based algorithm without adding any overhead on the network. Later, we apply theoretical clustering approaches in sensor network to real world. We deploy Matérn Hard Core Process and Max-Min cluster Formation heuristic on real Tmote nodes in sparse as well as highly dense networks. Empirical results show clustering process based on Matérn Hard Core Process outperforms Max-Min Cluster formation in terms of the memory requirement, ease of implementation and number of messages needed for clustering. Finally, using Absorbing Markov chain and measurements we study the performance of load balancing techniques in real sensor networks.
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Rossi, Claudio Alexander. "Empirical Analysis of Implied Equity Correlation." St. Gallen, 2009. http://www.biblio.unisg.ch/org/biblio/edoc.nsf/wwwDisplayIdentifier/01653419003/$FILE/01653419003.pdf.

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Li, Ya. "An empirical analysis of factor seasonalities." HKBU Institutional Repository, 2017. https://repository.hkbu.edu.hk/etd_oa/421.

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I establish the existence of seasonality in 42 popular risk factors in the asset pricing literature. I document extensive empirical evidence for the Keloharju et al. (2016) hypothesis that seasonalities in individual asset returns stem from their exposures to risk factors. It is the seasonal patterns in risk factors that lead to the seasonalities in individual asset portfolios. The empirical findings show that seasonalities are widely present among individual asset portfolios. However, both the all-factor model and the Fama-French (2014) five-factor model demonstrate that these patterns greatly disappear after I eliminate their exposures to the corresponding risk factors. Overall, 76.17% of the returns on 235 test equal-weighted portfolios I examine contain seasonality. My key finding is that 48.68% of equal-weighted portfolio returns with seasonalities no longer contain seasonality after I control for their exposures to all risk factors. Only 52.08% of the equal-weighted portfolio Fama-French five-factor model residual obtain substantial seasonal patterns in the Wald test. Regarding to seasonalities in risk factors, specific seasonal patterns include the January effect, higher returns during February, March, and July, and autocorrelations at irregular lags. The Wald test, a stable seasonality test, the Kruskal-Wallis chi-square test, a combined seasonality test, Fisher's Kappa test, and Bartlett's Kolmogorov-Smirnov test are used to identify the seasonal patterns in individual risk factors. Fama-French SMB (the size factor) and HML (the value factor) in the three-factor model, Fama-French RMW (the operating profitability factor) in the five-factor model, earnings/price, cash flow/price, momentum, short-term reversal, long-term reversal, daily variance, daily residual variance, growth rate of industrial production (value-weighted), term premium (equal-weighted and value-weighted), and profitability display robust seasonalities. Therefore, the first part of the research confirms that risk factors possess substantial seasonal patterns.
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Kao, Tzu-Hui. "University student satisfaction: an empirical analysis." Lincoln University, 2007. http://hdl.handle.net/10182/1833.

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New Zealand's tertiary education sector has experienced political reform, social changes, economic changes and globalisation in the last two decades, and the sector has become more internationally competitive. DeShields, Kara, and Kaynak (2005) recommended that management of higher education should apply a market-oriented approach to sustain a competitive advantage. Therefore, understanding and managing students' satisfaction and their perceptions of service quality is important for university management if they are to design and implement a market-oriented approach. The purpose of this research is to gain an empirical understanding of students' overall satisfaction in a university in New Zealand's higher education sector. A hierarchal model is used as a framework for the analysis. Fifteen hypotheses are formulated and tested to identify the dimensions of service quality as perceived by university students, to examine the relationship between students' overall satisfaction with influential factors such as tuition fees (price) and the university's image, and to determine the impact of students' overall satisfaction on favourable future behavioural intentions. In addition, students' perceptions of these constructs are compared using demographic factors such as gender, age, and ethnicity. The findings of the study are based on the analysis of a sample of 223 students studying at Lincoln University. Support is found for the use of a hierarchical model and the primary dimensions; Interaction Quality, Physical Environment Quality, and Outcome Quality, as broad dimensions of service quality. Ten sub-dimensions of service quality, as perceived by students, are identified. These are: Academic Staff, Administration Staff, Academic Staff Availability, Course Content, Library, Physically Appealing, Social Factors, Personal Development, Academic Development, and Career Opportunities. The results indicate that each of the primary dimensions vary in terms of their importance to overall perceived service quality, as do the sub-dimensions to the primary dimensions. In addition, the statistical results support a relationship between service quality and price; service quality, image, and satisfaction; and satisfaction and favourable future behavioural intentions. However, there is no statistical support for a relationship between price and satisfaction. The results also suggest that students' perceptions of the constructs are primarily influenced by their ethnicity and year of study. The results of the analysis contribute to the service marketing theory by providing an empirically based insight into the satisfaction and service quality constructs in the New Zealand higher education sector. The study also provides an analytical framework for understanding the effects of the three primary dimensions on service quality and the effects of service quality on constructs including price, image, satisfaction, and favourable future behavioural intentions. This study will assist management of higher education to develop and implement a market-oriented service strategy in order to achieve a high quality of service, enhance students' level of satisfaction and create favourable future behavioural intentions.
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Cauthen, Timothy A., and Kristine M. Davis. "Network management practices: an empirical analysis." Thesis, Monterey, California. Naval Postgraduate School, 1997. http://hdl.handle.net/10945/8732.

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Approved for public release; distribution is unlimited
As organizations continue migrating mission critical applications and business processing to distributed computing environments, network utilization and the number of bandwidth-intensive applications with continue increasing. Costly network infrastructure upgrades are forcing organizations to explore alternative management methodologies for addressing bandwidth congestion control. In an era of stagnant budgets and increasing IT requirements, DoD is no exception. The enactment of the Information Technology Management Reform Act of 1996 mandates investigating cost-effective ways of managing 21st century network resources. This study reviews traditional computing resource management and how resource management has changed with the addition of bandwidth as a decision variable. It then investigates current network management practices determined from a sample of business-sector organizations, academic institutions, and military installations, focusing on prioritization and chargeback as bandwidth controls. It then examines the future of prioritization and chargeback technologies and their potential impact on future DoD network operations.
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Books on the topic "Empirical analysis"

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Pardo, Scott. Statistical Analysis of Empirical Data. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43328-4.

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Politakis, Peter G. Empirical analysis for expert systems. Boston: Pitman Advanced Pub. Program, 1985.

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E, Baldwin Robert, and National Bureau of Economic Research., eds. Trade policyissues and empirical analysis. Chicago: University of Chicago Press, 1988.

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1949-, Reed Susan, ed. Conditionals: A comprehensive empirical analysis. Berlin: Mouton de Gruyter, 2001.

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Leeper, Eric Michael. Empirical analysis of policy interventions. Cambridge, MA: National Bureau of Economic Research, 2002.

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Reibstein, David J. Conjoint analysis reliability: Empirical findings. Cambridge, MA: Marketing Science Institute, 1987.

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Reibstein, David J. Conjoint analysis reliability: Empirical findings. Cambridge, Mass: Marketing Science Institute, 1987.

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Productivity analysis: An empirical investigation. New York: Garland Pub., 1996.

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S. A. van de Geer. Regression analysis and empirical processes. Amsterdam, the Netherlands: Centrum voor Wiskunde en Informatica, 1988.

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Reibstein, David J. Conjoint analysis reliability: Empirical findings. [Stanford]: Graduate School of Business, Stanford University, 1985.

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Book chapters on the topic "Empirical analysis"

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Bäck, Thomas, Christophe Foussette, and Peter Krause. "Empirical Analysis." In Natural Computing Series, 55–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40137-4_4.

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Pauluzzo, Rubens, and Bin Shen. "Empirical Analysis." In Impact of Culture on Management of Foreign SMEs in China, 165–214. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77881-5_6.

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Roccioletti, Simona. "Empirical Analysis." In Backtesting Value at Risk and Expected Shortfall, 71–97. Wiesbaden: Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-11908-9_5.

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Schumann, Jan H. "Empirical Analysis." In The Impact of Culture on Relationship Marketing in International Services, 111–84. Wiesbaden: Gabler, 2009. http://dx.doi.org/10.1007/978-3-8349-8379-4_5.

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Keuschnigg, Mirela. "Empirical Analysis." In Comparative Advantage in International Trade, 81–138. Heidelberg: Physica-Verlag HD, 1999. http://dx.doi.org/10.1007/978-3-642-50212-5_9.

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Yankova, Kristina. "Empirical Analysis." In The Influence of Information Order Effects and Trait Professional Skepticism on Auditors’ Belief Revisions, 150–96. Wiesbaden: Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-08871-2_5.

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Bithas, Kostas, and Panos Kalimeris. "Empirical Analysis." In Revisiting the Energy-Development Link, 39–71. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20732-2_6.

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Wulf, Alexander J. "Empirical Analysis." In Encyclopedia of Law and Economics, 712–16. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4614-7753-2_161.

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Wulf, Alexander J. "Empirical Analysis." In Encyclopedia of Law and Economics, 1–5. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-7883-6_161-1.

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Wiehenbrauk, Daniela. "Empirical Analysis." In Lecture Notes in Economics and Mathematical Systems, 99–125. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13393-0_5.

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Conference papers on the topic "Empirical analysis"

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Marinov, Darko. "Session details: Empirical studies." In ISSTA '09: International Symposium on Software Testing and Analysis. New York, NY, USA: ACM, 2009. http://dx.doi.org/10.1145/3261149.

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Pötzelberger, Klaus. "Consistency of the empirical quantization error." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2012: International Conference of Numerical Analysis and Applied Mathematics. AIP, 2012. http://dx.doi.org/10.1063/1.4756158.

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Alksnis, Reinis, and Janis Valeinis. "BARTLETT CORRECTIONS FOR QUANTILE INFERENCE WITH EMPIRICAL LIKELIHOOD." In Mathematical Modelling and Analysis. University of Latvia, 2023. http://dx.doi.org/10.22364/jzym4660.01.

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Hancilar, U., F. Taucer, and C. Corbane. "Empirical fragility assessment after the January 12, 2010 Haiti earthquake." In RISK ANALYSIS 2012. Southampton, UK: WIT Press, 2012. http://dx.doi.org/10.2495/risk120301.

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Robinson, Peter, and Tadas Baltrusaitis. "Empirical analysis of continuous affect." In 2015 International Conference on Affective Computing and Intelligent Interaction (ACII). IEEE, 2015. http://dx.doi.org/10.1109/acii.2015.7344585.

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Sanders, Ian. "Teaching empirical analysis of algorithms." In the 33rd SIGCSE technical symposium. New York, New York, USA: ACM Press, 2002. http://dx.doi.org/10.1145/563340.563468.

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Dell'Amico, Matteo, Pietro Michiardi, and Yves Roudier. "Password Strength: An Empirical Analysis." In IEEE INFOCOM 2010 - IEEE Conference on Computer Communications. IEEE, 2010. http://dx.doi.org/10.1109/infcom.2010.5461951.

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Taylor, Carol, and Jim Alves-Foss. "An empirical analysis of NATE." In the 2002 workshop. New York, New York, USA: ACM Press, 2002. http://dx.doi.org/10.1145/844102.844106.

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Pushpa, S. K., T. N. Manjunath, Gireesh Babu C.N., and Syed Furqan Azeez. "An Empirical Analysis of Passwords." In 2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT). IEEE, 2018. http://dx.doi.org/10.1109/icgciot.2018.8753109.

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Montalvao, Jugurta, Eduardo O. Freirem, Murilo A. Bezerra, and Rodolfo Garcia. "Empirical keystroke analysis in passwords." In 5th IEEE Biosignals and Biorobotics conference (BRC 2014). IEEE, 2014. http://dx.doi.org/10.1109/brc.2014.6880989.

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Reports on the topic "Empirical analysis"

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Leeper, Eric, and Tao Zha. Empirical Analysis of Policy Interventions. Cambridge, MA: National Bureau of Economic Research, July 2002. http://dx.doi.org/10.3386/w9063.

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Beckert, Walter. Empirical analysis of buyer power. Institute for Fiscal Studies, July 2009. http://dx.doi.org/10.1920/wp.cem.2009.1709.

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King, Mervyn. The Empirical Analysis of Tax Reforms. Cambridge, MA: National Bureau of Economic Research, August 1986. http://dx.doi.org/10.3386/w1996.

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Becker, Gary, Michael Grossman, and Kevin Murphy. An Empirical Analysis of Cigarette Addiction. Cambridge, MA: National Bureau of Economic Research, April 1990. http://dx.doi.org/10.3386/w3322.

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Fryer, Roland, and Paul Torelli. An Empirical Analysis of 'Acting White'. Cambridge, MA: National Bureau of Economic Research, May 2005. http://dx.doi.org/10.3386/w11334.

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Macartney, Hugh, Robert McMillan, and Uros Petronijevic. Incentive Design in Education: An Empirical Analysis. Cambridge, MA: National Bureau of Economic Research, December 2015. http://dx.doi.org/10.3386/w21835.

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Donges, Amanda L. A Multinational Empirical Analysis of Humanitarian Assistance. Fort Belvoir, VA: Defense Technical Information Center, May 2002. http://dx.doi.org/10.21236/ada405972.

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Besley, Timothy, and Harvey Rosen. Sales Taxes and Prices: An Empirical Analysis. Cambridge, MA: National Bureau of Economic Research, July 1998. http://dx.doi.org/10.3386/w6667.

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Trolle, Anders, and Eduardo Schwartz. An Empirical Analysis of the Swaption Cube. Cambridge, MA: National Bureau of Economic Research, November 2010. http://dx.doi.org/10.3386/w16549.

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Kuziemko, Ilyana, and Steven Levitt. An Empirical Analysis of Imprisoning Drug Offenders. Cambridge, MA: National Bureau of Economic Research, September 2001. http://dx.doi.org/10.3386/w8489.

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