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Articoli di riviste sul tema "Multilevel analysis"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 11 marzo 2023

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1

Augusto Arbugeri, Cesar, Tiago Kommers Jappe, Telles Brunelli Lazzarin, Domingo A. Ruiz-Caballero, Reynaldo R. Astudillo, Luis Martinez e Samir Ahmad Mussa. "Asymetrical Multilevel Hybrid Inverter - Analysis And Experimentation". Eletrônica de Potência 24, n. 3 (30 settembre 2019): 296–305. http://dx.doi.org/10.18618/rep.2019.3.0031.

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2

Le Borne, Sabine. "Multilevel Hierarchical Matrices". SIAM Journal on Matrix Analysis and Applications 28, n. 3 (gennaio 2006): 871–89. http://dx.doi.org/10.1137/040607964.

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3

van den Eeden, Pieter, e Joop J. Hox. "Introduction - Multilevel Analysis". Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique 51, n. 1 (giugno 1996): 5–9. http://dx.doi.org/10.1177/075910639605100101.

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4

Zhang, Weihua, Jiaxin Li, Yi Li e Haibo Chen. "Multilevel Phase Analysis". ACM Transactions on Embedded Computing Systems 14, n. 2 (25 marzo 2015): 1–29. http://dx.doi.org/10.1145/2629594.

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5

Caldwell, Alex B. "Simultaneous multilevel analysis." American Psychologist 49, n. 2 (1994): 144–45. http://dx.doi.org/10.1037/0003-066x.49.2.144.

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6

HOX, JOOP J., e ITA G. G. KREFT. "Multilevel Analysis Methods". Sociological Methods & Research 22, n. 3 (febbraio 1994): 283–99. http://dx.doi.org/10.1177/0049124194022003001.

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7

Blau, Peter M. "Multilevel structural analysis". Social Networks 15, n. 2 (giugno 1993): 201–15. http://dx.doi.org/10.1016/0378-8733(93)90005-6.

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8

Timmerman, Marieke E. "Multilevel component analysis". British Journal of Mathematical and Statistical Psychology 59, n. 2 (novembre 2006): 301–20. http://dx.doi.org/10.1348/000711005x67599.

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9

Kehl, René, Reinhard Nabben e Daniel B. Szyld. "Adaptive Multilevel Krylov Methods". ETNA - Electronic Transactions on Numerical Analysis 51 (2019): 512–28. http://dx.doi.org/10.1553/etna_vol51s512.

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10

Kuo, C. C. Jay, Tony F. Chan e Charles Tong. "Multilevel Filtering Elliptic Preconditioners". SIAM Journal on Matrix Analysis and Applications 11, n. 3 (luglio 1990): 403–29. http://dx.doi.org/10.1137/0611029.

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11

Diaz, J. C., e K. Komara. "Incomplete Multilevel Cholesky Factorizations". SIAM Journal on Matrix Analysis and Applications 22, n. 3 (gennaio 2001): 895–911. http://dx.doi.org/10.1137/s0895479896311128.

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12

Ahmed, Wondimu. "Motivation and Self-Regulated Learning: A Multivariate Multilevel Analysis". International Journal of Psychology and Educational Studies 4, n. 3 (1 settembre 2017): 1–11. http://dx.doi.org/10.17220/ijpes.2017.03.001.

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13

Yamana, Hayato. "Introduction to Multilevel Analysis". Annals of Clinical Epidemiology 3, n. 1 (2021): 5–9. http://dx.doi.org/10.37737/ace.3.1_5.

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14

Muthén, Bengt, e Tihomir Asparouhov. "Multilevel regression mixture analysis". Journal of the Royal Statistical Society: Series A (Statistics in Society) 172, n. 3 (giugno 2009): 639–57. http://dx.doi.org/10.1111/j.1467-985x.2009.00589.x.

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15

Leckie, George. "Handbook of Multilevel Analysis". Journal of the Royal Statistical Society: Series A (Statistics in Society) 172, n. 3 (giugno 2009): 694–95. http://dx.doi.org/10.1111/j.1467-985x.2009.00595_3.x.

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16

Serban, Nicoleta, e Huijing Jiang. "Multilevel Functional Clustering Analysis". Biometrics 68, n. 3 (7 febbraio 2012): 805–14. http://dx.doi.org/10.1111/j.1541-0420.2011.01714.x.

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17

MUTHÉN, BENGT O. "Multilevel Covariance Structure Analysis". Sociological Methods & Research 22, n. 3 (febbraio 1994): 376–98. http://dx.doi.org/10.1177/0049124194022003006.

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18

Nguyen, Duc T. "Multilevel substructuring sensitivity analysis". Computers & Structures 25, n. 2 (gennaio 1987): 191–202. http://dx.doi.org/10.1016/0045-7949(87)90142-8.

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19

Hutchison, Dougal. "Handbook of multilevel analysis". Journal of Applied Statistics 37, n. 8 (agosto 2010): 1417–18. http://dx.doi.org/10.1080/02664760902899741.

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20

George, Alan, Wei-Pai Tang e Ya Dan Wu. "Multilevel One-Way Dissection Factorization". SIAM Journal on Matrix Analysis and Applications 22, n. 3 (gennaio 2001): 752–71. http://dx.doi.org/10.1137/s0895479898332564.

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21

Shende, Ms Komal, Dr HariKumar Naidu e Prof Vaishali Pawade. "Performance Analysis of Higher Order Cascaded H-Bridge Multilevel Inverters". International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (30 giugno 2018): 1850–56. http://dx.doi.org/10.31142/ijtsrd14456.

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22

de Noord, Onno E., e Eugene H. Theobald. "Multilevel component analysis and multilevel PLS of chemical process data". Journal of Chemometrics 19, n. 5-7 (maggio 2005): 301–7. http://dx.doi.org/10.1002/cem.933.

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23

Maas, Cora J. M., Gerty J. L. M. Lensvelt-Mulders e Joop J. Hox. "A Multilevel Multitrait-Multimethod Analysis". Methodology 5, n. 3 (gennaio 2009): 72–77. http://dx.doi.org/10.1027/1614-2241.5.3.72.

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Abstract (sommario):

The classical multitrait-multimethod (MTMM) matrix can be viewed as a two-dimensional cross-classification of traits and methods. Beside commonly used analysis methods such as structural equation modeling and generalizability theory, multilevel analysis offers attractive possibilities. If the focus is only on analyzing classical MTMM data, the multilevel approach has no surplus value, because the resulting model is equivalent to a confirmatory factor model with additional restrictions imposed by the multilevel parameterization. However, if the data contain further complexities, such as additional information on the traits or persons, multilevel analysis of MTMM data offers a flexible analysis tool with more possibilities than the other approaches.

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24

Buchholz, Peter. "Multilevel Solutions for Structured Markov Chains". SIAM Journal on Matrix Analysis and Applications 22, n. 2 (gennaio 2000): 342–57. http://dx.doi.org/10.1137/s0895479898342419.

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25

Axelsson, O., e P. S. Vassilevski. "Algebraic Multilevel Preconditioning Methods, II". SIAM Journal on Numerical Analysis 27, n. 6 (dicembre 1990): 1569–90. http://dx.doi.org/10.1137/0727092.

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26

Hwang, Heungsun, Yoshio Takane e Naresh Malhotra. "Multilevel Generalized Structured Component Analysis". Behaviormetrika 34, n. 2 (luglio 2007): 95–109. http://dx.doi.org/10.2333/bhmk.34.95.

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27

Leckie, George. "Handbook of Advanced Multilevel Analysis". Journal of the Royal Statistical Society: Series A (Statistics in Society) 174, n. 3 (luglio 2011): 844–45. http://dx.doi.org/10.1111/j.1467-985x.2011.00709_6.x.

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28

Longford, N. "Multilevel analysis with messy data". Statistical Methods in Medical Research 10, n. 6 (1 dicembre 2001): 429–44. http://dx.doi.org/10.1191/096228001682157643.

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29

Robinson, Timothy J. "Multilevel Analysis: Techniques and Applications". Journal of the American Statistical Association 98, n. 462 (giugno 2003): 496. http://dx.doi.org/10.1198/jasa.2003.s281.

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30

Longford, N. T. "Multilevel analysis with messy data". Statistical Methods in Medical Research 10, n. 6 (dicembre 2001): 429–44. http://dx.doi.org/10.1177/096228020101000605.

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31

Watson, Carl B., Martin M. Chemers e Natalya Preiser. "Collective Efficacy: A Multilevel Analysis". Personality and Social Psychology Bulletin 27, n. 8 (agosto 2001): 1057–68. http://dx.doi.org/10.1177/0146167201278012.

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32

Diez Roux, A. V. "A glossary for multilevel analysis". Journal of Epidemiology & Community Health 56, n. 8 (1 agosto 2002): 588–94. http://dx.doi.org/10.1136/jech.56.8.588.

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33

Di, Chong-Zhi, Ciprian M. Crainiceanu, Brian S. Caffo e Naresh M. Punjabi. "Multilevel functional principal component analysis". Annals of Applied Statistics 3, n. 1 (marzo 2009): 458–88. http://dx.doi.org/10.1214/08-aoas206.

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34

van Oyen, Herman. "Multilevel analysis of survey data". International Journal of Public Health 54, n. 3 (maggio 2009): 129–30. http://dx.doi.org/10.1007/s00038-009-7075-z.

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35

Diez Roux, Ana V., e Allison E. Aiello. "Multilevel Analysis of Infectious Diseases". Journal of Infectious Diseases 191, s1 (febbraio 2005): S25—S33. http://dx.doi.org/10.1086/425288.

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36

Kersten, Astrid. "Multilevel Analysis in Critical Research". Annals of the International Communication Association 10, n. 1 (gennaio 1987): 709–29. http://dx.doi.org/10.1080/23808985.1987.11678670.

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37

Ceulemans, Eva, Mia Hubert e Peter Rousseeuw. "Robust multilevel simultaneous component analysis". Chemometrics and Intelligent Laboratory Systems 129 (novembre 2013): 33–39. http://dx.doi.org/10.1016/j.chemolab.2013.06.016.

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38

Beard, John R. "New Approaches to Multilevel Analysis". Journal of Urban Health 85, n. 6 (16 settembre 2008): 805–6. http://dx.doi.org/10.1007/s11524-008-9314-7.

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39

Beard, John R. "New Approaches to Multilevel Analysis". Journal of Urban Health 86, n. 2 (23 gennaio 2009): 280. http://dx.doi.org/10.1007/s11524-009-9342-y.

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40

Caron, Pier-Olivier. "Multilevel analysis of matching behavior". Journal of the Experimental Analysis of Behavior 111, n. 2 (13 febbraio 2019): 183–91. http://dx.doi.org/10.1002/jeab.510.

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41

Chiu, Ming Ming, e Carly A. Roberts. "Improved analyses of single cases: Dynamic multilevel analysis". Developmental Neurorehabilitation 21, n. 4 (10 febbraio 2016): 253–65. http://dx.doi.org/10.3109/17518423.2015.1119904.

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42

BANAEI, M. R., e E. SALARY. "ANALYSIS OF A GENERALIZED SYMMETRICAL MULTILEVEL INVERTER". Journal of Circuits, Systems and Computers 20, n. 02 (aprile 2011): 299–311. http://dx.doi.org/10.1142/s0218126611007268.

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Abstract (sommario):

The cascade multilevel converter requires the least number of main components among traditional multilevel converter. In this paper, comparison of main components between proposed and traditional converter is shown. In addition, a generalized symmetrical multilevel inverter is proposed. The proposed multilevel inverter can generate DC voltage levels similar to other topologies with less number of components. The proposed topology results in reduction of installation area and cost and has simplicity of control system. This converter has been used in an AC drive system. The operation and performance of the proposed generalized multilevel converter has been verified by the simulation results using SIMULINK/MATLAB. The simulation results show its capability in voltage generation and speed control.

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43

Leung, A. Y. T. "Multilevel dynamic substructures". International Journal for Numerical Methods in Engineering 28, n. 1 (gennaio 1989): 181–91. http://dx.doi.org/10.1002/nme.1620280113.

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44

Bollhöfer, Matthias, e Volker Mehrmann. "Algebraic Multilevel Methods and Sparse Approximate Inverses". SIAM Journal on Matrix Analysis and Applications 24, n. 1 (gennaio 2002): 191–218. http://dx.doi.org/10.1137/s0895479899364441.

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45

Hoppe, R. H. W., e R. Kornhuber. "Adaptive Multilevel Methods for Obstacle Problems". SIAM Journal on Numerical Analysis 31, n. 2 (aprile 1994): 301–23. http://dx.doi.org/10.1137/0731016.

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46

Coromina, Lluís, Germà Coenders e Tina Kogovšek. "Multilevel multitrait multimethod model". Advances in Methodology and Statistics 1, n. 2 (1 luglio 2004): 323–49. http://dx.doi.org/10.51936/ukft4267.

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Abstract (sommario):

Our goal in this paper is to assess reliability and validity of egocentered network data using multilevel analysis (Muthén, 1989, Hox, 1993) under the multitrait-multimethod approach. The confirmatory factor analysis model for multitrait-multimethod data (Werts & Linn, 1970; Andrews, 1984) is used for our analyses. In this study we reanalyse a part of data of another study (Kogovšek et al., 2002) done on a representative sample of the inhabitants of Ljubljana. The traits used in our article are the name interpreters. We consider egocentered network data as hierarchical; therefore a multilevel analysis is required. We use Muthén’s partial maximum likelihood approach, called pseudobalanced solution (Muthén, 1989, 1990, 1994) which produces estimations close to maximum likelihood for large ego sample sizes (Hox & Mass, 2001). Several analyses will be done in order to compare this multilevel analysis to classic methods of analysis such as the ones made in Kogovšek et al. (2002), who analysed the data only at group (ego) level considering averages of all alters within the ego. We show that some of the results obtained by classic methods are biased and that multilevel analysis provides more detailed information that much enriches the interpretation of reliability and validity of hierarchical data. Within and between-ego reliabilities and validities and other related quality measures are defined, computed and interpreted.

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47

Vacca, Raffaele. "Ego-networks analysis with R (IV). Multilevel analysis". Redes. Revista hispana para el análisis de redes sociales 32, n. 1 (9 gennaio 2021): 96. http://dx.doi.org/10.5565/rev/redes.911.

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48

Stawski, Robert S. "Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling (2nd Edition)". Structural Equation Modeling: A Multidisciplinary Journal 20, n. 3 (1 luglio 2013): 541–50. http://dx.doi.org/10.1080/10705511.2013.797841.

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49

M. Chandrasekhar, K. Bhaskar,. "Multilevel Converter based System Fault Analysis". Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, n. 5 (11 aprile 2021): 674–83. http://dx.doi.org/10.17762/turcomat.v12i5.1468.

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Abstract (sommario):

Direct Current deficiency security is the procedure to improve the Direct current system distribution, transmission structure in this review paper examinations the transitory attributes of Direct current responsibilities in a particular (MMC) staggered converter based Direct current the system connection with a numerical technique. Then, loads are reproduction like pretending by using on MATLAB/Simulink has been done by testing the exactness for the hypothetical examination. At last, the mechanical troubles of and necessities for the assurance and confinement are talked about to give the hypothetical establishment to the structure of direct current flaw insurance system.

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50

Gonçalves, Maria Jacirema Ferreira, Antonio Carlos Ponce de Leon e Maria Lúcia Fernandes Penna. "A multilevel analysis of tuberculosisassociated factors". Revista de Salud Pública 11, n. 6 (dicembre 2009): 918–30. http://dx.doi.org/10.1590/s0124-00642009000600008.

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