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Статті в журналах з теми "Comparison measures"

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Автор: Grafiati

Опубліковано: 6 вересня 2023

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1

Rendsburg, Luca, and Damien Garreau. "Comparison-based centrality measures." International Journal of Data Science and Analytics 11, no. 3 (April 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 under opposing approaches, and we propose a third measure, which is a natural compromise between these two. We further discuss their relation to statistical depth functions, which comprise desirable properties for centrality measures, and conclude with experiments on real and synthetic datasets for medoid estimation and outlier detection.

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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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3

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

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4

Tentori, Katya, Vincenzo Crupi, Nicolao Bonini, and Daniel Osherson. "Comparison of confirmation measures." Cognition 103, no. 1 (April 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 (October 15, 2018): 504. http://dx.doi.org/10.3390/sym10100504.

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Анотація:

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 algorithms for computing invariant partition comparison measures as pseudometrics on the partition space. When combining an invariant partition comparison measure with its classical counterpart, the decomposition of the measure into a structural difference and a difference contributed by the group automorphism is derived.

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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 (November 1, 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 (April 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 (January 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 (June 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 (August 8, 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 (April 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 (October 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 (August 2009): 285–94. http://dx.doi.org/10.2466/pms.109.1.285-294.

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Анотація:

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 (September 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 (March 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 (February 2003): 288–96. http://dx.doi.org/10.2466/pms.2003.96.1.288.

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Анотація:

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 opposed to narrow, specific ones, was correlated with the Basadur Conceptualizer scores ( r = .26, p < .01). Implications are discussed for teachers who must adapt to newer instructional and assessment methods designed to foster students' higher-level thinking skills.

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17

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

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Анотація:

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 aggression. The Desirability Scale was significantly correlated with dimensions of the Picture-Frustration Study but was uncorrelated with Buss-Durkee scores.

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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 (May 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 (September 1, 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 (January 1992): 48–51. http://dx.doi.org/10.1044/0161-1461.2301.48.

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Анотація:

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 PCC based on spontaneous connected speech.

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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 (March 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 (January 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 (January 12, 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 (September 1991): 266–80. http://dx.doi.org/10.1123/jsep.13.3.266.

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Анотація:

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 competitiveness and win orientation, and athletes scored higher than nonathletes on all SOQ scores. Our results suggest that the SOQ and COI do not assess the same competitive-orientation constructs. The SOQ assesses sport-specific achievement orientation; the COI assesses the relative importance of performance versus outcome. Our 4-item measure is comparable and provides a reasonable substitute for the more complex COI.

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27

Barzilai, Jonathan. "Consistency measures for pairwise comparison matrices." Journal of Multi-Criteria Decision Analysis 7, no. 3 (May 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 (January 13, 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 (June 2010): 173–85. http://dx.doi.org/10.1142/s179352451000091x.

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Анотація:

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 possible to describe information content of a system from its statistics.

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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 (December 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 (December 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 (February 12, 2019): 19. http://dx.doi.org/10.3390/dj7010019.

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Анотація:

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 measures had acceptable internal consistency reliability. There were moderate, positive correlations among their scores, and all showed differences in the impact of dental caries on OHRQoL, with children with the highest caries experience having the highest scale scores. Effect sizes were used to assess meaningful change. The CPQ11–14 and the CARIES-QC showed meaningful change. The COHIP-SF score showed no meaningful change. Among children reporting improved OHRQoL, baseline and follow-up scores differed significantly for the CPQ11–14 and CARIES-QC measures, although not for the COHIP-SF. The three scales were broadly similar in their conceptual basis, reliability and validity, but responsiveness of the COHIP-SF was questionable, and the need to compute two different scores for the CARIES-QC meant that its administrative burden was considerably greater than for the other two measures. Replication and use of alternative approaches to measuring meaningful change are suggested.

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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 (April 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 for different subgroups of the population (disaggregated by age and gender) at a range of spatial scales. Analyses reveal that in some cases there are substantial variations in unemployment counts and rates derived from different data sources. It is concluded that the most appropriate way forward would appear to involve the use of alternative parallel measures of unemployment, specifically tailored to the purpose in hand. This necessitates a greater understanding on the part of users of the strengths and weak-nesses of alternative sources, in order that the most appropriate measure is selected.

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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 (February 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 (December 7, 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 (August 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 (March 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 (June 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 (July 25, 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 (January 2, 1988): 65. http://dx.doi.org/10.1136/bmj.296.6614.65-a.

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44

Mordue, A. "Comparison of two measures of waiting times." BMJ 296, no. 6614 (January 2, 1988): 65. http://dx.doi.org/10.1136/bmj.296.6614.65-c.

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45

Walker, M. A., J. L. Shearer, and N. W. Carter. "Comparison of two measures of waiting times." BMJ 296, no. 6614 (January 2, 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 (March 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 (January 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 (June 1, 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 (August 22, 2013): 265–70. http://dx.doi.org/10.1017/s0004972713000567.

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Анотація:

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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