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Journal articles on the topic 'Efficiency testing'

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Author: Grafiati

Published: 4 June 2021

Last updated: 10 February 2022

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Arieli, Itai, and Yakov Babichenko. "Average testing and Pareto efficiency." Journal of Economic Theory 147, no. 6 (November 2012): 2376–98. http://dx.doi.org/10.1016/j.jet.2012.05.001.

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12

Henderson, Daniel J., and Valentin Zelenyuk. "Testing for (Efficiency) Catching‐up." Southern Economic Journal 73, no. 4 (April 2007): 1003–19. http://dx.doi.org/10.1002/j.2325-8012.2007.tb00815.x.

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13

Dofing, S. M., and C. A. Francis. "Efficiency of One-Replicate Yield Testing." Journal of Production Agriculture 3, no. 3 (July 1990): 399–402. http://dx.doi.org/10.2134/jpa1990.0399.

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14

Caputo, Silvio, Maria Caserio, Richard Coles, Lubo Jankovic, and Mark R. Gaterell. "Testing energy efficiency in urban regeneration." Proceedings of the Institution of Civil Engineers - Engineering Sustainability 165, no. 1 (March 2012): 69–80. http://dx.doi.org/10.1680/ensu.2012.165.1.69.

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15

Bittermann, Heinz, Marcus Seitz, Leander Mölter, and Martin Schmidt. "Testing: Determining fractional efficiency in CAFs." Filtration & Separation 43, no. 10 (December 2006): 18–21. http://dx.doi.org/10.1016/s0015-1882(06)71035-7.

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16

Bittermann, Heinz, Marcus Seitz, Leander Mölter, and Martin Schmidt. "Testing: Measuring fractional efficiency in CAFs." Filtration & Separation 44, no. 1 (January 2007): 35–37. http://dx.doi.org/10.1016/s0015-1882(07)70025-3.

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17

Brown, James N., and Orley Ashenfelter. "Testing the Efficiency of Employment Contracts." Journal of Political Economy 94, no. 3, Part 2 (June 1986): S40—S87. http://dx.doi.org/10.1086/261399.

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18

Carravetta, Armando, Oreste Fecarotta, and Maria Chiara Conte. "Minimum Efficiency Index: testing its performance." World Pumps 2017, no. 4 (April 2017): 34–37. http://dx.doi.org/10.1016/s0262-1762(17)30141-4.

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19

Pugliese, Gina, and Martin S. Favero. "Testing Disinfectant Efficiency on Pseudomonas Biofilm." Infection Control & Hospital Epidemiology 22, no. 03 (March 2001): 186. http://dx.doi.org/10.1017/s0195941700069381.

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20

Ferson, Wayne E., and Andrew F. Siegel. "Testing Portfolio Efficiency with Conditioning Information." Review of Financial Studies 22, no. 7 (January 12, 2009): 2735–58. http://dx.doi.org/10.1093/rfs/hhn112.

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21

Dani, Said Ait, and Bouchra Radi. "Efficiency Testing of Emerging Financial Markets." Finance and Finance Internationale, no. 7 (January 2017): 1–11. http://dx.doi.org/10.12816/0040502.

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22

Maberly, Edwin D. "Testing futures market efficiency—A restatement." Journal of Futures Markets 5, no. 3 (1985): 425–32. http://dx.doi.org/10.1002/fut.3990050311.

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23

SCOTT, FRANK A., and O. DAVID GULLEY. "TESTING FOR EFFICIENCY IN LOTTO MARKETS." Economic Inquiry 33, no. 2 (April 1995): 175–88. http://dx.doi.org/10.1111/j.1465-7295.1995.tb01855.x.

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24

Simar, Léopold, and Paul W. Wilson. "TESTING RESTRICTIONS IN NONPARAMETRIC EFFICIENCY MODELS." Communications in Statistics - Simulation and Computation 30, no. 1 (March 28, 2001): 159–84. http://dx.doi.org/10.1081/sac-100001865.

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25

Becnel, Charles L., John W. Kilgore, and Edgar F. Merrill. "Determining Motor Efficiency by Field Testing." IEEE Transactions on Industry Applications IA-23, no. 3 (May 1987): 440–43. http://dx.doi.org/10.1109/tia.1987.4504930.

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26

Vidmar, T., N. Çelik, N. Cornejo Díaz, A. Dlabac, I. O. B. Ewa, J. A. Carrazana González, M. Hult, et al. "Testing efficiency transfer codes for equivalence." Applied Radiation and Isotopes 68, no. 2 (February 2010): 355–59. http://dx.doi.org/10.1016/j.apradiso.2009.10.012.

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27

Lynk, E. L. "Testing efficiency in intermediate regulated industries." Economics Letters 49, no. 3 (September 1995): 323–28. http://dx.doi.org/10.1016/0165-1765(95)00682-6.

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28

Fakhry, Bachar, and Christian Richter. "Testing the Efficiency of the Sovereign Debt Market using an Asymmetrical Volatility Test." Journal of Management and Training for Industries 3, no. 2 (October 1, 2016): 1–15. http://dx.doi.org/10.12792/jmti.3.2.1.

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29

Kumar, Atul, and T. V. Raman. "Testing Market Efficiency of Indian Capital Market." Review of Professional Management- A Journal of New Delhi Institute of Management 14, no. 1 (June 1, 2016): 29. http://dx.doi.org/10.20968/rpm/2016/v14/i1/109400.

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30

Schmalensee, Richard. "Collusion Versus Differential Efficiency: Testing Alternative Hypotheses." Journal of Industrial Economics 35, no. 4 (June 1987): 399. http://dx.doi.org/10.2307/2098580.

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31

Onour, Ibrahim. "Testing Efficiency Performance of Saudi Stock Market." Journal of King Abdulaziz University-Economics and Administration 23, no. 2 (2009): 15–27. http://dx.doi.org/10.4197/eco.23-2.2.

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32

Pimenta, J., L. C. De Lima, J. B. F. Duarte, and R. M. Macedo. "INDUSTRIAL BURNERS TESTING AND COMBUSTION EFFICIENCY ANALYSIS." Revista de Engenharia Térmica 1, no. 2 (December 31, 2002): 03. http://dx.doi.org/10.5380/reterm.v1i2.3503.

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This paper describes experimental procedures and techniques adopted for combustion analysis during the testing of burners for industrial applications. The tests were carried out in the Combustion Technology Laboratory (NTC) of the University of Fortaleza. The NTC facilities are composed basically of experimental testing hall, a monitoring room, a chromatography laboratory and a modeling and simulation studies room. In the lab testing hall, is installed a test bench composed basically of the following parts : a combustion chamber with nominal thermal capacity of 1.000.000 kcal/h, two fully instrumented gas and air supply sections, a gas analyzer for emissions measurement, a panel for monitoring of water supply to combustion chamber coil, a cooling tower for heat delivery of combustion chamber. A data acquisition and control system is available with all the hardware tools for monitoring of the combustion process. With all the acquired measurements of temperature, flow rate, pressures, emissions, etc., the First Law energy balance approach was used in order to evaluate the combustion efficiency of two different burners with 378.000 and 403.200 kcal/h nominal heat power. Analysis of preliminary results allows representing the burners efficiency according to different air and fuel operating conditions. The experimental data obtained are also compared with simulation results from the modeling of the combustion process, presented in another article linked with this work, where a discussion of such comparison is made. Future studies will be dedicated to the development of improved efficiency combustion systems for industrial and commercial applications.

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33

Caracciolo, Sergio, Andrea Montanari, and Andrea Pelissetto. "Testing the efficiency of different improvement programs." Nuclear Physics B 556, no. 1-2 (September 1999): 295–326. http://dx.doi.org/10.1016/s0550-3213(99)00373-9.

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34

Zozulyak, Yu D., Yu L. Levashov, and V. T. Novatsky. "Precision Setup for Fluid Pump Efficiency Testing." Heat Transfer Research 28, no. 7-8 (1997): 499–502. http://dx.doi.org/10.1615/heattransres.v28.i7-8.120.

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35

Barone-Adesi, Giovanni, and Carlo Sala. "Testing market efficiency with the pricing kernel." European Journal of Finance 25, no. 13 (February 27, 2019): 1166–93. http://dx.doi.org/10.1080/1351847x.2019.1581638.

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36

Coleman, Les. "Testing equity market efficiency around terrorist attacks." Applied Economics 44, no. 31 (November 2012): 4087–99. http://dx.doi.org/10.1080/00036846.2011.587778.

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37

Sengupta, Jati K. "Testing allocative efficiency by data envelopment analysis." Applied Economics Letters 5, no. 11 (November 1998): 689–92. http://dx.doi.org/10.1080/135048598354131.

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38

Surblys, Vytenis, and Edgar Sokolovskij. "Research of the Vehicle Brake Testing Efficiency." Procedia Engineering 134 (2016): 452–58. http://dx.doi.org/10.1016/j.proeng.2016.01.067.

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39

Boulet, John. "Improving the flexibility and efficiency of testing." Medical Education 44, no. 1 (January 2010): 18–19. http://dx.doi.org/10.1111/j.1365-2923.2009.03551.x.

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40

Wang, Wenli, and Philip Winters. "Statistically Significant Efficiency Testing of HEPA Filters." Journal of the IEST 47, no. 1 (September 14, 2004): 101–6. http://dx.doi.org/10.17764/jiet.47.1.bq380t6134311822.

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High Efficiency Particulate Air (HEPA) filter manufacturers must ensure the accuracy of efficiency testing for these filters and, at the same time, keep productivity at a reasonable level. This study describes tests conducted to determine the minimum time required to provide statistically significant efficiencies of HEPA filters using a test system currently in use of HEPA filter production. The test results of over 300 HEPA filters were analyzed in this study. The approaches in IEST RP-CC-007.1: Testing ULPA Filters for statistical analysis of particle counts were followed. A Poisson distribution was used to describe the variations and to calculate the lower and upper limits of measured counts at 95% confidence level. This study shows that 90 seconds is sufficient for this test system to determine whether a HEPA filter has an efficiency of 99.990% or higher at 95% confidence. Longer tests will cause the mean measured efficiency to approach the filter's true efficiency and also narrow the confidence interval. However, challenging HEPA filters made of glass fiber media with oil aerosols for up to one hour does not significantly change the filter's true efficiency performance. The preferred approach for a new test system is to use software that calculates the confidence limits of filter efficiency after each sampling cycle and determines whether to continue testing. For an existing system without this type of program (such as the one evaluated in this study), analysis is necessary to make sure the HEPA filters are challenged with enough aerosol particles.

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41

Berger, T., and V. I. Levenshtein. "Asymptotic efficiency of two-stage disjunctive testing." IEEE Transactions on Information Theory 48, no. 7 (July 2002): 1741–49. http://dx.doi.org/10.1109/tit.2002.1013122.

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42

McAdam, N. J., J. Senior, and M. D. Hayward. "Testing the Efficiency of Pollination Bag Materials." Plant Breeding 98, no. 2 (April 1987): 178–80. http://dx.doi.org/10.1111/j.1439-0523.1987.tb01113.x.

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43

Filis, George. "Testing for Market Efficiency in Emerging Markets." Journal of Emerging Market Finance 5, no. 2 (August 2006): 121–33. http://dx.doi.org/10.1177/097265270600500201.

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44

Goers, Sebastian. "Testing Informational Efficiency in the EU ETS." Journal of Sustainable Development of Energy, Water and Environment Systems 2, no. 4 (December 2014): 319–30. http://dx.doi.org/10.13044/j.sdewes.2014.02.0026.

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45

Legg, E. F. "Predictive Values and Efficiency of Laboratory Testing." Annals of Clinical Biochemistry: International Journal of Laboratory Medicine 23, no. 6 (November 1986): 699. http://dx.doi.org/10.1177/000456328602300613.

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46

Narayan, Paresh Kumar, Ruipeng Liu, and Joakim Westerlund. "A GARCH model for testing market efficiency." Journal of International Financial Markets, Institutions and Money 41 (March 2016): 121–38. http://dx.doi.org/10.1016/j.intfin.2015.12.008.

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47

Shanken, Jay. "A Bayesian approach to testing portfolio efficiency." Journal of Financial Economics 19, no. 2 (December 1987): 195–215. http://dx.doi.org/10.1016/0304-405x(87)90002-x.

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48

Greig, Michael A., and W. Patrick Neumann. "Testing of a workstation efficiency evaluator tool." International Journal of Industrial Ergonomics 48 (July 2015): 60–69. http://dx.doi.org/10.1016/j.ergon.2015.03.002.

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49

Fine, Arthur. "Correlations and efficiency: Testing the Bell inequalities." Foundations of Physics 19, no. 5 (May 1989): 453–78. http://dx.doi.org/10.1007/bf00734654.

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50

Wang, Wei, James M. Durack, Michael J. Durack, Jun Zhang, and Peng Zhao. "Automotive Traction Drive Speed Reducer Efficiency Testing." Automotive Innovation 4, no. 1 (February 2021): 81–92. http://dx.doi.org/10.1007/s42154-021-00135-3.

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