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Статті в журналах з теми "INDEX SIZE"

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Автор: Grafiati

Опубліковано: 11 вересня 2023

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1

Sonoo, M., and E. V. Stålberg. "56. Size index revisited." Clinical Neurophysiology 123, no. 6 (June 2012): e32-e33. http://dx.doi.org/10.1016/j.clinph.2011.11.138.

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2

Vandekar, Simon, Ran Tao, and Jeffrey Blume. "A Robust Effect Size Index." Psychometrika 85, no. 1 (March 2020): 232–46. http://dx.doi.org/10.1007/s11336-020-09698-2.

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Анотація:

AbstractEffect size indices are useful tools in study design and reporting because they are unitless measures of association strength that do not depend on sample size. Existing effect size indices are developed for particular parametric models or population parameters. Here, we propose a robust effect size index based on M-estimators. This approach yields an index that is very generalizable because it is unitless across a wide range of models. We demonstrate that the new index is a function of Cohen’s d, $$R^2$$ R 2 , and standardized log odds ratio when each of the parametric models is correctly specified. We show that existing effect size estimators are biased when the parametric models are incorrect (e.g., under unknown heteroskedasticity). We provide simple formulas to compute power and sample size and use simulations to assess the bias and standard error of the effect size estimator in finite samples. Because the new index is invariant across models, it has the potential to make communication and comprehension of effect size uniform across the behavioral sciences.

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3

Pan, Qi. "Novel droplet size and complex refractive index measurement based on rainbow detection." Chinese Optics Letters 10, S2 (2012): s22901. http://dx.doi.org/10.3788/col201210.s22901.

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4

Brencis, Ainars, and Jacob Ikkala. "Does City Size Matter? City Brand Index VS Population Size." Sociology and Anthropology 1, no. 2 (September 2013): 95–103. http://dx.doi.org/10.13189/sa.2013.010208.

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5

Yngve, Agneta. "The Santa Body Size Index (SBSI)." Public Health Nutrition 10, no. 12 (December 2007): 1415–16. http://dx.doi.org/10.1017/s1368980007001176.

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6

Keshari Jena, Sangram, and Ashutosh Dash. "Does contract size matter for price discovery and risk management in stock index futures?" Investment Management and Financial Innovations 13, no. 3 (August 23, 2016): 62–74. http://dx.doi.org/10.21511/imfi.13(3).2016.05.

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Анотація:

In an effort to increase the liquidity and accessibility to the investors, National Stock Exchange of India (NSE) had reduced contract size of its Nifty index futures two times from 200 to 100 and, subsequently, to 50 units. How does this change in contract size of index futures impact the informed and hedge based trading, thereby contributing to the twin objectives of price discovery and risk management, respectively? VAR model is applied to daily return volatility, volume and open interest to study the impact. Significant feedback relationship between volume and volatility following the reduction in contract size establishes the informational trading and price discovery. However, no causality from volatility to open interest implies contract size is not a determinant of hedging. But significant causality from open interest to volatility is establishing the non-informational and liquidity trading. So stock exchanges should consider the appropriate lot size before going for introducing new futures contract

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7

Ratanasiripong, Paul, and Heidi Burkey. "Body Mass Index and Body Size Perception." Californian Journal of Health Promotion 9, no. 1 (May 1, 2011): 18–24. http://dx.doi.org/10.32398/cjhp.v9i1.2054.

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Анотація:

The present study investigated actual body size as measured by the Body Mass Index in comparison to self-reported body size among diverse college student population. The study was conducted at a large public university in the western United States. Of the random sample of 15,000 enrolled students selected to receive an electronic survey, a total of 1,798 students elected to participate. Normalizing of overweight and obesity was found among study participants. The results from this survey indicate that, despite the fact that the majority of participants engaged in weight management methods, all gender and ethnic groups underreported instances of overweight and obesity, as well as discrepancies between perceived body image and actual body size. Implications for health promotion and future research are highlighted.

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8

Shanmugam, Ramalingam. "Index method of determining the sample size." Communications in Statistics - Theory and Methods 27, no. 4 (January 1998): 1001–8. http://dx.doi.org/10.1080/03610929808832140.

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9

Fearon, William F., and Rajesh Dash. "Index of Microcirculatory Resistance and Infarct Size." JACC: Cardiovascular Imaging 12, no. 5 (May 2019): 849–51. http://dx.doi.org/10.1016/j.jcmg.2018.04.004.

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10

Hasselbalch, H., D. L. Jeppesen, A. K. Ersbøll, M. D. M. Engelmann, and M. B. Nielsen. "Thymus size evaluated by sonography." Acta Radiologica 38, no. 2 (March 1997): 222–27. http://dx.doi.org/10.1080/02841859709172053.

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Анотація:

Objective: to use sonography in a follow-up study aimed at assessing the size of the thymus in healthy infants, and to search for a possible relation to clinical variables, breast-feeding status, and illness. Material and Methods: Forty-seven healthy infants were examined as neonates and re-examined at 4 months of age. Thirty-seven of the infants were also re-examined at 8,10, and 12 months of age. the thymus size was measured with the sonographic thymic index used as a volume estimate. the correlations between the thymic index and the sex, weight, length, illness, and breast-feeding status of the infants were analysed. Results: at birth the median thymic index was 12 (range 4–29). at 4 months the median thymic index was 28 (range 12–83). the thymic index was positively correlated to the body length of the infant and to its breast-feeding status (p<0.0001). at 8 months the median thymic index was 29 (range 6–55) and most of the variation could be explained by the length of the infant (p=0.0018, r=0.50). at 10 months the median thymic value had decreased to 19 (range 9–49), and at 12 months to 17 (range 7–53). Infants exclusively breast-fed during the first 4 months of their lives had a larger thymic index at 10 months than formula-fed infants (p=0.0024). Infants with fever episodes from 10 to 12 months had a smaller thymic index at 12 months (p=0.0241). Conclusion: the thymus size in healthy infants increases from birth to 4 and 8 months of age and then decreases. Most of the individual variation can be explained by breast-feeding status and body size, and to a lesser extent by illness. We propose statistical models by which the normal variation/distribution of the thymic size can be estimated in infants up to one year of age.

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11

Berguson, William E., David F. Grigal, and Peter C. Bates. "Relative stocking index: a proposed index of site quality." Canadian Journal of Forest Research 24, no. 7 (July 1, 1994): 1330–36. http://dx.doi.org/10.1139/x94-173.

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Site index is difficult to implement and interpret in multispecies, multiple-aged stands, and its relationship to site factors is obscure. Using data from the USDA forest inventory and analysis (FIA) for the Lake States, we developed log-log relationships between mean tree size and stand density for five cover types. Fits were good, with r2 from 0.96 to 0.98 and slopes from −0.948 to −0.995. We define an alternative index of site quality, the relative stocking index (RSI), as the ratio of a stand's measured density to that predicted using the log–log relationship for its cover type (the norm). We divided the range of RSI into three classes for each type (<0.9 of norm, >0.91 but <1.1 of norm, and >1.1 of norm). Based on analyses of the 1977 and 1990 FIA data from Minnesota, class assignments for individual stands remained constant over that 13-year period. Relationships between site factors and either RSI classes or analogous classes based on site index were examined in a subset of 169 stands. Temperature, precipitation, silt content of surface soil, and calculated annual water deficit all differed significantly among RSI classes, but not among site-index classes. The RSI is easy to apply, robust (resistant to change), and related to site factors. It merits additional examination as an index of site quality, especially in heterogenous stands.

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12

Fukuda, Mitsuharu, and Takao Uno. "Roles of Mean Pore Size Index and Grain Size Distribution in Permeability Phenomenon." Doboku Gakkai Ronbunshu, no. 561 (1997): 193–204. http://dx.doi.org/10.2208/jscej.1997.561_193.

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13

WARKENTIN, Ian G., J. Michael REED, and Susie M. DUNHAM. "Offspring size as an index of habitat degradation." ORNITHOLOGICAL SCIENCE 3, no. 2 (2004): 145–53. http://dx.doi.org/10.2326/osj.3.145.

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14

Chuang, Shih-Ching, Yasujiro Murata, Michihisa Murata, and Koichi Komatsu. "An Orifice-Size Index for Open-Cage Fullerenes†." Journal of Organic Chemistry 72, no. 17 (August 2007): 6447–53. http://dx.doi.org/10.1021/jo070790w.

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15

Scaffardi, Lucía B., and Jorge O. Tocho. "Size dependence of refractive index of gold nanoparticles." Nanotechnology 17, no. 5 (February 10, 2006): 1309–15. http://dx.doi.org/10.1088/0957-4484/17/5/024.

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16

Furino, Steven, Sanpei Kageyama, Alan C.H. Ling, Ying Miao, and Jianxing Yin. "Frames with block size four and index three." Journal of Statistical Planning and Inference 106, no. 1-2 (August 2002): 117–24. http://dx.doi.org/10.1016/s0378-3758(02)00207-0.

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17

Chan, Ho-Leung, Tak-Wah Lam, Wing-Kin Sung, Siu-Lung Tam, and Swee-Seong Wong. "A linear size index for approximate pattern matching." Journal of Discrete Algorithms 9, no. 4 (December 2011): 358–64. http://dx.doi.org/10.1016/j.jda.2011.04.004.

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18

D'Anza, Brian, Jesse Knight, and J. Scott Greene. "Does body mass index predict tracheal airway size?" Laryngoscope 125, no. 5 (September 24, 2014): 1093–97. http://dx.doi.org/10.1002/lary.24943.

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19

Rincón, F., G. Zurera, and R. Pozo-Lora. "Size and mercury concentration relationship as contamination index." Bulletin of Environmental Contamination and Toxicology 38, no. 3 (March 1987): 515–22. http://dx.doi.org/10.1007/bf01606622.

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20

Lou, Zhenzhen, Ji-Ming Guo, and Zhiwen Wang. "Maxima of L-index and Q-index: Graphs with given size and diameter." Discrete Mathematics 344, no. 10 (October 2021): 112533. http://dx.doi.org/10.1016/j.disc.2021.112533.

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21

Erdenesumbee, Sulderdene, Geun Sang Lee, Yun Woong Choi, Jang Ki Song, and Gi Sung Cho. "The Desertification Analysis of Mongolia using Grain Size Index and Vegetation Cover Index." Journal of the Korean Cadastre Information Association 19, no. 1 (April 30, 2017): 73–86. http://dx.doi.org/10.46416/jkcia.2017.04.19.1.73.

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22

Panov, Andrey V. "Effect of high index sphere size on effective refractive index of random nanocomposites." Journal of Physics: Conference Series 1092 (September 2018): 012110. http://dx.doi.org/10.1088/1742-6596/1092/1/012110.

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23

Skrzypczak, Izabela, and Lidia Buda-Ożóg. "The quality index for produced concrete and reliability in relation to the small size sample." Budownictwo i Architektura 13, no. 2 (June 11, 2014): 135–41. http://dx.doi.org/10.35784/bud-arch.1888.

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Анотація:

Compliance criteria for the sample size n = 3 have a lot of disadvantages [5,6,7] and they can affect the reduction of quality of produced concrete and, consequently, they can cause too much risk of the recipient (the investor) side. Therefore, the effect of the sample size on the defined quality index of produced concrete has been evaluated. The effect of the sample size and standard deviation on the reliability index of reinforced concrete structures has also been determined.The impact analysis of compliance criteria on the reliability index of reinforced concrete structures was conducted for a compression column. The obtained values of the reliability index results confirm the correctness of the quality index formula and concrete quality proposed in method of defining.

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24

Chang, Xu Xi, Xie Jian Ming, Jiang Ling Fa, and Chen Shan Xiong. "Statistical Characteristics and Correlation Analysis for Control Index of Soil-Aggregate Mixture." Advanced Materials Research 718-720 (July 2013): 1872–77. http://dx.doi.org/10.4028/www.scientific.net/amr.718-720.1872.

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Currently, the soil-aggregate mixture has been widely used in some large-scale site preparation projects, compaction characteristics has been pay more attention by many engineers and researchers. However, systematic research is insufficient on how to choose the filler. Moreover, some industry regulations are different on the requirements about filler. This paper relies on a certain big site preparation projects, discussing statistical characteristics and correlation on the maximal grain size, contents of the coarse grain, gradation and other parameters of soil-aggregate mixture. The results show that the maximal and the median grain size have small discreteness and normal distribution, indicating site filler is easy to reach the requirement; The coefficient of curvature, coefficient of nonuniformity and the coarse grain content have large discreteness, and dont obey normal distribution, indicating the filler has large variability. The median grain size is highly relevant to the coarse grain content; the maximal grain size isnt relevant to the coefficient of nonuniformity, the coefficient of curvature and the coarse grain content. According to the results of correlation analysis, we suggest that the importance order follow by coarse grain content, the maximum grain size and gradation for the control parameters of filler. This research may be significant to other similar projects.

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25

Cavagnetto, Stefano, Inna Makarenko, Václav Brož, Lucie Rivera, and Hanna Filatova. "The sustainability transparency index of sovereign wealth funds: their asset size, SDG country rankings and cross-region comparison." Investment Management and Financial Innovations 19, no. 4 (November 25, 2022): 218–31. http://dx.doi.org/10.21511/imfi.19(4).2022.18.

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Sovereign wealth funds accumulate the largest resources to bridge the financial gap under the Sustainable Development Goals. The basic mechanism for accelerating sustainability progress is the effort of sovereign wealth funds to incorporate environmental, social, governance and ethical criteria and targets of these Goals disclosed in their sustainability reports. This study aims to develop a methodology for assessing the Sustainability Transparency Index in a sample of sovereign wealth funds, as well as to investigate how this transparency is influenced by the size of funds’ assets and sustainability progress with a cross-regional comparison. Five groups of sustainability disclosure metrics, such as the main pillars of novel Sustainability Transparency Index, were tested and analyzed for 91 funds using binary variables and normalization method. Three hypotheses regarding the statistical association of funds’ sustainability transparency index with the size of the funds’ assets, countries’ sustainability progress, and the region of a fund were checked for 87 funds using multiple regression. The overall results of the Sustainability Transparency Index show an insufficient level of funds’ transparency. Sustainability disclosure in 57% of funds surveyed should be fully enhanced in terms of greater sustainability transparency. There is strong evidence of the correlation between the volume of funds’ assets and sustainability transparency as well as the leadership of European funds in a cross-regional comparative study. However, data on the progress of the country’s sustainability and the funds’ Sustainability Transparency Index are limited and can be used as evidence of the insufficient role of fund transparency in promoting sustainability.

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26

Herman, C., G. Horne, J. Wood, O. El-Khateeb, K. Buth, and S launcelott. "SIZE AND FIT: HOW SHOULD WE INDEX AORTIC ROOT SIZE FOR CLINICAL DECISION MAKING?" Canadian Journal of Cardiology 30, no. 10 (October 2014): S229. http://dx.doi.org/10.1016/j.cjca.2014.07.386.

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27

Skliar, Victoria, and Maryna Sherstuk. "SIZE STRUCTURE OF PHYTOPOPULATIONS AND ITS QUANTITATIVE EVALUATION." EUREKA: Life Sciences 1 (January 29, 2016): 9–15. http://dx.doi.org/10.21303/2504-5695.2016.00047.

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There was elucidated the original approach to the evaluation of phytopopulation size structure. For its characteristics it was offered to use the special index - index diversity of size structure (ІDSS). There are presented methods and algorithm of its determination. There was demonstrated that index diversity of size structure can be used at populational studies of species that belong to the different living forms. Especially phanerophytes (Pinus sylvestris) and hamephytes (Ledum palustre). As to Pinus sylvestris and Ledum palustre with help of index diversity of size structure was objectively proved that its cohorts and ontogenetic groups that growth in composition of forest phytocenoses typical for Ukrainian Polissya are not characterized with high level diversity of size structure. The value of index diversity of size structure is mainly less than 20 %. In phytopopulation the specific and phytocenotic peculiarity is demonstrated by diversity of size structure and also by representation of plants of certain size classes.

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28

Burrell, Quentin L. "On the h-index, the size of the Hirsch core and Jin's A-index." Journal of Informetrics 1, no. 2 (April 2007): 170–77. http://dx.doi.org/10.1016/j.joi.2007.01.003.

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29

Pommerening, Arne, Janusz Szmyt, and Gongqiao Zhang. "A new nearest-neighbour index for monitoring spatial size diversity: The hyperbolic tangent index." Ecological Modelling 435 (November 2020): 109232. http://dx.doi.org/10.1016/j.ecolmodel.2020.109232.

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30

Tas, B., I. F. Durmus, O. E. Uzel, and A. Okumus. "Conformity Index, Gradient Index, Heterogeneity Index, and Size of Metastasis Correlations for LINAC-Based Stereotactic Radiosurgery/Radiation Therapy." International Journal of Radiation Oncology*Biology*Physics 99, no. 2 (October 2017): E727. http://dx.doi.org/10.1016/j.ijrobp.2017.06.2351.

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31

Ebbs, Heather. "Size does matter: fitting the index to the pages." Indexer: The International Journal of Indexing 36, no. 1 (March 2018): 19–22. http://dx.doi.org/10.3828/indexer.2018.11.

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32

Ahmed, Wael, Robert A. Fowler, and Victoria A. McCredie. "Does Sample Size Matter When Interpreting the Fragility Index?" Critical Care Medicine 44, no. 11 (November 2016): e1142-e1143. http://dx.doi.org/10.1097/ccm.0000000000001976.

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33

Fleming, John S., Livia Bolt, Jennifer S. Stratford, and Paul M. Kemp. "The specific uptake size index for quantifying radiopharmaceutical uptake." Physics in Medicine and Biology 49, no. 14 (June 29, 2004): N227—N234. http://dx.doi.org/10.1088/0031-9155/49/14/n03.

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34

Assaf, Ahmed M., H. Alhalees, and L. P. S. Singh. "Directed Covering with Block Size 5 and Index Odd." Electronic Notes in Discrete Mathematics 11 (July 2002): 30–52. http://dx.doi.org/10.1016/s1571-0653(04)00053-8.

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35

Bohannon, Philip, Peter Mcllroy, and Rajeev Rastogi. "Main-memory index structures with fixed-size partial keys." ACM SIGMOD Record 30, no. 2 (June 2001): 163–74. http://dx.doi.org/10.1145/376284.375681.

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36

Malham, J. P., J. S. Rees, P. A. Alspach, J. R. Beggs, and H. Moller. "Traffic rate as an index of colony size inVespulawasps." New Zealand Journal of Zoology 18, no. 2 (January 1991): 105–9. http://dx.doi.org/10.1080/03014223.1991.10757956.

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37

Woollacott, Laurie C. "On the size dependence of the King stratification index." Minerals Engineering 124 (August 2018): 86–97. http://dx.doi.org/10.1016/j.mineng.2018.05.009.

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38

Abel, R. Julian R., Malcolm Greig, Ying Miao, and L. Zhu. "Resolvable BIBDs with block size 7 and index 6." Discrete Mathematics 226, no. 1-3 (January 2001): 1–20. http://dx.doi.org/10.1016/s0012-365x(00)00123-0.

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39

Bollen, Kenneth A. "Sample size and Bentler and Bonett's nonnormed fit index." Psychometrika 52, no. 1 (March 1987): 161. http://dx.doi.org/10.1007/bf02293963.

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40

Bollen, Kenneth A. "Sample size and bentler and Bonett's nonnormed fit index." Psychometrika 51, no. 3 (September 1986): 375–77. http://dx.doi.org/10.1007/bf02294061.

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41

Assaf, Ahmed M., Alan Hartman, and N. Shalaby. "Packing designs with block size 6 and index 5." Discrete Mathematics 103, no. 2 (May 1992): 121–28. http://dx.doi.org/10.1016/0012-365x(92)90262-e.

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42

French, Alfred D., and Michael Santiago Cintrón. "Cellulose polymorphy, crystallite size, and the Segal Crystallinity Index." Cellulose 20, no. 1 (February 2013): 583–88. http://dx.doi.org/10.1007/s10570-012-9833-y.

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43

Reiss, Rolf-Dieter. "Estimating the tail index of the claim size distribution." Blätter der DGVFM 18, no. 1 (April 1987): 21–25. http://dx.doi.org/10.1007/bf02809696.

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44

Assaf, Ahmed M. "Directed covering with block size 5 and index even." Discrete Mathematics 188, no. 1-3 (June 1998): 27–40. http://dx.doi.org/10.1016/s0012-365x(97)00272-0.

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45

Maasing, Ethel, Ene-Margit Tiit, and Mare Vähi. "Residency index – a tool for measuring the population size." Acta et Commentationes Universitatis Tartuensis de Mathematica 21, no. 1 (July 3, 2017): 129. http://dx.doi.org/10.12697/acutm.2017.21.09.

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46

Brenden, Travis O., Tyler Wagner, and Brian R. Murphy. "Novel Tools for Analyzing Proportional Size Distribution Index Data." North American Journal of Fisheries Management 28, no. 4 (August 2008): 1233–42. http://dx.doi.org/10.1577/m07-078.1.

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47

Hong-Jian, Zhang, and Xu Guan-Dong. "The effect of particle refractive index on size measurement." Powder Technology 70, no. 2 (May 1992): 189–92. http://dx.doi.org/10.1016/0032-5910(92)85046-x.

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48

Furino, Steven, Malcolm Greig, Ying Miao, and Jianxing Yin. "Resolvable BIBDs with block size 8 and index 7." Journal of Combinatorial Designs 2, no. 2 (1994): 101–16. http://dx.doi.org/10.1002/jcd.3180020206.

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49

Trombiero, Danillo Silveira, Gibson Moreira Praça, Eduardo de Paula Amorim Borges, Claudio Andre Barbosa de Lira, Thiago José Leonardi, Lorenzo Laporta, Henrique de Oliveira Castro, and Gustavo De Conti Teixeira Costa. "Analysis of Physiological, Physical, and Tactical Responses in Small-Sided Games in Women’s Soccer: The Effect of Numerical Superiority." Applied Sciences 13, no. 14 (July 20, 2023): 8380. http://dx.doi.org/10.3390/app13148380.

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Анотація:

Small-sided and conditioned games (SSGs) are pedagogical tools that help in soccer training, being used to solve tactical problems with the specific demands of the game. In this context, this study aimed to compare physical, physiological, and tactical responses in elite women’s soccer in SSGs with numerical equality (3-a-side) and superiority (3-a-side + 1) in the offensive phase. The sample consisted of 16 female athletes participating in official national competitions. Two consecutive days of data collection were conducted, and a 4 min duration series was carried out. The variables analysed were the total distance covered, the distance covered at different speeds, maximum heart rate (HRmáx), mean heart rate, the spatial exploration index, the stretching index, length, width, and LpWratio. The results showed an increase in distance covered at speeds of 7.20–14.29 km/h (m) (effect size: medium) and a decrease in HRmáx (effect size: small) in the numerical superiority. Regarding tactical response, there was a decrease in the spatial exploration index (effect size: large), length (effect size: medium), and stretching index (effect size: large) for games played in the numerical superiority. Thus, it was observed that SSGs with numerical superiority in women’s soccer suggest more clustered, less exploratory, and more positional behaviour of the athletes.

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50

García, Gloria G., Josep Oliva, Eduard Guasch, Hernán Anticoi, Alfredo L. Coello-Velázquez, and Juan M. Menéndez-Aguado. "Variability Study of Bond Work Index and Grindability Index on Various Critical Metal Ores." Metals 11, no. 6 (June 17, 2021): 970. http://dx.doi.org/10.3390/met11060970.

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It is a well-known fact that the value of the Bond work index (wi) for a given ore varies along with the grinding size. In this study, a variability bysis is carried out with the Bond standard grindability tests on different critical metal ores (W, Ta), ranging from coarse grinding (rod mills) to fine grinding (ball mills). The relationship between wi and grinding size did not show a clear correlation, while the grindability index (gpr) and the grinding size showed a robust correlation, fitting in all cases to a quadratic curve with a very high regression coefficient. This result suggests that, when performing correlation studies among ore grindability and rock mechanics parameters, it is advised to use the grindability index instead of the Bond work index.

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