Academic literature on the topic 'Factor analysis'

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Journal articles on the topic "Factor analysis"

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Kratochvíl, Petr. "The determination of factors in linear models of factor analysis." Applications of Mathematics 35, no. 5 (1990): 350–55. http://dx.doi.org/10.21136/am.1990.104416.

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Majumdar, Dr Kakali. "Factor Analysis and Business Research." Indian Journal of Applied Research 1, no. 6 (2011): 151–54. http://dx.doi.org/10.15373/2249555x/mar2012/52.

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Dr.G.Kalaivanan, Dr G. Kalaivanan, and B. Ussaima B.Ussaima. "Factors Attracting Children to View TV Commercials - A Study Using Factor Analysis." Indian Journal of Applied Research 4, no. 6 (2011): 71–73. http://dx.doi.org/10.15373/2249555x/june2014/21.

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Gurčík, Ľ., and V. Jančíková. "Factor analysis of owners equity effectiveness." Agricultural Economics (Zemědělská ekonomika) 48, No. 5 (2012): 229–32. http://dx.doi.org/10.17221/5308-agricecon.

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The paper shows methodical procedure and results of factor analysis of owners equity effectiveness in form of quantification and determination of analytical indicators of their pyramidal system. The analysis is realised through comparison of aggregated values of two groups of enterprises (per 30 each group) for the period 1998–2000. First group of enterprises is in the first third of soil price groups in Slovakia (cheapest soil) and the second group in the third of price group of the most expensive soil.
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Raghuvanshi, Monika. "Attitude Exploration Using Factor Analysis Technique." unibulletin 5, no. 1-2 (2016): 13–25. http://dx.doi.org/10.22521/unibulletin.2016.512.2.

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Maman, Abdurrohman, and Marsus Soffan. "Factor Analysis for Slow Budget Realization." INTERNATIONAL JOURNAL OF INNOVATION AND ECONOMIC DEVELOPMENT 3, no. 1 (2017): 28–50. http://dx.doi.org/10.18775/ijied.1849-7551-7020.2015.31.2002.

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The government of Indonesia has long experienced an uneven pattern of budget realization. Our budget realization is characterized by small absorption in the first three-quarters and then piled up in the last quarter. An increase in spending at the end of the year eventually led to the quality of work on the national economy, which is not considered optimal. Through factor analysis, the researchers reviewed what factors are causing slow realization of the budget, especially for spending unit in the working area of KPPN Jakarta II. Several studies have been conducted to determine the problem, in
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Jones, Roger. "Factor Analysis." British Journal of General Practice 68, no. 674 (2018): 403. http://dx.doi.org/10.3399/bjgp18x698417.

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Armstrong, Diane. "Factor analysis." Nursing Standard 14, no. 48 (2000): 25. http://dx.doi.org/10.7748/ns.14.48.25.s36.

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Sushmita, Rani,. "Factor Analysis:." DIU Journal of Humanities and Social Science 5, no. 1 (2017): 57–68. http://dx.doi.org/10.36481/diujhss.v.05i1.gasrn795.

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The principal purpose of this study is to identify and analyze the factors responsible for poor listening skill of Bangladeshi EFL learners.The study was conducted from 01 March 2015 to 25 May 2017. Thirty-two variables which are mostlyresponsible for poor listening skill are selected from related literature and the researcher’s own experience in teaching EFL learners. Factor analysis has been conducted to reduce the amount of the total variables, to identify the important variables and to arrange them into useful categories. SPSS 16 has been used to analyze the data collected from the primary
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Robinson, Lawrence R., Deborah E. Rubner, Patricia W. Wahl, Wilfred Y. Fujimoto, and Walter C. Stolov. "FACTOR ANALYSIS." American Journal of Physical Medicine & Rehabilitation 71, no. 1 (1992): 22–27. http://dx.doi.org/10.1097/00002060-199202000-00006.

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Dissertations / Theses on the topic "Factor analysis"

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Cheng, Wei. "Factor Analysis for Stock Performance." Link to electronic thesis, 2005. http://www.wpi.edu/Pubs/ETD/Available/etd-050405-180040/.

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Conti, Gabriella, Sylvia Frühwirth-Schnatter, James J. Heckman, and Rémi Piatek. "Bayesian exploratory factor analysis." Elsevier, 2014. http://dx.doi.org/10.1016/j.jeconom.2014.06.008.

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This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor, and the corresponding factor loadings. Classical identification criteria are applied and integrated into our Bayesian procedure to generate models that are stable and clearly interpretable. A Monte Carlo study confirms the validity of the approach. The method is used to produce interpretable low dimensional agg
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關志威 and Chi-wai Kwan. "Influential observations in factor analysis." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B29803895.

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Kwan, Chi-wai. "Influential observations in factor analysis /." Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B19003110.

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Cool, Deborah E. "Characterization of the human factor XII (Hageman factor) CDNA and the gene." Thesis, University of British Columbia, 1987. http://hdl.handle.net/2429/26980.

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A human liver cDNA library was screened by colony hybridization with two mixtures of synthetic oligodeoxyribonucleotides as probes. These oligonucleotides encoded regions of β-factor Xlla as predicted from the amino acid sequence. Four positive clones were isolated that contained DNA coding for most of factor XII mRNA. A second human liver cDNA library was screened by colony hybridization with ³²P-labeled cDNA clones obtained from the first screen and two identical clones were isolated. DNA sequence analysis of these overlapping clones showed that they contained DNA coding for the signal pepti
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Khosla, Nitin, and n/a. "Dimensionality Reduction Using Factor Analysis." Griffith University. School of Engineering, 2006. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20061010.151217.

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In many pattern recognition applications, a large number of features are extracted in order to ensure an accurate classification of unknown classes. One way to solve the problems of high dimensions is to first reduce the dimensionality of the data to a manageable size, keeping as much of the original information as possible and then feed the reduced-dimensional data into a pattern recognition system. In this situation, dimensionality reduction process becomes the pre-processing stage of the pattern recognition system. In addition to this, probablility density estimation, with fewer variables i
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Khosla, Nitin. "Dimensionality Reduction Using Factor Analysis." Thesis, Griffith University, 2006. http://hdl.handle.net/10072/366058.

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In many pattern recognition applications, a large number of features are extracted in order to ensure an accurate classification of unknown classes. One way to solve the problems of high dimensions is to first reduce the dimensionality of the data to a manageable size, keeping as much of the original information as possible and then feed the reduced-dimensional data into a pattern recognition system. In this situation, dimensionality reduction process becomes the pre-processing stage of the pattern recognition system. In addition to this, probablility density estimation, with fewer variables i
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Wang, Jing. "Analogy Between Two Approaches to Separately Identify Specific Factors in Factor Analysis." Bowling Green State University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1182784851.

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Wu, Amery Dai Ling. "Pratt's importance measures in factor analysis : a new technique for interpreting oblique factor models." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/2333.

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This dissertation introduces a new method, Pratt's measure matrix, for interpreting multidimensional oblique factor models in both exploratory and confirmatory contexts. Overall, my thesis, supported by empirical evidence, refutes the currently recommended and practiced methods for understanding an oblique factor model; that is, interpreting the pattern matrix or structure matrix alone or juxtaposing both without integrating the information. Chapter Two reviews the complexities of interpreting a multidimensional factor solution due to factor correlation (i.e., obliquity). Three major complexit
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Zhang, Guangjian. "Bootstrap procedures for dynamic factor analysis." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1153782819.

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Books on the topic "Factor analysis"

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Bánkövi, Gy. Dynamic factor analysis. Karl Marx University of Economics, Dept. of Mathematics and Computer Sciences, 1986.

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Theodore, Wegener Duane, ed. Exploratory factor analysis. Oxford University Press, 2012.

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Malinowski, Edmund R. Factor analysis in chemistry. 2nd ed. Wiley, 1991.

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Mulaik, Stanley A. Foundations of factor analysis. 2nd ed. Chapman & Hall/CRC, 2010.

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Malinowski, Edmund R. Factor analysis in chemistry. R.E. Krieger Pub. Co., 1989.

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S, Lewis-Beck Michael, ed. Factor analysis and related techniques. Sage, 1994.

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Yadav, Rohit. How to Use Factor Analysis. SAGE Publications Ltd, 2024. http://dx.doi.org/10.4135/9781529684711.

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Bartholomew, David J. Latent variable models and factor analysis. 2nd ed. Arnold, 1999.

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Bartholomew, David J. Latent variable models and factor analysis. C. Griffin, 1987.

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Bartholomew, David, Martin Knott, and Irini Moustaki. Latent Variable Models and Factor Analysis. John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119970583.

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Book chapters on the topic "Factor analysis"

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Backhaus, Klaus, Bernd Erichson, Sonja Gensler, Rolf Weiber, and Thomas Weiber. "Factor Analysis." In Multivariate Analysis. Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-40411-6_7.

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Backhaus, Klaus, Bernd Erichson, Sonja Gensler, Rolf Weiber, and Thomas Weiber. "Factor Analysis." In Multivariate Analysis. Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-32589-3_7.

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Sarstedt, Marko, and Erik Mooi. "Factor Analysis." In Springer Texts in Business and Economics. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-53965-7_8.

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Cleff, Thomas. "Factor Analysis." In Applied Statistics and Multivariate Data Analysis for Business and Economics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17767-6_13.

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Härdle, Wolfgang Karl, and Zdeněk Hlávka. "Factor Analysis." In Multivariate Statistics. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-36005-3_12.

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Acton, Ciaran, Robert Miller, John Maltby, and Deirdre Fullerton. "Factor Analysis." In SPSS for Social Scientists. Macmillan Education UK, 2009. http://dx.doi.org/10.1007/978-1-137-01390-3_11.

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Miller, Robert L., Ciaran Acton, Deirdre A. Fullerton, John Maltby, and Jo Campling. "Factor Analysis." In SPSS for Social Scientists. Macmillan Education UK, 2002. http://dx.doi.org/10.1007/978-0-230-62968-4_10.

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Franzen, Michael D. "Factor Analysis." In Encyclopedia of Clinical Neuropsychology. Springer New York, 2011. http://dx.doi.org/10.1007/978-0-387-79948-3_1195.

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Härdle, Wolfgang, and Léopold Simar. "Factor Analysis." In Applied Multivariate Statistical Analysis. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05802-2_10.

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Franzen, Michael. "Factor Analysis." In Encyclopedia of Clinical Neuropsychology. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56782-2_1195-2.

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Conference papers on the topic "Factor analysis"

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Wang, Linyang, Wanquan Liu, and Bin Zhu. "ADMM for $\ell_{0}$ Factor Analysis." In 2024 IEEE 13th Sensor Array and Multichannel Signal Processing Workshop (SAM). IEEE, 2024. http://dx.doi.org/10.1109/sam60225.2024.10636465.

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Wang, Linyang, Wanquan Liu та Bin Zhu. "ℓ0 Factor Analysis". У 2024 IEEE 63rd Conference on Decision and Control (CDC). IEEE, 2024. https://doi.org/10.1109/cdc56724.2024.10886795.

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Koe, W. L., N. M. Nordin, N. H. Marmaya, and R. Othman. "Factors influencing technopreneurial intention: A confirmatory factor analysis." In PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON COMPUTING AND APPLIED INFORMATICS 2022. AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0181864.

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Vargas, Francisco, Kamen Brestnichki, Alex Papadopoulos Korfiatis, and Nils Hammerla. "Multilingual Factor Analysis." In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/p19-1170.

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Yilmaz, Yasin, and Alfred O. Hero. "Multimodal factor analysis." In 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 2015. http://dx.doi.org/10.1109/mlsp.2015.7324340.

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Thaker, Khushboo, Paulo Carvalho, and Kenneth Koedinger. "Comprehension Factor Analysis." In LAK19: The 9th International Learning Analytics & Knowledge Conference. ACM, 2019. http://dx.doi.org/10.1145/3303772.3303817.

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ZENG, Huilu, Zhinong LI, and Zewen ZHOU. "Comparative Study of Complex Parallel Factor Analysis and Parallel Factor Analysis." In 2019 Prognostics and System Health Management Conference (PHM-Qingdao). IEEE, 2019. http://dx.doi.org/10.1109/phm-qingdao46334.2019.8942968.

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Melgaard, D. K., A. J. Scholand, and K. W. Larson. "Scene kinetics mitigation using factor analysis with derivative factors." In SPIE Optical Engineering + Applications, edited by Andrew G. Tescher. SPIE, 2010. http://dx.doi.org/10.1117/12.863950.

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Calvino, Aida, Palmira Aldeguer, and Josep Domingo-Ferrer. "Factor Analysis for Anonymization." In 2017 IEEE International Conference on Data Mining Workshops (ICDMW). IEEE, 2017. http://dx.doi.org/10.1109/icdmw.2017.139.

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Manning, Jeremy R., Rajesh Ranganath, Waitsang Keung, et al. "Hierarchical topographic factor analysis." In 2014 International Workshop on Pattern Recognition in Neuroimaging (PRNI). IEEE, 2014. http://dx.doi.org/10.1109/prni.2014.6858530.

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Reports on the topic "Factor analysis"

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Piatek, Rémi, Gabriella Conti, James Heckman, and Sylvia Frühwirth-Schnatter. Bayesian exploratory factor analysis. Cemmap, 2014. http://dx.doi.org/10.1920/wp.cem.2014.3014.

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Electrotek Concepts. Industrial Power Factor Analysis Guidebook. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/654078.

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Gibbons, Robert D., Donald R. Hedeker, and R. D. Bock. Full-Information Item Bi-Factor Analysis. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada229346.

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M. Wasiolek. NOMINAL PERFORMANCE BIOSPHERE DOSE CONVERSION FACTOR ANALYSIS. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/883410.

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Wasiolek, M. A. Nominal Performance Biosphere Dose Conversion Factor Analysis. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/836521.

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Wasiolek, Maryla. Nominal Performance Biosphere Dose Conversion Factor Analysis. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/837095.

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M. Wasiolek. Disruptive Event Biosphere Doser Conversion Factor Analysis. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/837096.

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M. Wasiolek. Nominal Performance Biosphere Dose Conversion Factor Analysis. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/838324.

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M. Wasiolek. Disruptive Event Biosphere Dose Conversion Factor Analysis. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/838325.

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Nadiri, M. Ishaq, and Ingmar Prucha. Dynamic Factor Demand Models and Productivity Analysis. National Bureau of Economic Research, 1999. http://dx.doi.org/10.3386/w7079.

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