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Bibliographies thématiques / Applied Multivariate Analysis / Articles de revues

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Articles de revues sur le sujet « Applied Multivariate Analysis »

Auteur : Grafiati

Publié le 2 juin 2025

Mis à jour le 13 juillet 2025

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1

Booth, David E. "Applied Multivariate Analysis." Technometrics 45, no. 2 (2003): 174. http://dx.doi.org/10.1198/tech.2003.s135.

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2

Gray, Alison. "Applied Multivariate Analysis,." Journal of the Royal Statistical Society: Series D (The Statistician) 52, no. 4 (2003): 696. http://dx.doi.org/10.1046/j.1467-9884.2003.t01-8-00383_10.x.

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3

Haigh, John, R. A. Johnson, and D. W. Wichern. "Applied Multivariate Statistical Analysis." Mathematical Gazette 72, no. 462 (1988): 331. http://dx.doi.org/10.2307/3619964.

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4

Naik, Dayanand N., Brian S. Everitt, and Graham Dunn. "Applied Multivariate Data Analysis." Technometrics 36, no. 2 (1994): 214. http://dx.doi.org/10.2307/1270233.

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5

Ziegel, Eric R., Richard A. Johnson, and Dean W. Wichern. "Applied Multivariate Statistical Analysis." Technometrics 41, no. 1 (1999): 81. http://dx.doi.org/10.2307/1271011.

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6

Coates, Dave, Brian S. Everitt, and Graham Dunn. "Applied Multivariate Data Analysis." Journal of the Operational Research Society 45, no. 2 (1994): 237. http://dx.doi.org/10.2307/2584130.

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7

Hamer, Robert M., Brian S. Everitt, and Graham Dunn. "Applied Multivariate Date Analysis." Journal of the American Statistical Association 88, no. 423 (1993): 1173. http://dx.doi.org/10.2307/2290826.

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8

Johnson, A. R., and D. W. Wichern. "Applied Multivariate Statistical Analysis." Biometrics 44, no. 3 (1988): 920. http://dx.doi.org/10.2307/2531616.

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9

Johnson, R. A., and D. W. Wichern. "Applied Multivariate Statistical Analysis." Biometrics 54, no. 3 (1998): 1203. http://dx.doi.org/10.2307/2533879.

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10

Williams, Calvin. "Applied Multivariate Data Analysis." American Statistician 56, no. 3 (2002): 248–49. http://dx.doi.org/10.1198/tas.2002.s4.

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11

Ziegel, Eric R. "Applied Multivariate Data Analysis." Technometrics 44, no. 4 (2002): 407. http://dx.doi.org/10.1198/tech.2002.s92.

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12

Heckler, Charles E. "Applied Multivariate Statistical Analysis." Technometrics 47, no. 4 (2005): 517. http://dx.doi.org/10.1198/tech.2005.s319.

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13

Coates, Dave. "Applied Multivariate Data Analysis." Journal of the Operational Research Society 45, no. 2 (1994): 237–38. http://dx.doi.org/10.1057/jors.1994.29.

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14

Dunn, Charles. "Applied Multivariate Statistical Analysis." Technometrics 31, no. 2 (1989): 265–66. http://dx.doi.org/10.1080/00401706.1989.10488530.

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15

Naik, Dayanand N. "Applied Multivariate Data Analysis." Technometrics 36, no. 2 (1994): 213–14. http://dx.doi.org/10.1080/00401706.1994.10485768.

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16

Coad, D. S., B. S. Everitt, and G. Dunn. "Applied Multivariate Data Analysis." Statistician 42, no. 3 (1993): 325. http://dx.doi.org/10.2307/2348816.

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17

Osmond, Clive, B. S. Everitt, and G. Dunn. "Applied Multivariate Data Analysis." Journal of the Royal Statistical Society. Series A (Statistics in Society) 156, no. 3 (1993): 502. http://dx.doi.org/10.2307/2983074.

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18

Pyke, S. "Applied Multivariate Data Analysis." Journal of Epidemiology & Community Health 46, no. 6 (1992): 630. http://dx.doi.org/10.1136/jech.46.6.630-a.

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19

Verducci, Joseph S., and D. M. Hawkins. "Topics in Applied Multivariate Analysis." Technometrics 32, no. 1 (1990): 99. http://dx.doi.org/10.2307/1269857.

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20

Ventucci, Joseph S. "Topics in Applied Multivariate Analysis." Technometrics 32, no. 1 (1990): 99–100. http://dx.doi.org/10.1080/00401706.1990.10484605.

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21

SW, J. Douglas Caroll, Paul E. Green, and Anil Chaturvedi. "Mathematical Tools for Applied Multivariate Analysis." Journal of the American Statistical Association 93, no. 443 (1998): 1251. http://dx.doi.org/10.2307/2669898.

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22

Mathew, Thomas. "Mathematical Tools for Applied Multivariate Analysis." Technometrics 40, no. 3 (1998): 259. http://dx.doi.org/10.1080/00401706.1998.10485532.

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23

Nemeth, Margaret A. "Applied Multivariate Methods for Data Analysis." Technometrics 42, no. 2 (2000): 211. http://dx.doi.org/10.1080/00401706.2000.10486010.

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24

Morris, John D., and J. D. Jobson. "Applied Multivariate Data Analysis, Volume II: Categorical and Multivariate Methods." Journal of the American Statistical Association 88, no. 424 (1993): 1472. http://dx.doi.org/10.2307/2291303.

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25

Kianifard, Farid. "Applied Multivariate Data Analysis, Volume II: Categorical and Multivariate Methods." Technometrics 35, no. 3 (1993): 326–27. http://dx.doi.org/10.1080/00401706.1993.10485332.

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26

Ray, W. D., and J. D. Jobson. "Applied Multivariate Darta Analysis: Vol. 2, Categorical and Multivariate Methods." Journal of the Royal Statistical Society. Series A (Statistics in Society) 156, no. 3 (1993): 506. http://dx.doi.org/10.2307/2983080.

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27

Ohlhausen, JA. "Advanced Multivariate Analysis Tools Applied to Surface Analysis." Microscopy and Microanalysis 16, S2 (2010): 382–83. http://dx.doi.org/10.1017/s1431927610055558.

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28

Lejeune, Michel, and Tadeusz Caliński. "Canonical Analysis Applied to Multivariate Analysis of Variance." Journal of Multivariate Analysis 72, no. 1 (2000): 100–119. http://dx.doi.org/10.1006/jmva.1999.1852.

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29

Iversen, Gudmund R., David G. Kleinbaum, Lawrence L. Kupper, and Keith E. Muller. "Applied Regression Analysis and Other Multivariate Methods." Journal of the American Statistical Association 84, no. 407 (1989): 839. http://dx.doi.org/10.2307/2289682.

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30

Rudd, Timothy R., Lucio Mauri, Maria Marinozzi, et al. "Multivariate analysis applied to complex biological medicines." Faraday Discussions 218 (2019): 303–16. http://dx.doi.org/10.1039/c9fd00009g.

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Principal component analysis of <sup>13</sup>C–<sup>1</sup>H HSQC NMR spectra allows heparin from different animal sources to be differentiated, as well as spectral features that are specific to each heparin type to be identified.

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31

Jaffard, Stéphane, Stéphane Seuret, Herwig Wendt, Roberto Leonarduzzi, Stéphane Roux, and Patrice Abry. "Multivariate multifractal analysis." Applied and Computational Harmonic Analysis 46, no. 3 (2019): 653–63. http://dx.doi.org/10.1016/j.acha.2018.01.004.

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32

Langemann, Dirk, and Jürgen Prestin. "Multivariate periodic wavelet analysis." Applied and Computational Harmonic Analysis 28, no. 1 (2010): 46–66. http://dx.doi.org/10.1016/j.acha.2009.07.001.

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33

Zou, Jieling, Yin Luo, Hui Zou, Qi Xiu, and Junyan Tan. "Multivariate Statistical Analysis Applied in Wine Quality Evaluation." Advance Journal of Food Science and Technology 9, no. 3 (2015): 177–82. http://dx.doi.org/10.19026/ajfst.9.1987.

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34

Arias García, J. J., H. De Meyer, and B. De Baets. "Multivariate Bertino copulas." Journal of Mathematical Analysis and Applications 434, no. 2 (2016): 1346–64. http://dx.doi.org/10.1016/j.jmaa.2015.09.059.

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35

Syuntyurenko, O. V. "Theoretical and Applied Aspects of Automating Multivariate Analysis Procedures." Automatic Documentation and Mathematical Linguistics 52, no. 6 (2018): 275–81. http://dx.doi.org/10.3103/s0005105518060043.

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36

Paranhos, Régis Sebben, and Carlos Otávio Petter. "Multivariate data analysis applied in Hot-Mix asphalt plants." Resources, Conservation and Recycling 73 (April 2013): 1–10. http://dx.doi.org/10.1016/j.resconrec.2013.01.009.

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37

Robert, Paul, Dominique Bertrand, Marie Francoise Devaux, and Rene Grappin. "Multivariate analysis applied to near-infrared spectra of milk." Analytical Chemistry 59, no. 17 (1987): 2187–91. http://dx.doi.org/10.1021/ac00144a038.

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38

Lavine, Barry K., Charles E. Davidson, Jason Ritter, David J. Westover, and Thomas Hancewicz. "Varimax extended rotation applied to multivariate spectroscopic image analysis." Microchemical Journal 76, no. 1-2 (2004): 173–80. http://dx.doi.org/10.1016/s0026-265x(03)00159-0.

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39

Skagerberg, Bert, John F. MacGregor, and Costas Kiparissides. "Multivariate data analysis applied to low-density polyethylene reactors." Chemometrics and Intelligent Laboratory Systems 14, no. 1-3 (1992): 341–56. http://dx.doi.org/10.1016/0169-7439(92)80117-m.

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40

Cooper, D. M., and C. D. Evans. "Constrained multivariate trend analysis applied to water quality variables." Environmetrics 13, no. 1 (2002): 43–53. http://dx.doi.org/10.1002/env.504.

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41

Ziegel, Eric, and P. R. Krishnaiah. "Multivariate Analysis VI." Technometrics 28, no. 4 (1986): 404. http://dx.doi.org/10.2307/1268998.

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42

Goodall, Colin, and Albert Gifi. "Nonlinear Multivariate Analysis." Technometrics 34, no. 3 (1992): 357. http://dx.doi.org/10.2307/1270046.

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43

Qiu, Peihua, Paul Geladi, and Hans Grahn. "Multivariate Image Analysis." Technometrics 42, no. 2 (2000): 211. http://dx.doi.org/10.2307/1271464.

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44

Qu, Xianggui. "Multivariate Data Analysis." Technometrics 49, no. 1 (2007): 103–4. http://dx.doi.org/10.1198/tech.2007.s455.

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45

Flury, Bernhard, Fionn Murtagh, and Andre Heck. "Multivariate Data Analysis." Mathematics of Computation 50, no. 181 (1988): 352. http://dx.doi.org/10.2307/2007941.

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46

Zhang, Yixin, Yoshitaka Nakajima, Kazuo Ueda, Takuya Kishida, and Gerard B. Remijn. "Comparison of Multivariate Analysis Methods as Applied to English Speech." Applied Sciences 10, no. 20 (2020): 7076. http://dx.doi.org/10.3390/app10207076.

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A newly developed factor analysis, origin-shifted factor analysis, was compared with a normal factor analysis to analyze the spectral changes of English speech. Our first aim was to investigate whether these analyses would cause differences in the factor loadings and the extracted spectral-factor scores. The methods mainly differed in whether to use cepstral liftering and an origin shift. The results showed that three spectral factors were obtained in four main frequency bands, but neither the cepstral liftering nor the origin shift distorted the essential characteristics of the factors. This confirms that the origin-shifted factor analysis is more recommendable for future speech analyses, since it would reduce the generation of noise in resynthesized speech. Our second aim was to further identify acoustic correlates of English phonemes. Our data show for the first time that the distribution of obstruents in English speech constitutes an L-shape related to two spectral factors on the three-dimensional configuration. One factor had center loadings around 4100 Hz, while the other was bimodal with peaks around 300 Hz and 2300 Hz. This new finding validates the use of multivariate analyses to connect English phonology and speech acoustics.

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47

Ghaani Farashahi, Arash. "Multivariate Wave-Packet Transforms." Zeitschrift für Analysis und ihre Anwendungen 36, no. 4 (2017): 481–500. http://dx.doi.org/10.4171/zaa/1598.

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48

Singh, S. N., and Sudha Asthana. "Multivariate shift invariant operators." Journal of Mathematical Analysis and Applications 118, no. 2 (1986): 422–42. http://dx.doi.org/10.1016/0022-247x(86)90271-4.

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49

Cao, Feilong, Chunmei Ding, and Zongben Xu. "On multivariate Baskakov operator." Journal of Mathematical Analysis and Applications 307, no. 1 (2005): 274–91. http://dx.doi.org/10.1016/j.jmaa.2004.10.061.

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50

Luo, Zhongxuan, Zhaoliang Meng, and Fengshan Liu. "Multivariate Stieltjes type theorems and location of common zeros of multivariate orthogonal polynomials." Journal of Mathematical Analysis and Applications 336, no. 1 (2007): 127–39. http://dx.doi.org/10.1016/j.jmaa.2007.02.033.

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