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Journal articles on the topic 'Symmetry testing'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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1

Csorgo, Sandor, and C. R. Heathcote. "Testing for Symmetry." Biometrika 74, no. 1 (1987): 177. http://dx.doi.org/10.2307/2336032.

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2

Pewsey, Arthur. "Testing circular symmetry." Canadian Journal of Statistics 30, no. 4 (2002): 591–600. http://dx.doi.org/10.2307/3316098.

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3

CSÖRGŐ, SÅNDOR, and C. R. HEATHCOTE. "Testing for symmetry." Biometrika 74, no. 1 (1987): 177–84. http://dx.doi.org/10.1093/biomet/74.1.177.

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4

Heathcote, C. R., S. T. Rachev, and B. Cheng. "Testing Multivariate Symmetry." Journal of Multivariate Analysis 54, no. 1 (1995): 91–112. http://dx.doi.org/10.1006/jmva.1995.1046.

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5

Einmahl, John H. J., and Zhuojiong Gan. "Testing for central symmetry." Journal of Statistical Planning and Inference 169 (February 2016): 27–33. http://dx.doi.org/10.1016/j.jspi.2015.07.006.

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6

Fernandes, Marcelo, Eduardo F. Mendes, and Olivier Scaillet. "Testing for symmetry and conditional symmetry using asymmetric kernels." Annals of the Institute of Statistical Mathematics 67, no. 4 (2014): 649–71. http://dx.doi.org/10.1007/s10463-014-0469-6.

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7

Partlett, Christopher, and Prakash Patil. "Measuring asymmetry and testing symmetry." Annals of the Institute of Statistical Mathematics 69, no. 2 (2015): 429–60. http://dx.doi.org/10.1007/s10463-015-0547-4.

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8

Jacobs, J. P., W. M. Klipstein, S. K. Lamoreaux, B. R. Heckel, and E. N. Fortson. "Testing time-reversal symmetry usingHg199." Physical Review Letters 71, no. 23 (1993): 3782–85. http://dx.doi.org/10.1103/physrevlett.71.3782.

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9

Chen, Tao, and Gautam Tripathi. "Testing conditional symmetry without smoothing." Journal of Nonparametric Statistics 25, no. 2 (2013): 273–313. http://dx.doi.org/10.1080/10485252.2012.752083.

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10

Einmahl, John H. J., and Maria Gantner. "Testing for bivariate spherical symmetry." TEST 21, no. 1 (2011): 54–73. http://dx.doi.org/10.1007/s11749-011-0235-5.

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11

Herbert, Andrew M., and G. Keith Humphrey. "Bilateral Symmetry Detection: Testing a ‘Callosal’ Hypothesis." Perception 25, no. 4 (1996): 463–80. http://dx.doi.org/10.1068/p250463.

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At the end of the 19th century Mach observed that vertical symmetry is more easily perceived than is symmetry at other orientations, and proposed this resulted from bilateral symmetry in the visual system. Numerous studies of symmetry detection have been conducted, but none has been concentrated on Mach's proposal. Recent interpretations of Mach's hypothesis suggest the corpus callosum mediates the vertical-symmetry advantage. In this ‘callosal’ hypothesis it is suggested that the detectability of symmetry should be narrowly tuned around vertical, and that presentation of patterns away from fixation should disrupt the vertical advantage. We found that the vertical advantage was disrupted by presentation of patterns 1.2 deg from fixation, while detection of symmetry at other orientations was not disrupted. At fixation the orientation tuning was at least within ±10° of vertical. The detection of vertical symmetry at fixation was found to be anomalous in two subjects born without a corpus callosum as compared with controls, but relatively normal for presentation off fixation. The three experiments reported are in agreement with some of the predictions derived from the callosal hypothesis. It appears that the callosal hypothesis may account for the relative advantage of vertical symmetry at fixation, but other mechanisms must operate to detect symmetry at other orientations and positions.

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12

Londergan, J. T., S. Braendler, and A. W. Thomas. "Testing parton charge symmetry at HERA." Physics Letters B 424, no. 1-2 (1998): 185–90. http://dx.doi.org/10.1016/s0370-2693(97)01483-4.

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13

Ngatchou-Wandji, Joseph. "Testing for symmetry in multivariate distributions." Statistical Methodology 6, no. 3 (2009): 230–50. http://dx.doi.org/10.1016/j.stamet.2008.09.003.

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14

Zheng, John Xu. "CONSISTENT SPECIFICATION TESTING FOR CONDITIONAL SYMMETRY." Econometric Theory 14, no. 1 (1998): 139–49. http://dx.doi.org/10.1017/s0266466698141063.

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This paper presents a consistent specification test of conditional symmetry using a kernel method. The test statistic is shown to be asymptotically distributed as standard normal under the null hypothesis of conditional symmetry and consistent against any conditional asymmetric distribution. Power against local alternatives is also investigated. A Monte Carlo simulation is provided to evaluate the finite-sample performance of the test.

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15

RAYNER, J. C. W., and O. THAS. "MORE INFORMATIVE TESTING FOR BIVARIATE SYMMETRY." Australian New Zealand Journal of Statistics 47, no. 2 (2005): 211–17. http://dx.doi.org/10.1111/j.1467-842x.2005.00385.x.

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16

Chen, Tao, Yuanyuan Ji, Yahong Zhou, and Pingfang Zhu. "Testing Conditional Mean Independence Under Symmetry." Journal of Business & Economic Statistics 36, no. 4 (2017): 615–27. http://dx.doi.org/10.1080/07350015.2016.1219263.

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17

Hiai, Fumio, Milán Mosonyi, and Masahito Hayashi. "Quantum hypothesis testing with group symmetry." Journal of Mathematical Physics 50, no. 10 (2009): 103304. http://dx.doi.org/10.1063/1.3234186.

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18

Flack, H. D. "Symmetry testing during least-squares refinement." Acta Crystallographica Section A Foundations of Crystallography 49, s1 (1993): c57. http://dx.doi.org/10.1107/s0108767378098347.

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19

Albisetti, Isaia, Fadoua Balabdaoui, and Hajo Holzmann. "Testing for spherical and elliptical symmetry." Journal of Multivariate Analysis 180 (November 2020): 104667. http://dx.doi.org/10.1016/j.jmva.2020.104667.

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20

Dette, Holger, Sorina Kusi-Appiah, and Natalie Neumeyer. "Testing symmetry in nonparametric regression models." Journal of Nonparametric Statistics 14, no. 5 (2002): 477–94. http://dx.doi.org/10.1080/10485250213906.

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21

Pennington, M. R. "Testing chiral symmetry breaking at DAΦNE". Nuclear Physics A 623, № 1-2 (1997): 189–201. http://dx.doi.org/10.1016/s0375-9474(97)00438-7.

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22

Asrani, Sanjay, Ran Zeimer, Henry Jampel, and Harry Quigley. "Macular Symmetry Testing for Glaucoma Detection." Journal of Glaucoma 15, no. 2 (2006): 182. http://dx.doi.org/10.1097/00061198-200604000-00016.

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23

Hinds, E. A. "Testing time reversal symmetry using molecules." Physica Scripta T70 (January 1, 1997): 34–41. http://dx.doi.org/10.1088/0031-8949/1997/t70/005.

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24

Chang, Y. P., M. C. Hung, H. Liu, and J. F. Jan. "Testing Symmetry of a NIG Distribution." Communications in Statistics - Simulation and Computation 34, no. 4 (2005): 851–62. http://dx.doi.org/10.1080/03610910500307877.

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25

Zhang, Jun, Jing Zhang, Xuehu Zhu, and Tao Lu. "Testing symmetry based on empirical likelihood." Journal of Applied Statistics 45, no. 13 (2018): 2429–54. http://dx.doi.org/10.1080/02664763.2017.1421917.

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26

Xia, J. Q., H. Li, X. Wang, and X. Zhang. "Testing CPT symmetry with CMB measurements." Astronomy & Astrophysics 483, no. 3 (2008): 715–18. http://dx.doi.org/10.1051/0004-6361:200809410.

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27

Bagga, Harmohina, David S. Greenfield, and Robert W. Knighton. "Macular Symmetry Testing For Glaucoma Detection." Journal of Glaucoma 14, no. 5 (2005): 358–63. http://dx.doi.org/10.1097/01.ijg.0000176930.21853.04.

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28

Majewski, Krzysztof, and Nicholas Pippenger. "Attribute estimation and testing quasi-symmetry." Information Processing Letters 109, no. 4 (2009): 233–37. http://dx.doi.org/10.1016/j.ipl.2008.10.011.

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29

Roberts, Ágnes. "Astrophysical Neutrinos in Testing Lorentz Symmetry." Galaxies 9, no. 3 (2021): 47. http://dx.doi.org/10.3390/galaxies9030047.

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An overview of searches related to neutrinos of astronomical and astrophysical origin performed within the framework of the Standard-Model Extension is provided. For this effective field theory, key definitions, intriguing physical consequences, and the mathematical formalism are summarized within the neutrino sector to search for effects from a background that could lead to small deviations from Lorentz symmetry. After an introduction to the fundamental theory, examples of various experiments within the astronomical and astrophysical context are provided. Order-of-magnitude bounds of SME coefficients are shown illustratively for the tight constraints that this sector allows us to place on such violations.

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30

SIEGRIST, JOHANNES. "Symmetry in social exchange and health." European Review 13, S2 (2005): 145–55. http://dx.doi.org/10.1017/s1062798705000724.

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Symmetry is a relevant concept in sociological theories of exchange. It is rooted in the evolutionary old norm of social reciprocity and is particularly important in social contracts. Symmetry breaking through violation of the norm of reciprocity generates strain in micro-social systems and, above all, in victims of non-symmetric exchange. In this contribution, adverse healthconsequences of symmetry breaking in contractual social exchange are analysed, with a main focus on the employment contract. Scientific evidence is derived from prospective epidemiological studies testing the model of effort-reward imbalance at work. Overall, a twofold elevated risk of incident disease is observed in employed men and women who are exposed to non-symmetric exchange. Health risks include coronary heart disease, depression and alcohol dependence, among others. Preliminary results suggest similar effects on health produced by symmetry breaking in other types of social relationships (e.g. partnership, parental roles). These findings underline the importance of symmetry in contractual social exchange for health and well-being.

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31

Sakhanenko, Lyudmila. "Testing Group Symmetry of a Multivariate Distribution." Symmetry 1, no. 2 (2009): 180–200. http://dx.doi.org/10.3390/sym1020180.

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32

Kozubowski, Tomasz J., and Anna K. Panorska. "Testing symmetry under a skew Laplace model." Journal of Statistical Planning and Inference 120, no. 1-2 (2004): 41–63. http://dx.doi.org/10.1016/s0378-3758(02)00503-7.

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33

Kim, J. R. "Testing for bivariate symmetry: An empirical application." Mathematical and Computer Modelling 29, no. 10-12 (1999): 197–201. http://dx.doi.org/10.1016/s0895-7177(99)00102-8.

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34

Sanner, Christian, Nils Huntemann, Richard Lange, et al. "Optical clock comparison for Lorentz symmetry testing." Nature 567, no. 7747 (2019): 204–8. http://dx.doi.org/10.1038/s41586-019-0972-2.

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35

Patrascioiu, Adrian, and Erhard Seiler. "Testing asymptotic scaling and nonabelian symmetry enhancement." Physics Letters B 532, no. 1-2 (2002): 135–40. http://dx.doi.org/10.1016/s0370-2693(02)01479-x.

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36

Russell, Neil. "Testing Lorentz symmetry with atoms and light." Physica Scripta 84, no. 3 (2011): 038101. http://dx.doi.org/10.1088/0031-8949/84/03/038101.

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37

Brito, Frederico, Francisco Rouxinol, M. D. LaHaye, and Amir O. Caldeira. "Testing time reversal symmetry in artificial atoms." New Journal of Physics 17, no. 7 (2015): 075002. http://dx.doi.org/10.1088/1367-2630/17/7/075002.

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38

Westlund, A. H., and S. �hl�n. "On testing for symmetry in business cycles." Empirical Economics 16, no. 4 (1991): 479–502. http://dx.doi.org/10.1007/bf01206041.

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39

Sakhanenko, Lyudmila. "Testing for ellipsoidal symmetry: A comparison study." Computational Statistics & Data Analysis 53, no. 2 (2008): 565–81. http://dx.doi.org/10.1016/j.csda.2008.08.029.

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40

Di Domenico, Antonio. "Testing CPT Symmetry with Neutral K Mesons: A Review." Symmetry 12, no. 12 (2020): 2063. http://dx.doi.org/10.3390/sym12122063.

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The neutral kaon system is a very peculiar system that offers unique possibilities to perform precise tests of the CPT symmetry. The entanglement of neutral kaon pairs that are produced at a ϕ-factory opens up new ways and scenarios in order to test this fundamental discrete symmetry. In this paper, the results of the most recent and significant CPT tests are reviewed. Experiments have set stringent limits on the CPT-violating parameters of different phenomenological models, some of them associated to possible decoherence mechanisms or Lorentz symmetry violation which might be justified in a quantum gravity framework. The present results show no violation of CPT symmetry, while their accuracy in some cases reaches the interesting level at which–in the most optimistic scenarios–quantum gravity effects might show up.

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41

Ceyhan, Elvan. "Testing Spatial Symmetry Using Contingency Tables Based on Nearest Neighbor Relations." Scientific World Journal 2014 (2014): 1–23. http://dx.doi.org/10.1155/2014/698296.

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We consider two types of spatial symmetry, namely, symmetry in the mixed or shared nearest neighbor (NN) structures. We use Pielou’s and Dixon’s symmetry tests which are defined using contingency tables based on the NN relationships between the data points. We generalize these tests to multiple classes and demonstrate that both the asymptotic and exact versions of Pielou’s first type of symmetry test are extremely conservative in rejecting symmetry in the mixed NN structure and hence should be avoided or only the Monte Carlo randomized version should be used. Under RL, we derive the asymptotic distribution for Dixon’s symmetry test and also observe that the usual independence test seems to be appropriate for Pielou’s second type of test. Moreover, we apply variants of Fisher’s exact test on the shared NN contingency table for Pielou’s second test and determine the most appropriate version for our setting. We also consider pairwise and one-versus-rest type tests in post hoc analysis after a significant overall symmetry test. We investigate the asymptotic properties of the tests, prove their consistency under appropriate null hypotheses, and investigate finite sample performance of them by extensive Monte Carlo simulations. The methods are illustrated on a real-life ecological data set.

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42

Stecker, Floyd. "Testing Lorentz Symmetry Using High Energy Astrophysics Observations." Symmetry 9, no. 10 (2017): 201. http://dx.doi.org/10.3390/sym9100201.

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43

Scaccia, L., and R. J. Martin. "Testing axial symmetry and separability of lattice processes." Journal of Statistical Planning and Inference 131, no. 1 (2005): 19–39. http://dx.doi.org/10.1016/j.jspi.2004.01.003.

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44

Park, Man Sik, and Montserrat Fuentes. "Testing lack of symmetry in spatial–temporal processes." Journal of Statistical Planning and Inference 138, no. 10 (2008): 2847–66. http://dx.doi.org/10.1016/j.jspi.2007.10.021.

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45

Eugene F, Schuster, and Richard C. Barker. "Using the bootstrap in testing symmetry versus asymmetry." Communications in Statistics - Simulation and Computation 16, no. 1 (1987): 69–84. http://dx.doi.org/10.1080/03610918708812578.

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46

Berrahou, N., and D. Louani. "Efficiency of some tests when testing symmetry hypothesis." Journal of Nonparametric Statistics 18, no. 7-8 (2006): 465–82. http://dx.doi.org/10.1080/10485250601162468.

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47

Birke, Melanie, Holger Dette, and Kristin Stahljans. "Testing symmetry of a nonparametric bivariate regression function." Journal of Nonparametric Statistics 23, no. 2 (2011): 547–65. http://dx.doi.org/10.1080/10485252.2010.539687.

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48

Bagga, Harmohina, David S. Greenfield, and Robert Knighton. "Reply to Macular Symmetry Testing for Glaucoma Detection." Journal of Glaucoma 15, no. 2 (2006): 182. http://dx.doi.org/10.1097/00061198-200604000-00017.

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49

SWADDLE, JOHN P., and INNES C. CUTHILL. "The biological relevance of testing for perfect symmetry." Animal Behaviour 54, no. 2 (1997): 475–76. http://dx.doi.org/10.1006/anbe.1997.0495.

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50

Baringhaus, Ludwig. "Testing for Spherical Symmetry of a Multivariate Distribution." Annals of Statistics 19, no. 2 (1991): 899–917. http://dx.doi.org/10.1214/aos/1176348127.

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