Journal articles: 'Determination coefficient'

1

Young, Philip H. "Generalized Coefficient of Determination." Journal of Cost Analysis & Management 2, no. 1 (January 2000): 59–68. http://dx.doi.org/10.1080/15411656.2000.10462406.

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2

Dahl, Christopher, Brent Harding, and Harry Wiant. "Quick Volume Coefficient Determination for Point Sampling." Northern Journal of Applied Forestry 24, no. 4 (December 1, 2007): 314–16. http://dx.doi.org/10.1093/njaf/24.4.314.

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Abstract Grosenbaugh developed a formula for making quick point-sample estimates of sawtimber volume without measuring diameter. Local coefficients were created for a study area in central Pennsylvania hardwoods and were compared with volume estimates using a range of previously published coefficients. Results indicate that a general constant coefficient of 66 produces sawtimber volume estimates that are as good as using species-specific local coefficients for Pennsylvania hardwoods.

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3

Oliveira, D. M., N. A. Silva, C. F. Bremer, and H. Inoue. "Considerations about the determination of γz coefficient." Revista IBRACON de Estruturas e Materiais 6, no. 1 (February 2013): 75–100. http://dx.doi.org/10.1590/s1983-41952013000100005.

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In this work, the γz coefficient, used to evaluate final second order effects in reinforced concrete structures, is studied. At the start, the influence of the structural model in determination of γz coefficient is evaluated. Next, a comparative analysis of γz and B2 coefficient, usually employed to evaluate second order effects in steel structures, is performed. In order to develop the study, several reinforced concrete buildings of medium height are analysed using ANSYS-9.0 [1] software. The results show that simplified analysis provide more conservative values of γz. It means that, for structures analysed by simplified models, large values of γz don't imply, necessarily, in significant second order effects. Furthermore, it was checked that γz can be determinated from B2 coefficients of each storey of the structures and that, for all the analysed buildings, the average values of the B2 coefficients are similar to γz.

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Marko, Matthew. "Coefficient-of-Determination Fourier Transform." Computation 6, no. 4 (November 27, 2018): 61. http://dx.doi.org/10.3390/computation6040061.

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This algorithm is designed to perform numerical transforms to convert data from the temporal domain into the spectral domain. This algorithm obtains the spectral magnitude and phase by studying the Coefficient of Determination of a series of artificial sinusoidal functions with the temporal data, and normalizing the variance data into a high-resolution spectral representation of the time-domain data with a finite sampling rate. What is especially beneficial about this algorithm is that it can produce spectral data at any user-defined resolution, and this highly resolved spectral data can be transformed back to the temporal domain.

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Farmos, Rudolf László, Norbert Hodgyai, Zoltán Forgó, and Erzsébet Egyed-Faluvégi. "Automated Determination of Friction Coefficient." Műszaki Tudományos Közlemények 12, no. 1 (April 1, 2020): 34–37. http://dx.doi.org/10.33894/mtk-2020.12.04.

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AbstractThe presented research is designed to meet a particular challenge facing the industry. Its aim is to automate the process of friction coefficient determination, using a method that enables quick and easy repeatability of measurements developed by S.C. Plasmaterm S.A in Târgu Mureş.

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Mastryukov, A. F. "Determination of the diffusion coefficient." Mathematical Models and Computer Simulations 7, no. 4 (July 2015): 349–59. http://dx.doi.org/10.1134/s2070048215040067.

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7

Wang, Qiang, and LiYuan Tong. "Determination Permeability Coefficient from Piezocone." Advances in Materials Science and Engineering 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/396428.

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The permeability coefficient of soil profile is one of the problems concerned by engineers, and the determination of permeability coefficient method mainly relies on the laboratory permeability test and field pumping test, but these tests are time-consuming and inefficient, and especially the permeability coefficient of soil under the condition of partial drainage was difficult to determine; in this paper, the modern digital CPTU technology was used. Dimensional permeabilityKTwas defined by using the dimensionless normalized cone tip resistanceQt, friction factorFr, and pore pressure ratioBq, these parameters enable plots ofBq-Qt,Fr-Qt,Bq-Frto be contouredKTand hence for permeability coefficient. The relationship has been applied to Nanjing 4th Yangtze river bridge, and compared with laboratory penetration test. The results indicate that the method can accurately determine the permeability coefficient of soil under partial drainage condition and provide the theoretical basis for engineering application.

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8

Borodii, M. V. "Determination of cycle nonproportionality coefficient." Strength of Materials 27, no. 5-6 (May 1995): 265–72. http://dx.doi.org/10.1007/bf02208497.

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DOROSZEWICZ, STEFAN. "Transient method of vapor permeability coefficient determinations for packaging foils. Part II. Determination of permeability coefficien." Polimery 41, no. 10 (October 1996): 576–79. http://dx.doi.org/10.14314/polimery.1996.576.

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Hirano, Akihiko, Masao Sakane, and Naomi Hamada. "OS18-1-1 Determination of Creep Exponent and Coefficient by Indentation Creep." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2007.6 (2007): _OS18–1–1——_OS18–1–1—. http://dx.doi.org/10.1299/jsmeatem.2007.6._os18-1-1-.

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11

Mironova, T., and A. Kraiski. "Determination of Diffusion Coefficient in Hydrogel." KnE Energy 3, no. 3 (April 25, 2018): 429. http://dx.doi.org/10.18502/ken.v3i3.2057.

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12

Ward, Gary H., and Gus Fernandez. "Partition Coefficient Determination of Antimuscarinic Compounds." Annals of Pharmacotherapy 30, no. 2 (February 1996): 192–95. http://dx.doi.org/10.1177/106002809603000220.

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13

Shah, Arvind K. "C237. On the coefficient of determination." Journal of Statistical Computation and Simulation 22, no. 2 (August 1985): 181–84. http://dx.doi.org/10.1080/00949658508810842.

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14

Murphy,, B. R., I. E. Eleftheriadis,, J. Ning,, W. Milligan,, and E. C. Aifantis,. "On Experimental Determination of Gradient Coefficient." Journal of the Mechanical Behavior of Materials 14, no. 4-5 (September 2003): 271–78. http://dx.doi.org/10.1515/jmbm.2003.14.4-5.271.

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15

Cristofol, Michel, Isma Kaddouri, Grégoire Nadin, and Lionel Roques. "Coefficient determination via asymptotic spreading speeds." Inverse Problems 30, no. 3 (February 6, 2014): 035005. http://dx.doi.org/10.1088/0266-5611/30/3/035005.

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16

Scaglione, D., S. Caffaz, E. Bettazzi, and C. Lubello. "Experimental determination of Anammox decay coefficient." Journal of Chemical Technology & Biotechnology 84, no. 8 (August 2009): 1250–54. http://dx.doi.org/10.1002/jctb.2149.

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17

Ozer, Daniel J. "Correlation and the coefficient of determination." Psychological Bulletin 97, no. 2 (1985): 307–15. http://dx.doi.org/10.1037/0033-2909.97.2.307.

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18

Mahrt, L., Dean Vickers, Jielun Sun, Niels Otto Jensen, Hans Jørgensen, Eric Pardyjak, and Harindra Fernando. "Determination Of The Surface Drag Coefficient." Boundary-Layer Meteorology 99, no. 2 (May 2001): 249–76. http://dx.doi.org/10.1023/a:1018915228170.

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19

McLaughlin, Craig A., Steve Mance, and Travis Lichtenberg. "Drag Coefficient Estimation in Orbit Determination." Journal of the Astronautical Sciences 58, no. 3 (July 2011): 513–30. http://dx.doi.org/10.1007/bf03321183.

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20

Khmil', D. N. "Determination of the spectral dependence for the absorption coefficient of phosphor inorganic microparticles." Semiconductor Physics Quantum Electronics and Optoelectronics 18, no. 3 (September 30, 2015): 334–40. http://dx.doi.org/10.15407/spqeo18.03.334.

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21

Faměra, O., M. Hrušková, and D. Novotná. "Evaluation of methods for wheat grain hardness determination." Plant, Soil and Environment 50, No. 11 (December 10, 2011): 489–93. http://dx.doi.org/10.17221/4063-pse.

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Grain hardness of winter wheat cultivars was evaluated during 1997–2001 using several methods: wheat hardness index WHI (DO-Corder Brabender), 0.140 mmsieve threw ratio PPS (DO-Corder Brabender), grain hardness by NIR (Inframatic 8611 Perten), particle size index PSI (LM 3303 Perten). All tested methods showed varietal (genetic) origin of grain hardness trait and it is possible to use these methods for grain hardness determination. NIR method have had the lowest coefficient of variation (12.6%), WHI and PSI coefficient of variation was 32.8 and 30.6%, respectively. A significant influence of year-class was found only for PPS method. A high value of correlation coefficient was found between methods: WHI × NIR (r = 0.84), WHI × PPS (r = –0.79), and NIR × PPS (r = 0.74). During 2000–2001 was correlation coefficient r = –0.93 for PSI × NIR. The coefficient of variation for PSI method was 28.5%.

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22

He, M. M., F. Pang, H. T. Wang, J. W. Zhu, and Y. S. Chen. "Energy Dissipation-Based Method for Strength Determination of Rock under Uniaxial Compression." Shock and Vibration 2020 (August 13, 2020): 1–13. http://dx.doi.org/10.1155/2020/8865958.

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The energy conversion in rocks has an important significance for evaluation of the stability and safety of rock engineering. In this paper, some uniaxial compression tests for fifteen different rocks were performed. The evolution characteristics of the total energy, elastic energy, and dissipated energy for the fifteen rocks were studied. The dissipation energy coefficient was introduced to study the evolution characteristics of rock. The evolution of the dissipation energy coefficient for different rocks was investigated. The linear interrelations of the dissipation energy coefficients and the yield strength and peak strength were explored. The method was proposed to determine the strength of rock using the dissipation energy coefficients. The results show that the evolution of the dissipation energy coefficient exhibits significant deformation properties of rock. The dissipation energy coefficients linearly increase with the compaction strength, but decrease with the yield strength and peak strength. Moreover, the dissipation energy coefficient can be used to determine the rock burst proneness and crack propagation in rocks.

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23

Landrø, M., and R. Sollie. "Source signature determination by inversion." GEOPHYSICS 57, no. 12 (December 1992): 1633–40. http://dx.doi.org/10.1190/1.1443230.

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A new method for estimating the pressure wavefield generated by a marine air‐gun array is presented. It is assumed that data is acquired at a ministreamer located below the source array. Effective source signatures for each air gun are estimated by an inversion algorithm. The forward modeling scheme used in the inversion algorithm is based upon a physical modeling of the air bubble generated by each air gun. This means that typical inversion parameters are: gun depths, empirical damping coefficients, and reflection coefficient of the sea surface. Variations in streamer depth are also taken into account by the inversion scheme. The algorithm has been successfully tested on examples with unknown streamer positions, gun parameters, reflection coefficient of sea surface, and ministreamer data contaminated with white noise.

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24

Azzumar, Muhammad, Lukluk Khairiyati, and Agah Faisal. "DETERMINATION OF THE STANDARD RESISTOR TEMPERATURE COEFFICIENTS AND THEIR UNCERTAINTIES." Jurnal Standardisasi 21, no. 3 (November 19, 2019): 219. http://dx.doi.org/10.31153/js.v21i3.796.

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SNSU TK-BSN’s capability in determining the temperature coefficients of a standard resistor has been improved. The temperature coefficient is one of the important parameter in determining the definition of the standard resistor. Currently, the measurement result has been reported together with the measurement uncertainty. The determination itself is based on a numerical approach of Taylor Series Approximation (TSA) instead of based on a fitting to a certain equation. And by this determination, the uncertainty was calculated. The determination was validated by comparing the measurement result committed by SNSU TK-BSN to that of by the manufacturer. The equation for the temperature coefficient follows the parabolic equation with an alpha coefficient of -5.30 x 10-8 Ω/Ω/°C and beta coefficient of -4.70 x 10-8 Ω/Ω/°C2, with the respective uncertainties of 2.4 x 10-8 Ω/Ω/°C and 1.6x 10-8 Ω/Ω/°C2, respectively. SNSU TK-BSN measurement results in determining the temperature coefficient in agreement with the manufacturer's measurement results show an appropriate value. This correspondence has an equivalent degree of 0.20 for the alpha temperature coefficient and 0.27 for the beta coefficient.

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25

Schindelwig, Kurt, Martin Mössner, Michael Hasler, and Werner Nachbauer. "Determination of the rolling resistance of roller skis." Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology 231, no. 1 (August 1, 2016): 50–56. http://dx.doi.org/10.1177/1754337116628719.

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The rolling resistance of skis used in roller skiing competitions should resemble the gliding resistance of cross-country skis to allow specific training and moving patterns for cross-country skiing and to guarantee equal opportunities for athletes in roller ski races. Therefore, the purpose of this work was to develop a portable rolling resistance meter to precisely measure the rolling resistance of roller skis. Measurements were based on recordings of the angular deceleration of a flywheel due to the rolling resistance between a roller ski’s wheel and the flywheel’s steel surface. Rolling resistance coefficients of four roller ski types ranged between 0.019 and 0.025. Measurements of the rolling resistance coefficient showed a precision of 1.26%. Substantial rolling resistance coefficient variations (10%) were observed for wheels of the same type. Furthermore, the rolling resistance coefficient was found to be negatively correlated with normal load or ambient temperature. The proposed rolling resistance meter is appropriate to determine the rolling resistance coefficient of roller skis’ wheels precisely.

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26

Hasanov, A. A. "DETERMINATION OF SELECTIVITY AND MASS TRANSFER IN LIQUID-PHASE EXTRACTION FOR BUTYL GLYCOL-WATER-ISOPROPYL ETHER SYSTEM." Azerbaijan Chemical Journal, no. 4 (December 12, 2020): 17–21. http://dx.doi.org/10.32737/0005-2531-2020-4-17-21.

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The problems of phase equilibrium, the equilibrium distribution of a component between phases are considered, and the distribution coefficient is determined in two versions. A formula for determining the selectivity coefficient is obtained, equations relating the compositions of coexisting phases, by equating the activities in these phases, Margules constants are found. Based on the given content of the components, the numerical values of (Margules constant for A component in solvent S) and (Margules constant for S component in solvent A) were found Using the Margules equation for ternary systems, the activity coefficients of components A and B are determined in two phases. The experimentally obtained values of the molar fractions of each of the three components, responsible to different points of the binodal curve, the corresponding activity coefficients of component B, and also calculated on these coefficients of the activity values

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27

Łągiewka, M., Z. Konopka, A. Zyska, and M. Nadolski. "Determination of Heat Accumulation Coefficient for Oil Bonded Moulding Sands." Archives of Foundry Engineering 13, no. 2 (June 1, 2013): 91–94. http://dx.doi.org/10.2478/afe-2013-0043.

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Abstract The possibility of controlling the solidification and cooling time of castings creates prospects of improving their structure and by the same their properties. Thermal properties of the mould constitute therefore an important factor which is necessary to consider while seeking for the mentioned improvement. The presented work illustrates the method of determining some basic thermal coefficients of moulding material, i.e. the coefficient of temperature equalisation a2, known also as the temperature diffusivity, and the heat accumulation coefficient b2, which characterises the ability of moulding material to draw away the heat from a casting. The method consists in experimental determining the temperature field within the mould during the processes of pouring, solidification and cooling of the casting. The performed measurements allow for convenient and exact calculations of the sought-after coefficients. Examinations were performed for the oil bonded moulding sand of trade name OBB SAND ‘E’. The experiment showed that the obtained value of b2 coefficient differs from the value calculated on the basis of theoretical considerations available in publications. Therefore it can be stated that theoretical calculations of the heat accumulation coefficient are thus far not sufficient and not quite reliable, so that these calculations should be verified experimentally.

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28

Łągiewka, M., Z. Konopka, A. Zyska, and M. Nadolski. "Determination of Heat Accumulation Coefficient for Oil Bonded Moulding Sands." Archives of Foundry Engineering 13, no. 4 (December 1, 2013): 123–26. http://dx.doi.org/10.2478/afe-2013-0095.

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Abstract The possibility of controlling the solidification and cooling time of castings creates prospects of improving their structure and by the same their properties. Thermal properties of the mould constitute therefore an important factor which is necessary to consider while seeking for the mentioned improvement. The presented work illustrates the method of determining some basic thermal coefficients of moulding material, i.e. the coefficient of temperature equalisation a2, known also as the temperature diffusivity, and the heat accumulation coefficient b2, which characterises the ability of moulding material to draw away the heat from a casting. The method consists in experimental determining the temperature field within the mould during the processes of pouring, solidification and cooling of the casting. The performed measurements allow for convenient and exact calculations of the sought-after coefficients. Examinations were performed for the oil bonded moulding sand of trade name OBB SAND ‘E’. The experiment showed that the obtained value of b2 coefficient differs from the value calculated on the basis of theoretical considerations available in publications. Therefore it can be stated that theoretical calculations of the heat accumulation coefficient are thus far not sufficient and not quite reliable, so that these calculations should be verified experimentally.

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29

Vedalakshmi, R., V. Saraswathy, Ha-Won Song, and N. Palaniswamy. "Determination of diffusion coefficient of chloride in concrete using Warburg diffusion coefficient." Corrosion Science 51, no. 6 (June 2009): 1299–307. http://dx.doi.org/10.1016/j.corsci.2009.03.017.

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30

Bogdanov, L. A., D. K. Shishkova, M. Yu Sinitsky, and A. G. Kutikhin. "Primer parameters defining efficiency and coefficient of determination in quantitative polymerase chain reaction." Complex Issues of Cardiovascular Diseases 9, no. 3 (September 28, 2020): 13–20. http://dx.doi.org/10.17802/2306-1278-2020-9-3-13-20.

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We performed a correlation analysis between primer parameters and qPCR efficiency/coefficient of determination in two independent samples from in vitro functional experiments.Primer parameters do not define qPCR efficiency and coefficient of determination significantly if primers are designed according to the optimised PRIMER-BLAST settings.Aim. To find the correlation between the primer parameters, efficiency, and coefficient of determination (R2 ) in quantitative polymerase chain reaction (qPCR) conditions.Methods. Upon RNA isolation from primary human coronary artery endothelial cells, we performed reverse transcription-qPCR (RT-qPCR) utilising SYBR Green chemistry to measure the expression of the following genes: IL1B, IL6, CXCL8, IL12A, IL23A, PECAM1, VWF, KDR, FAPA, ACTA2, SMTN, VIM, COL4A1, MMP2, SNAI2, TWIST1, ZEB1, SCARF1, CD36, LDLR, VLDLR, VCAM1, ICAM1, SELE, SELP, CDH5, IL1R1, IL1R2, TNFRSF1A, TNFRSF1B, NOS3, PXDN. Primers were designed employing Primer-BLAST software using optimised settings. For the correlation analysis, Spearman's rank correlation coefficient was applied (GraphPad Prism).Results. Coefficient of determination correlated with the primer pair rating by Beacon Designer, amplicon melting temperature, and GC content in the reverse primer. Reaction efficiency did not correlate with the Beacon Designer rating, yet being associated with length and GC content of the reverse primer. Abovementioned correlation coefficients ranged from 0.4 to 0.5 or from -0.4 to -0.5 indicative of moderate positive or negative correlation. Other parameters did not affect reaction efficiency and coefficient of determination. Conclusion Primer parameters do not define qPCR efficiency and coefficient of determination significantly if primers are designed according to the optimised PRIMER-BLAST settings.

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31

Arvanaghi, Hadi, and Vahid Azimi. "Determination of Semicircular-Trapezoidal Weir Discharge Coefficient." Agriculture Science Developments 5, no. 2 (June 1, 2016): 22–27. http://dx.doi.org/10.21828/asd-05-02-003.

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32

Ünlü, Bekir Sadık, and Enver Atik. "Determination of friction coefficient in journal bearings." Materials & Design 28, no. 3 (January 2007): 973–77. http://dx.doi.org/10.1016/j.matdes.2005.09.022.

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33

Hull, Andrew J. "Mindlin shear coefficient determination using model comparison." Journal of Sound and Vibration 294, no. 1-2 (June 2006): 125–30. http://dx.doi.org/10.1016/j.jsv.2005.10.018.

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34

Renaud, Olivier, and Maria-Pia Victoria-Feser. "A robust coefficient of determination for regression." Journal of Statistical Planning and Inference 140, no. 7 (July 2010): 1852–62. http://dx.doi.org/10.1016/j.jspi.2010.01.008.

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35

Bacchus-Montabonel, Marie-Christine, Ezinvi Baloïtcha, Michèle Desouter-Lecomte, and Nathalie Vaeck. "Rate Coefficient Determination in Charge Transfer Reactions." International Journal of Molecular Sciences 3, no. 3 (March 28, 2002): 176–89. http://dx.doi.org/10.3390/i3030176.

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36

Durham, J. L., and L. Stockburger. "Nitric acid-air diffusion coefficient: Experimental determination." Atmospheric Environment (1967) 20, no. 3 (January 1986): 559–63. http://dx.doi.org/10.1016/0004-6981(86)90098-3.

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37

Dougherty, Edward R., Seungchan Kim, and Yidong Chen. "Coefficient of determination in nonlinear signal processing." Signal Processing 80, no. 10 (October 2000): 2219–35. http://dx.doi.org/10.1016/s0165-1684(00)00079-7.

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38

Janjai, S., W. Kumharn, and J. Laksanaboonsong. "Determination of Angstrom’s turbidity coefficient over Thailand." Renewable Energy 28, no. 11 (September 2003): 1685–700. http://dx.doi.org/10.1016/s0960-1481(03)00010-7.

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39

Isaeva, O. L., M. P. Boronenko, V. I. Zelensky, and E. S. Kiseleva. "Determination of the fear coefficient by pupillograms." Journal of Physics: Conference Series 1695 (December 2020): 012062. http://dx.doi.org/10.1088/1742-6596/1695/1/012062.

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40

Chikode, Prashant P., Sachin J. Pawar, Vijay J. Fulari, and Murlidhar B. Dongre. "Determination of Diffusion Coefficient of Lactose Solution." Journal of Holography and Speckle 4, no. 1 (June 1, 2007): 11–17. http://dx.doi.org/10.1166/jhs.2007.002.

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41

Malet, J., N. Montassier, D. Boulaud, and A. Renoux. "Determination du coefficient de diffusion du 218Po." Journal of Aerosol Science 28, no. 7 (October 1997): 1359. http://dx.doi.org/10.1016/s0021-8502(97)90124-5.

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42

Spierings, D., F. Bosman, T. Peters, and F. Plasschaert. "Determination of the convective heat transfer coefficient." Dental Materials 3, no. 4 (August 1987): 161–64. http://dx.doi.org/10.1016/s0109-5641(87)80027-1.

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43

Steiger, James H., and Lawrence M. Ward. "Factor analysis and the coefficient of determination." Psychological Bulletin 101, no. 3 (1987): 471–74. http://dx.doi.org/10.1037/0033-2909.101.3.471.

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44

Fathallah, R., G. Inglebert, and L. Castex. "Determination of Shot Peening Coefficient of Restitution." Surface Engineering 19, no. 2 (April 2003): 109–13. http://dx.doi.org/10.1179/026708403225002559.

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45

Tunyagi, A., K. Kandrai, Z. Fülöp, Z. Kapusi, and A. Simon. "Friction coefficient determination by electrical resistance measurements." Physics Education 53, no. 3 (March 23, 2018): 035028. http://dx.doi.org/10.1088/1361-6552/aab308.

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46

Pathak, Pankaj, D. N. Singh, G. G. Pandit, and R. R. Rakesh. "Determination of distribution coefficient: a critical review." International Journal of Environment and Waste Management 14, no. 1 (2014): 27. http://dx.doi.org/10.1504/ijewm.2014.062980.

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47

Marin, M., C. Vaduva, M. R. Rusu, and L. Rusu. "Experimental determination of the coefficient of restitution." IOP Conference Series: Materials Science and Engineering 572 (August 2, 2019): 012103. http://dx.doi.org/10.1088/1757-899x/572/1/012103.

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48

Pal, Nabendu, and Wooi K. Lim. "Estimation of the Coefficient of Multiple Determination." Annals of the Institute of Statistical Mathematics 50, no. 4 (December 1998): 773–88. http://dx.doi.org/10.1023/a:1003769115369.

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49

Noszál, Béla, and Márta Kraszni. "Conformer-Specific Partition Coefficient: Theory and Determination." Journal of Physical Chemistry B 106, no. 5 (February 2002): 1066–68. http://dx.doi.org/10.1021/jp013823z.

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50

Lindberg, James D., Rex E. Douglass, and Dennis M. Garvey. "Absorption-coefficient-determination method for particulate materials." Applied Optics 33, no. 19 (July 1, 1994): 4314. http://dx.doi.org/10.1364/ao.33.004314.

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Journal articles on the topic 'Determination coefficient'

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