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Artykuły w czasopismach na temat „Comparison measures”

Autor: Grafiati

Data publikacji: 6 września 2023

Data aktualizacji: 31 lipca 2025

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1

Rendsburg, Luca, and Damien Garreau. "Comparison-based centrality measures." International Journal of Data Science and Analytics 11, no. 3 (2021): 243–59. http://dx.doi.org/10.1007/s41060-021-00254-4.

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AbstractRecently, learning only from ordinal information of the type “item x is closer to item y than to item z” has received increasing attention in the machine learning community. Such triplet comparisons are particularly well suited for learning from crowdsourced human intelligence tasks, in which workers make statements about the relative distances in a triplet of items. In this paper, we systematically investigate comparison-based centrality measures on triplets and theoretically analyze their underlying Euclidean notion of centrality. Two such measures already appear in the literature un

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2

QU, Yanhui. "Comparison of fractal measures." Science in China Series A 48, no. 11 (2005): 1545. http://dx.doi.org/10.1360/04ys0211.

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Prasad, Somdutt. "Comparison of Prophylactic Measures." Journal of Cataract & Refractive Surgery 28, no. 12 (2002): 2071. http://dx.doi.org/10.1016/s0886-3350(02)01910-7.

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Tentori, Katya, Vincenzo Crupi, Nicolao Bonini, and Daniel Osherson. "Comparison of confirmation measures." Cognition 103, no. 1 (2007): 107–19. http://dx.doi.org/10.1016/j.cognition.2005.09.006.

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5

Ball, Fabian, and Andreas Geyer-Schulz. "Invariant Graph Partition Comparison Measures." Symmetry 10, no. 10 (2018): 504. http://dx.doi.org/10.3390/sym10100504.

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Symmetric graphs have non-trivial automorphism groups. This article starts with the proof that all partition comparison measures we have found in the literature fail on symmetric graphs, because they are not invariant with regard to the graph automorphisms. By the construction of a pseudometric space of equivalence classes of permutations and with Hausdorff’s and von Neumann’s methods of constructing invariant measures on the space of equivalence classes, we design three different families of invariant measures, and we present two types of invariance proofs. Last, but not least, we provide alg

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6

Oyeka, I. C. A., and C. C. Nnanatu. "Pairwise Comparison in Repeated Measures." Journal of Modern Applied Statistical Methods 13, no. 2 (2014): 151–68. http://dx.doi.org/10.22237/jmasm/1414814820.

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7

Laures, Jacqueline S., and Gary G. Weismer. "Comparison of speech intelligibility measures." Journal of the Acoustical Society of America 117, no. 4 (2005): 2604. http://dx.doi.org/10.1121/1.4777735.

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8

Eisert, Jens, and Martin B. Plenio. "A comparison of entanglement measures." Journal of Modern Optics 46, no. 1 (1999): 145–54. http://dx.doi.org/10.1080/09500349908231260.

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9

Maor, Yasmin, Miri King, Liraz Olmer, and Benjamin Mozes. "A comparison of three measures." Journal of Clinical Epidemiology 54, no. 6 (2001): 565–70. http://dx.doi.org/10.1016/s0895-4356(00)00338-3.

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10

Rebeschini, Patrick, and Ramon van Handel. "Comparison Theorems for Gibbs Measures." Journal of Statistical Physics 157, no. 2 (2014): 234–81. http://dx.doi.org/10.1007/s10955-014-1087-7.

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11

Morel, Jean-Michel, and Filippo Santambrogio. "Comparison of distances between measures." Applied Mathematics Letters 20, no. 4 (2007): 427–32. http://dx.doi.org/10.1016/j.aml.2006.05.009.

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12

Merrill, E. P., F. M. Kramer, A. Cardello, and H. Schutz. "A comparison of satiety measures." Appetite 39, no. 2 (2002): 181–83. http://dx.doi.org/10.1006/appe.2002.0496.

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13

Berry, Kenneth J., Janis E. Johnston, and Paul W. Mielke. "Nominal–Ordinal Measures of Association: A Comparison of Two Measures." Perceptual and Motor Skills 109, no. 1 (2009): 285–94. http://dx.doi.org/10.2466/pms.109.1.285-294.

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The measurement of the magnitude of association between a nominal independent variable and an ordinal dependent variable is an important, but neglected, component in psychological research. Two measures of nominal-ordinal association are described and compared. Resampling permutation methods are utilized to compute probability values for both measures.

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14

Reichman, Brent O., Alan T. Wall, Kent L. Gee, and Tracianne B. Neilsen. "Comparison of measured and predicted statistical measures in military jet noise propagation." Journal of the Acoustical Society of America 138, no. 3 (2015): 1893. http://dx.doi.org/10.1121/1.4933945.

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15

Smith, Eric P. "Statistical Comparison of Weighted Overlap Measures." Transactions of the American Fisheries Society 114, no. 2 (1985): 250–57. http://dx.doi.org/10.1577/1548-8659(1985)114<250:scowom>2.0.co;2.

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16

Houtz, John C., Edwin Selby, Giselle B. Esquivel, Ruth A. Okoye, Kristen M. Peters, and Donald J. Treffinger. "Comparison of Two Creativity Style Measures." Perceptual and Motor Skills 96, no. 1 (2003): 288–96. http://dx.doi.org/10.2466/pms.2003.96.1.288.

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The purpose of this study was to examine the relation between two measures of creativity style for a sample of beginning teachers. 116 student teachers enrolled in an undergraduate teacher-education program in a medium-sized, metropolitan university completed the Kirton Adaption-Innovation Inventory and the Basadur Creative Problem Solving Profile measures. A preference for an Innovator style (higher scores on Kirton's inventory) was correlated with the Generator profile on the Basadur profile ( r = .36, p <.01). The KAI Efficiency scores, suggesting a preference for broad, global ideas as

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17

Govia, Joseph Michael, and Wayne F. Velicer. "Comparison of Multidimensional Measures of Aggression." Psychological Reports 57, no. 1 (1985): 207–15. http://dx.doi.org/10.2466/pr0.1985.57.1.207.

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Despite the research generated on two of the most widely employed measures of aggression, the Buss-Durkee Hostility Inventory and the Rosenzweig Picture-Frustration Study, there has been no analysis of the relationship between scores on these tests although such information permits evaluation of the redundacy of these measures. 122 university students completed both measures and also the Desirability Scale from the Jackson Personality Research Form. Analysis yielded generally low correlations which followed predictable patterns. Overlap was found only in outwardly directed displays of aggressi

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18

Christensen, Larry, and Marci Piper-Terry. "Comparison of psychometric measures of fatigue." Social Behavior and Personality: An International Journal 32, no. 3 (2004): 225–31. http://dx.doi.org/10.2224/sbp.2004.32.3.225.

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19

Warrington, Gregory S. "A Comparison of Partisan-Gerrymandering Measures." Election Law Journal: Rules, Politics, and Policy 18, no. 3 (2019): 262–81. http://dx.doi.org/10.1089/elj.2018.0508.

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20

Garrett, Kimberly K., and Michael J. Moran. "A Comparison of Phonological Severity Measures." Language, Speech, and Hearing Services in Schools 23, no. 1 (1992): 48–51. http://dx.doi.org/10.1044/0161-1461.2301.48.

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The severity of phonological involvement of 20 phonologically impaired children was compared using five measures: phonological deviancy score (PDS), percent consonants correct (PCC) based on connected speech and based on single words, and perceptual ratings from two groups of listeners (elementary education majors, and graduate students in speech-language pathology). All five measures were highly intercorrelated. Both PDS and PCC appear to have clinical utility as objective indicators of severity. PCC based on a standard word list correlated with listener ratings of severity just as well as PC

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21

Olderbak, Sally, Paul Gladden, Pedro Sofio Abril Wolf, and Aurelio José Figueredo. "Comparison of Life History Strategy measures." Personality and Individual Differences 58 (February 2014): 82–88. http://dx.doi.org/10.1016/j.paid.2013.10.012.

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22

Rifqi, M., V. Berger, and B. Bouchon-Meunier. "Discrimination power of measures of comparison." Fuzzy Sets and Systems 110, no. 2 (2000): 189–96. http://dx.doi.org/10.1016/s0165-0114(98)00125-0.

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23

Parthasarathy, V. N., C. M. Graichen, and A. F. Hathaway. "A comparison of tetrahedron quality measures." Finite Elements in Analysis and Design 15, no. 3 (1994): 255–61. http://dx.doi.org/10.1016/0168-874x(94)90033-7.

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24

Marquard, Vivien, Lars Beckmann, Justo L. Bermejo, Christine Fischer, and Jenny Chang-Claude. "Comparison of measures for haplotype similarity." BMC Proceedings 1, Suppl 1 (2007): S128. http://dx.doi.org/10.1186/1753-6561-1-s1-s128.

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25

Irizarry, Rafael A., Zhijin Wu, and Harris A. Jaffee. "Comparison of Affymetrix GeneChip expression measures." Bioinformatics 22, no. 7 (2006): 789–94. http://dx.doi.org/10.1093/bioinformatics/btk046.

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26

Gill, Diane L., Betty C. Kelley, Jeffrey J. Martin, and Christina M. Caruso. "A Comparison of Competitive-Orientation Measures." Journal of Sport and Exercise Psychology 13, no. 3 (1991): 266–80. http://dx.doi.org/10.1123/jsep.13.3.266.

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We compared two sport-specific measures of competitive orientation, the Sport Orientation Questionnaire (SOQ; Gill & Deeter, 1988) and the Competitive Orientation Inventory (COI; Vealey, 1986), and an alternative 4-item version of the COL Male and female athletes and nonathletes at two small colleges completed questionnaire packets. Competitive-orientation scores were similar to those reported in previous research. The 4-item measure correlated with the COI, and neither of those measures correlated with the SOQ. As in previous studies, males scored higher than females on SOQ competitivenes

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27

Barzilai, Jonathan. "Consistency measures for pairwise comparison matrices." Journal of Multi-Criteria Decision Analysis 7, no. 3 (1998): 123–32. http://dx.doi.org/10.1002/(sici)1099-1360(199805)7:3<123::aid-mcda181>3.0.co;2-8.

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28

Ballabio, Davide, Francesca Grisoni, and Roberto Todeschini. "Multivariate comparison of classification performance measures." Chemometrics and Intelligent Laboratory Systems 174 (March 2018): 33–44. http://dx.doi.org/10.1016/j.chemolab.2017.12.004.

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29

Pichler, Alois. "A quantitative comparison of risk measures." Annals of Operations Research 254, no. 1-2 (2017): 251–75. http://dx.doi.org/10.1007/s10479-017-2397-3.

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30

PARKASH, OM, and A. K. THUKRAL. "STATISTICAL MEASURES AS MEASURES OF DIVERSITY." International Journal of Biomathematics 03, no. 02 (2010): 173–85. http://dx.doi.org/10.1142/s179352451000091x.

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Two fields of research have found tremendous applicability in the analysis of biological data-statistics and information theory. Statistics is extensively used for the measurement of central tendency, dispersion, comparison and covariation. Measures of information are used to study diversity and equitability. These two fields have been used independent of each other for data analysis. In this communication, we develop the link between the two and prove that statistical measures can be used as information measures. Our study will be a new interdisciplinary field of research and it will be possi

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31

Emmer, Susanne, Marie Kratz, and Dirk Tasche. "What is the best risk measure in practice? A comparison of standard measures." Journal of Risk 18, no. 2 (2015): 31–60. http://dx.doi.org/10.21314/jor.2015.318.

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32

MORI, Takehiro. "Comparison of the Proposed Stability Robustness Measures." Transactions of the Society of Instrument and Control Engineers 25, no. 11 (1989): 1251–52. http://dx.doi.org/10.9746/sicetr1965.25.1251.

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33

MORI, Takehiro. "Comparison of the Proposed Stability Robustness Measures." Transactions of the Society of Instrument and Control Engineers 26, no. 7 (1990): 839–41. http://dx.doi.org/10.9746/sicetr1965.26.839.

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34

Oberg, Ann L., Linda J. Young, and Leon G. Higley. "A Comparison of Two Measures of Competition." Journal of Agricultural, Biological, and Environmental Statistics 1, no. 4 (1996): 393. http://dx.doi.org/10.2307/1400435.

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35

Foster Page, Lyndie, Fiona Gilchrist, Hillary Broder, Ellen Clark, and W. Thomson. "A Comparison of Three Child OHRQoL Measures." Dentistry Journal 7, no. 1 (2019): 19. http://dx.doi.org/10.3390/dj7010019.

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Comparing oral health-related quality of life (OHRQoL) measures can facilitate selecting the most appropriate one for a particular research question/setting. Three child OHRQoL measures Child Perceptions Questionnaire (CPQ11–14), the Child Oral Health Impact Profile (COHIP) and the Caries Impacts and Experiences Questionnaire for Children (CARIES-QC) were used with 335 10- to 13-year-old participants in a supervised tooth-brushing programme in New Zealand. The use of global questions enabled their validity to be examined. Assessments were conducted at baseline and after 12 months. All three me

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36

Green, A. E. "A Comparison of Alternative Measures of Unemployment." Environment and Planning A: Economy and Space 27, no. 4 (1995): 535–56. http://dx.doi.org/10.1068/a270535.

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Local unemployment rates are frequently used as economic and social indicators at the subregional scale. However, in the early 1990s there has been increasing debate amongst social scientists, economists, and planners about the scope, coverage, and usefulness of unemployment counts and rates. This paper is concerned with comparing and contrasting information available on unemployment from three main data sources—the Employment Department claimant count, the Census of Population, and the Labour Force Survey, lie main substantive focus is on a comparison of the census and claimant-based counts f

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37

Tolga Taner, Mehmet, Bulent Sezen, and Kamal Atwat. "A comparison of two diagnostic performance measures." International Journal of Health Care Quality Assurance 26, no. 2 (2013): 109–17. http://dx.doi.org/10.1108/09526861311297325.

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38

Hamilton, W. T. "Comparison of different measures of blood pressure." BMJ 325, no. 7376 (2002): 1360. http://dx.doi.org/10.1136/bmj.325.7376.1360.

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39

Birenbaum, Menucha. "Test anxiety components: Comparison of different measures." Anxiety Research 3, no. 2 (1990): 149–59. http://dx.doi.org/10.1080/08917779008248749.

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40

Guzman, Joshua D., Richard F. Deckro, Matthew J. Robbins, James F. Morris, and Nicholas A. Ballester. "An Analytical Comparison of Social Network Measures." IEEE Transactions on Computational Social Systems 1, no. 1 (2014): 35–45. http://dx.doi.org/10.1109/tcss.2014.2307451.

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41

Lee, Cynthia, and Philip Bobko. "Self-efficacy beliefs: Comparison of five measures." Journal of Applied Psychology 79, no. 3 (1994): 364–69. http://dx.doi.org/10.1037/0021-9010.79.3.364.

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42

Zimmerman, D. Patrick. "A Comparison of Commonly Used Treatment Measures." Residential Treatment For Children & Youth 13, no. 4 (1996): 49–69. http://dx.doi.org/10.1300/j007v13n04_03.

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43

Nicholl, J. "Comparison of two measures of waiting times." BMJ 296, no. 6614 (1988): 65. http://dx.doi.org/10.1136/bmj.296.6614.65-a.

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Mordue, A. "Comparison of two measures of waiting times." BMJ 296, no. 6614 (1988): 65. http://dx.doi.org/10.1136/bmj.296.6614.65-c.

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Walker, M. A., J. L. Shearer, and N. W. Carter. "Comparison of two measures of waiting times." BMJ 296, no. 6614 (1988): 65–66. http://dx.doi.org/10.1136/bmj.296.6614.65-d.

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46

Kelley, Matthew C., and Benjamin V. Tucker. "A comparison of four vowel overlap measures." Journal of the Acoustical Society of America 145, no. 3 (2019): 1934. http://dx.doi.org/10.1121/1.5102046.

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47

Kelley, Matthew C., and Benjamin V. Tucker. "A comparison of four vowel overlap measures." Journal of the Acoustical Society of America 147, no. 1 (2020): 137–45. http://dx.doi.org/10.1121/10.0000494.

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48

Neely, Gail J., Cherie A. Croak, Luci A. Kohn, and John Y. Cheung. "Comparison of Objective Measures of Facial Expression." Otology & Neurotology 23, Sup 1 (2002): S74—S75. http://dx.doi.org/10.1097/00129492-200200001-00193.

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49

Haltom, W. "Liberal-Conservative Continua: a Comparison of Measures." Political Research Quarterly 43, no. 2 (1990): 387–401. http://dx.doi.org/10.1177/106591299004300213.

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50

FLAMMANG, V. "COMPARISON OF MEASURES OF TOTALLY POSITIVE POLYNOMIALS." Bulletin of the Australian Mathematical Society 89, no. 2 (2013): 265–70. http://dx.doi.org/10.1017/s0004972713000567.

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AbstractIn this paper, explicit auxiliary functions are used to get upper and lower bounds for the Mahler measure of monic irreducible totally positive polynomials with integer coefficients. These bounds involve the length and the trace of the polynomial.

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