Academic literature on the topic 'Efficiency testing'

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Journal articles on the topic "Efficiency testing"

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Halimovich, Yuldashev Abdusamat, and Ermatov Axror Baxtiyorjon Ogli. "Increasing Learning Efficiency Using Adaptive Testing Technology." American Journal of Engineering And Techonology 03, no. 02 (February 17, 2021): 31–41. http://dx.doi.org/10.37547/tajet/volume03issue02-05.

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Purpose: The article describes a set of software developed for adaptive testing technology in the implementation of an objective assessment of students' knowledge. There is also information about the possibility of computerizing education, reducing the unproductive live work of teachers, preserving the methodological potential of experienced professors, installing computer software for management. Methods: It is noted that the experiments were carried out by 2nd year students of the Andijan Machine-Building Institute in the direction of "Ground transport systems and their operation." Results: The research results are presented in the form of some data by means of mathematical statistical processing. The Pearson, Kolmagorov and Romanovsky criteria were also used to check the accuracy of the study results. Conclusion: it is stated that a software package aimed at creating a technology for remote and adaptive testing without the participation of the human factor will allow processing the results of experiments in educational and research centers and achieving them in practice.
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Boutabba, Islem Ahmed. "Testing financial market efficiency." JOURNAL OF SOCIAL SCIENCE RESEARCH 3, no. 3 (April 30, 2014): 351–72. http://dx.doi.org/10.24297/jssr.v3i3.3264.

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Since the birth of the financial literature until the 1970s, the efficient market hypothesis has been regarded as a central hypothesis. In the mid-1970s, there were theoretical and empirical evidence stating that the EMH seems untouchable. However, recently there has been an emergence of arguments doubting the EMH. The EMH implicitly indicates that stock prices can follow a random walk. Currently, financial theory has shown that stock prices do not follow a random walk.In this regard, our empirical study rejected the hypothesis of a random walk for 27 indices out of 28 studied. We confirm that the studied indices time series do not follow a random walk, and therefore we reject the financial markets efficiency hypothesis in its weak form. This result corroborates those of Fama and French (1992.993), DeBondt and Thaler (1985), Lo and MacKinlay (1991), Jagadeesh and Titman (1993) and Shleifer and Vishny (1997). Therefore, financial markets efficiency hypothesis in its weak form is also rejected. This result is logical given the limited capacity of the classical theory in explaining abnormal returns such as bubbles, crashes and excess volatility
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Boutabba, Islem. "Testing financial market efficiency." JOURNAL OF SOCIAL SCIENCE RESEARCH 4, no. 2 (June 4, 2014): 548–63. http://dx.doi.org/10.24297/jssr.v4i2.3151.

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Since the birth of the financial literature until the 1970s, the efficient market hypothesis has been regarded as a central hypothesis. In the mid-1970s, there were theoretical and empirical evidence stating that the EMH seems untouchable. However, recently there has been an emergence of arguments doubting the EMH. The EMH implicitly indicates that stock prices can follow a random walk. Currently, financial theory has shown that stock prices do not follow a random walk. In this regard, our empirical study rejected the hypothesis of a random walk for 27 indices out of 28 studied. We confirm that the studied indices time series do not follow a random walk, and therefore we reject the financial markets efficiency hypothesis in its weak form. This result corroborates those of Fama and French (1992.993), DeBondt and Thaler (1985), Lo and MacKinlay (1991), Jagadeesh and Titman (1993) and Shleifer and Vishny (1997). Therefore, financial markets efficiency hypothesis in its weak form is also rejected. This result is logical given the limited capacity of the classical theory in explaining abnormal returns such as bubbles, crashes and excess volatility.
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Pfister, Felix, Christian Schyr, and Franck Le Rhun. "Total energy efficiency testing." ATZ worldwide 111, no. 11 (November 2009): 45–49. http://dx.doi.org/10.1007/bf03225332.

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Ahmad, Khan Masood, Shahid Ashraf, and Shahid Ahmed. "Testing Weak Form Efficiency." Indian Economic Journal 55, no. 2 (July 2007): 162–76. http://dx.doi.org/10.1177/0019466220070211.

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Boya, Christophe. "Testing capital market efficiency." Global Business and Economics Review 19, no. 2 (2017): 194. http://dx.doi.org/10.1504/gber.2017.082586.

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Boya, Christophe. "Testing capital market efficiency." Global Business and Economics Review 19, no. 2 (2017): 194. http://dx.doi.org/10.1504/gber.2017.10002783.

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Even, William E., and Nicholas R. Noble. "Testing efficiency in gambling markets." Applied Economics 24, no. 1 (January 1992): 85–88. http://dx.doi.org/10.1080/00036849200000106.

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Scaillet, Olivier, and Nikolas Topaloglou. "Testing for Stochastic Dominance Efficiency." Journal of Business & Economic Statistics 28, no. 1 (January 2010): 169–80. http://dx.doi.org/10.1198/jbes.2009.06167.

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Hasan, Iftekhar, and Fotios Pasiouras. "Stress Testing and Bank Efficiency." International Journal of Corporate Finance and Accounting 2, no. 2 (July 2015): 1–20. http://dx.doi.org/10.4018/ijcfa.2015070101.

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This study examines whether and how the stress testing of European banks in 2010, 2011, and 2014 is related to their technical, allocative, and cost efficiency. Using a sample of large commercial banks operating in 20 European countries, and Data Envelopment Analysis (DEA), the authors perform comparisons between banks that were included in one of the three European stress tests and untested banks operating in the same countries. They estimate various specifications as for the inputs and outputs, cross-section and pooled estimations, and they also examine alternative samples as for the ownership of banks. In general, the authors conclude that banks included in the stress-test exercises are more efficient that their counterparties. The differences tend to be statistically significant in the case of allocative efficiency and cost efficiency, but not in the case of technical efficiency. With regards to the latter form of efficiency, the results depend upon the specification and the stress test in question.
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Dissertations / Theses on the topic "Efficiency testing"

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Hans, Pamela Dianne. "Discharge estimation techniques for hydraulic efficiency testing." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0027/MQ51749.pdf.

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Jönsson, Tim. "Efficiency determination of automated techniques for GUI testing." Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH. Forskningsmiljö Informationsteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-24146.

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Efficiency as a term in software testing is, in the research community, a term that is not so well defined. In the industry, and specifically the test tool industry, it has become a sales pitch without meaning. GUI testing in its manual form is a time consuming task, which can be thought of as repetitive and tedious by testers. Using human testers to perform a task, where focus is hard to keep, often ends in defects going unnoticed. The purpose of this thesis is to collect knowledge on the area efficiency in software testing, but focusing more on efficiency in GUI testing in order to keep the scope focused. Part of the purpose is also to test the hypothesis that automated GUI testing is more efficient than traditional, manual GUI testing. In order to reach the purpose, the choice fell to use case study research as the main research method. Through the case study, a theoretical study was performed to gain knowledge on the subject. To gain data used for an analysis in the case study, the choice fell on using a semi-experimental research approach where one automated GUI testing technique called Capture & Replay was tested against a more traditional approach towards GUI testing. The results obtained throughout the case study gives a definition on efficiency in software testing, as well as three measurements on efficiency, those being defect detection, repeatability of test cases, and time spent with human interaction. The result also includes the findings from the semi-experimental research approach where the testing tools Squish, and TestComplete, where used beside a manual testing approach. The main conclusion deducted in this work is that an automated approach towards GUI testing can become more efficient than a manual approach, in the long run. This is when efficiency is determined on the points of defect detection, repeatability, and time.
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Mresa, Elfurjani Sassi. "On the efficiency of selective mutation for software testing." Thesis, University of Hull, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.301479.

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Lyons, Gerard P. "Testing the efficiency of the U.K. financial futures markets." Thesis, Queen Mary, University of London, 1986. http://qmro.qmul.ac.uk/xmlui/handle/123456789/1658.

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This thesis tests the efficiency of the U.K. financial futures market, using data over the period from September 1982 to March 1985. In examining the efficiency of the U.K. financial futures market a number of significant contributions are made to the existing literature. First, efficiency is examined on a data set that has not been rigorously examined. Second, more comprehensive tests of efficiency are proposed within this thesis than are reported elsewhere in the literature. chapter one provides a summary and review of the issues examined in the thesis. A detailed explanation of what constitutes a financial futures contract is given in chapter two, which covers the operational and institutional aspects of financial futures markets. A comprehensive survey of the literature is presented in chapters three and four. Chapter three looks in detail at the early theory and discusses the theoretical issues that are relevant in terms of financial futures. Chapter four examines the empirical literature and issues involved in testing efficiency. Five hypotheses are proposed that a financial futures market should possess. These hypotheses are then used to test efficiency on the U.K. financial futures market in chapters five to eight. First, arbitrage opportunities should not exist between the futures market and the underlying cash or the corresponding forward market. Second, it should not be possible to develop profitable pricing rules on the basis of past prices. Third, assuming risk neutrality, futures rates should be unbiased predictions of the futures rate at the maturity day of the contract. Fourth, news effects should explain any forecast errors that arise. Fifth, futures rates should incorporate all relevant information and hence exhibit variance. The rigorous examination of these different hypotheses finds that the U.K. financial futures market is efficient
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Fiorenza, Paul R. "Delivering Program Efficiency to Aerospace Testing Using Designed Experiments." Thesis, The George Washington University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10928677.

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Given the increasing complexity of systems and the cost associated with test and evaluation of aerospace systems, more efficient methods are sought. Randomized test designs for aviation developmental test activities and other complex systems may not enable safe test conduct and may be prohibitively costly from a financial or time point of view. This research reviews Design of Experiments (DoE) test design approaches applicable to aerospace prototype test and evaluation activities. It proposes the use of Split Plot Optimal Designs to leverage advantages of DoE while satisfying requirements for limited randomization of the test runs. Through the use of case studies, the Split Plot Optimal Design approach is demonstrated to provide a 58% cost and schedule savings versus a One Factor At a Time approach, and 53% savings from the fully randomized Central Composite Design, while maintaining relevant statistical power. Through the use of Monte Carlo data simulation, the designs are evaluated for application to linear and quadratic models, with statistically significant results measured by Chi Squared and Kolmogorov-Smirnov tests.

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Chen, Daven 1959. "COMPARISON OF SCIRTSS EFFICIENCY WITH D-ALGORITHM APPLICATION TO ITERATIVE NETWORKS (TEST)." Thesis, The University of Arizona, 1986. http://hdl.handle.net/10150/275572.

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Spinosa, Charles L. "Testing the Efficiency of the NFL Point Spread Betting Market." Scholarship @ Claremont, 2014. http://scholarship.claremont.edu/cmc_theses/986.

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This paper examines the efficiency of pricing in the NFL point spread betting market, as hypothesized by the Efficient Market Hypothesis, through both statistical and economic tests. This market provides a simpler framework to test such economic hypotheses than conventional financial markets. Using a larger sample size than past literature, this paper finds that while the market is efficient in the aggregate sense, there are still some profit opportunities which imply pricing inefficiencies.
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Holder, Nicole. "Testing adaptive market efficiency under the assumption of stochastic volatility." Master's thesis, University of Cape Town, 2017. http://hdl.handle.net/11427/27101.

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This dissertation explores the adaptive market hypothesis (AMH) first proposed by Lo (2004) which incorporates the efficient market hypothesis (EMH) of Malkiel and Fama (1970) and its behavioural exceptions. The AMH differs from the EMH, in that it assumes that the efficiency level of a market can fluctuate over time, whereas the EMH does not. The original test of evolving efficiency (TEE) was developed by Emerson et al. (1997) and Zalewska-Mitura and Hall (1999) and has an underlying GARCH-M model. Later, the generalised test of evolving efficiency (GTEE) was developed by Kulikova and Talyor (in progress), which has an underlying stochastic GARCH-M model proposed by Hall (1991). In this dissertation, the stochastic volatility test of evolving efficiency (SV-TEE) is developed using an underlying Stochastic Volatility-in-Mean (SVM) model introduced by Koopman and Uspensky (2002). The QMLE technique introduced by Harvey (1989) and the classical and Extended Kalman Filter techniques are described so that the TEE, the GTEE and the SV-TEE can be calibrated together with the hidden volatility process estimation. The empirical study tests the adaptive efficiency of four markets - two developed (London Stock Exchange and New York Stock Exchange), a mature developing (Johannesburg Stock Exchange) and an immature developing (Nairobi Stock Exchange). The best-performing tests were selected for each market and it was observed that there were constant and adaptive efficiencies in the developed and mature developing markets, and constant inefficiency in the immature developing market. The SV-TEE was not selected as the best-performing test for any of the markets - possibly because the time period considered for each market was too short.
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Smigielski, Ken Alan. "Design and Set Up of a System for Testing HEPA Filter Efficiency." University of Toledo Health Science Campus / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=mco1188924969.

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Vincent, Raymond A. Jr. "Efficiency analysis of the cyclone separator using CFD techniques." Thesis, Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/17372.

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Books on the topic "Efficiency testing"

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Ferson, Wayne E. Testing portfolio efficiency with conditioning information. Cambridge, Mass: National Bureau of Economic Research, 2006.

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Galowin, Lawrence S. Efficiency of electric motors. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1995.

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Fuel cell efficiency. Hauppauge, N.Y: Nova Science Publishers, 2011.

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Korfiatis, Yorgos. Testing the efficiency of the Dutch exchange market. London: University of Greenwich, School of Social Sciences, 1996.

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Moosa, I. A. Testing efficiency and unbiasedness in the oil market. Sheffield: SheffieldUniversity Management School, 1993.

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Turyareeba, Patience J. Testing the efficiency of cookstoves: A manual for Africa. Nairobi, Kenya: KENGO Regional Wood Energy Programme for Africa, 1992.

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Handschuh, Robert F. Efficiency testing of a helicopter transmission planetary reduction stage. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Division, 1988.

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Lyons, Gerard P. Testing efficiency on the London international financial futures exchange. London: University of London QueenMary College Department of Economics, 1985.

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Yu, Jianfeng. Electrical motor products: International energy-efficiency standards and testing methods. Cambridge: Woodhead Publishing, 2011.

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Yu, Jianfeng. Electrical motor products: International energy-efficiency standards and testing methods. Cambridge: Woodhead Publishing, 2011.

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Book chapters on the topic "Efficiency testing"

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Maver, Tina, Uroš Maver, Tanja Pivec, Manja Kurečič, Zdenka Persin, and Karin Stana Kleinschek. "Safety and Efficiency Testing." In SpringerBriefs in Molecular Science, 87–94. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89608-3_7.

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Jain, Kamal, and S. Arun-Kumar. "Testing processes for efficiency." In Lecture Notes in Computer Science, 100–110. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-62034-6_41.

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Nikitin, Yakov. "Asymptotic Relative Efficiency in Testing." In International Encyclopedia of Statistical Science, 72–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-04898-2_127.

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Cummings, Paul G. "Efficiency Measurement Testing and Labeling." In Energy Efficiency Improvements in Electric Motors and Drives, 274–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60832-2_21.

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Sintonen, Ilkka. "On Site Testing." In Energy Efficiency Improvements in Electronic Motors and Drives, 296–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59785-5_26.

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Zlobec, Sanjo. "Efficiency Testing in Data Envelopment Analysis." In Applied Optimization, 225–42. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-0011-7_14.

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Drdácký, Miloš. "Testing Efficiency of Stone Conservation Treatments." In Advanced Materials for the Conservation of Stone, 175–84. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72260-3_8.

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Kopa, Miloš. "Robustness in SSD portfolio efficiency testing." In Operations Research Proceedings, 527–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29210-1_84.

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Brown, James N., and Orley Ashenfelter. "Testing the efficiency of employment contracts." In Economic Models of Trade Unions, 151–95. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2378-5_8.

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Suman, P. Vijay, Tukaram Muske, Prasad Bokil, Ulka Shrotri, and R. Venkatesh. "Masking Boundary Value Coverage: Effectiveness and Efficiency." In Testing – Practice and Research Techniques, 8–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15585-7_4.

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Conference papers on the topic "Efficiency testing"

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Prakash, V., and S. Gopalakrishnan. "Testing efficiency exploited: Scripted versus exploratory testing." In 2011 3rd International Conference on Electronics Computer Technology (ICECT). IEEE, 2011. http://dx.doi.org/10.1109/icectech.2011.5941824.

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Harremoes, Peter, and Igor Vajda. "Efficiency of entropy testing." In 2008 IEEE International Symposium on Information Theory - ISIT. IEEE, 2008. http://dx.doi.org/10.1109/isit.2008.4595470.

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Ward, Bethany, and Kenneth Berge. "Un-tethered Test Capability: Improving Airborne Test Efficiency." In 28th Aerodynamic Measurement Technology, Ground Testing, and Flight Testing Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-3165.

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Oleg, Martynov, Ogurtsov Alexander, and Sashov Alexander. "Semiconductor electronic parts testing efficiency." In 2013 11th East-West Design and Test Symposium (EWDTS). IEEE, 2013. http://dx.doi.org/10.1109/ewdts.2013.6673118.

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Baran, Jeffrey K., Craig M. Renneker, and John D. Malloy. "All Wheel Drive Efficiency Testing." In SAE International Congress and Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1988. http://dx.doi.org/10.4271/880700.

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Kaprocki, Zvonimir, Vukota Pekovic, and Gordana Velikic. "Combined testing approach: Increased efficiency of black box testing." In 2015 IEEE 1st International Workshop on Consumer Electronics - Novi Sad. IEEE, 2015. http://dx.doi.org/10.1109/cews.2015.7867160.

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Majumdar, Rana, P. K. Kapur, and Sunil Kumar Khatri. "Measuring testing efficiency: An alternative approach." In 2015 4th International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions). IEEE, 2015. http://dx.doi.org/10.1109/icrito.2015.7359219.

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Böhme, Marcel, and Soumya Paul. "On the efficiency of automated testing." In the 22nd ACM SIGSOFT International Symposium. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2635868.2635923.

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Carlsson, Bo, K. Moeller, Ulrich Frei, and Michael Koehl. "Accelerated life testing of solar absorber coatings." In Optical Materials Technology for Energy Efficiency and Solar Energy Conversion XIII, edited by Volker Wittwer, Claes G. Granqvist, and Carl M. Lampert. SPIE, 1994. http://dx.doi.org/10.1117/12.185359.

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Wang, Yi, Jinfeng Zhu, Xiaoyan Hou, and Yongliang Zhou. "Analysis of Testing Square Cabin Shielding Efficiency." In 2014 7th International Symposium on Computational Intelligence and Design (ISCID). IEEE, 2014. http://dx.doi.org/10.1109/iscid.2014.269.

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Reports on the topic "Efficiency testing"

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Blythe, Gary. High SO2 Removal Efficiency Testing. Office of Scientific and Technical Information (OSTI), February 1997. http://dx.doi.org/10.2172/1980.

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Blythe, Gary. High SO2 Removal Efficiency Testing. Office of Scientific and Technical Information (OSTI), April 1997. http://dx.doi.org/10.2172/1981.

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Blythe, Gary. High SO2 Removal Efficiency Testing. Office of Scientific and Technical Information (OSTI), July 1997. http://dx.doi.org/10.2172/1983.

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Blythe, Gary M., and James L. Phillips. HIGH SO2 REMOVAL EFFICIENCY TESTING. Office of Scientific and Technical Information (OSTI), October 1997. http://dx.doi.org/10.2172/794173.

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Blythe, G. High SO(2) Removal Efficiency Testing. Office of Scientific and Technical Information (OSTI), October 1997. http://dx.doi.org/10.2172/643539.

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Ferson, Wayne, and Andrew Siegel. Testing Portfolio Efficiency with Conditioning Information. Cambridge, MA: National Bureau of Economic Research, March 2006. http://dx.doi.org/10.3386/w12098.

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Parker, G., and J. Currie. Mobile Energy Laboratory energy-efficiency testing programs. Office of Scientific and Technical Information (OSTI), March 1992. http://dx.doi.org/10.2172/5557265.

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Parker, G. B., and J. W. Currie. Mobile Energy Laboratory energy-efficiency testing programs. Office of Scientific and Technical Information (OSTI), September 1991. http://dx.doi.org/10.2172/5245790.

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Blythe, G. High SO[sub 2] removal efficiency testing. Office of Scientific and Technical Information (OSTI), October 1992. http://dx.doi.org/10.2172/6873724.

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Blythe, G. High SO[sub 2] removal efficiency testing. Office of Scientific and Technical Information (OSTI), January 1993. http://dx.doi.org/10.2172/6641335.

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