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Relevant bibliographies by topics / Factor Analysi

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Academic literature on the topic 'Factor Analysi'

Author: Grafiati

Published: 9 March 2023

Last updated: 31 July 2025

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Journal articles on the topic "Factor Analysi"

1

Han, Woo Shin, and Jeong Wook Choi. "A Study on the Type of Women's Body In their early 20s in China: Focused on the Residents in Shanghai." Institute of Art & Design Research 26, no. 2 (2023): 153–60. http://dx.doi.org/10.59386/jadr.2023.26.2.153.

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This study is to categorize the body types of Chinese w omen in their twenties based on their morphology and pr ovide basic data that can be used for Korean clothing co mpanies. Human body size data were directly measured o n 600 women in their twenties residing in Shanghai, Chi na from January 2020 to September 2023. The human bo dy measurement items include 9 perimeter items and 10 length items, measuring a total of 19 items. In order to extract factors that can analyze body shape, factor analysi s was conducted and two factors were identified. Factor 1 is “perimeter and width”, and factor 2

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Erawati, Teguh, and Sisilia Stefani Wuarlela. "Ukuran Perusahaan, Profitabilitas, Likuiditas, Pertumbuhan Laba Dan Kualitas Laba Pada Perusahaan Pertambangan Di Indonesia." Jurnal Literasi Akuntansi 2, no. 2 (2022): 157–66. http://dx.doi.org/10.55587/jla.v2i2.62.

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Purpose: This study aims to prove the effect of firm size ,profitability, liquidity and earnings growth on earnings quality.the research sample is mining companies listed on the indonesia stck exchange (IDX) in 2017-2020 using purposive sampling. Method: sampling used sampling method and produced 80 sample data. Data analysi technques wit multiple linier analysis Finding: this study shows that firm size has no significant effect on earnings quality,profitability has a significant effect on earnings quality,liquidity has asignificant offect on earnings quality and earning rowth has no significa

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Erawati, Teguh, and Sisilia Stefani Wuarlela. "Ukuran Perusahaan, Profitabilitas, Likuiditas, Pertumbuhan Laba Dan Kualitas Laba Pada Perusahaan Pertambangan Di Indonesia." Jurnal Literasi Akuntansi 2, no. 2 (2022): 157–66. http://dx.doi.org/10.55587/jla.v2i2.62.

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Purpose: This study aims to prove the effect of firm size ,profitability, liquidity and earnings growth on earnings quality.the research sample is mining companies listed on the indonesia stck exchange (IDX) in 2017-2020 using purposive sampling. Method: sampling used sampling method and produced 80 sample data. Data analysi technques wit multiple linier analysis Finding: this study shows that firm size has no significant effect on earnings quality,profitability has a significant effect on earnings quality,liquidity has asignificant offect on earnings quality and earning rowth has no significa

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Devica, Sadana. "PERSEPSI KONSUMEN TERHADAP FLASH SALE BELANJA ONLINE DAN PENGARUHNYA PADA KEPUTUSAN PEMBELIAN." Jurnal Bisnis Terapan 4, no. 1 (2020): 47–56. http://dx.doi.org/10.24123/jbt.v4i1.2276.

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Penelitian ini bertujuan untuk mengetahui bagaimana persepsi konsumen terhadap program promosi dalam bentuk flash sale dan bagaimana pengaruhnya tehadap keputusan pembelian. Penelitian ini dilakukan pada 145 orang responden, sedangkan untuk teknik analisis data menggunakan confirmatory factor analysi (CFA) dan analisis regresi. Terdapat tujuh indikator persepsi konsumen yang diteliti, meliputi flash sale belanja online merupakan kesepakatan harga yang sangat menguntungkan konsumen, flash sale belanja online benar-benar menawarkan harga produk yang murah, produk yang ditawarkan pada saat flash

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Shageev, D. A., and O. G. Markin. "Development of the technique for selecting effective projects based on the modified AHP through the expansion of the criteria base and the apparatus of mathematical statistics." Proceedings of the Voronezh State University of Engineering Technologies 84, no. 3 (2023): 368–79. http://dx.doi.org/10.20914/2310-1202-2022-3-368-379.

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The author continues a series of publications in the subject area of the first generation modifications of the Analytic Hierarchy Process (AHP) method for the effective project selection technique. The long term aim of the research is to develop this technique to the qualitatively new and universal states to be further transformed into methodology. The research results are presented. A new concept of “Supermarket” extends the criteria basis of the core in the technique providing a possibility to take into account conventionally unlimited number of any criteria in multilevel hierarchy. The firs

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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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Budi S, Surawan Setya. "PENGARUH INPUT PROSES RELATIONSHIP MARKETING TERHADAP OUTPUT PROSES RELATIONSHIP MARKETING." Kajian Bisnis STIE Widya Wiwaha 27, no. 2 (2019): 190–206. http://dx.doi.org/10.32477/jkb.v27i2.349.

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This research use relationship marketing teory which applied 4 factor of input process understanding customer expectations, building service partnerships, empowiring employers, and total quality management, and output relationship marketing process: customer satisfaction and customer layalty. The objective of this research is to find out wich factors of input process that has more impact on the output process in relationship marketing. There are 60 trusted correspondencea from Grand Inna Malioboro Hotel customer whom at least have been stayed at the hotel three times. The method of collecting

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S, Surawan Setya Budi. "PENGARUH INPUT PROSES RELATIONSHIP MARKETING TERHADAP OUTPUT PROSES RELATIONSHIP MARKETING STUDI KASUS GRAND INNA MALIOBORO HOTEL & CONVENTION." Kajian Bisnis Sekolah Tinggi Ilmu Ekonomi Widya Wiwaha 27, no. 2 (2019): 190–206. http://dx.doi.org/10.32477/jkb.v27i2.62.

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This research use relationship marketing teory which applied 4 factor of input process understanding customer expectations, building service partnerships,empowiring employers, and total quality management, and output relationship marketing process: customer satisfaction and customer layalty. The objective of this research is to find out wich factors of input process that has more impact on the output process in relationship marketing. There are 60 trusted correspondencea from Grand Inna Malioboro Hotel customer whom at least have been stayed at the hotel three times. The method of collecting d

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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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Pattnaik, Sudhanshu. "An Empirical Investigation into the Factors Influencing While Purchasing Car in India-A Confirmatory Factor Analysis." Journal of Advanced Research in Dynamical and Control Systems 11, no. 10-SPECIAL ISSUE (2019): 404–10. http://dx.doi.org/10.5373/jardcs/v11sp10/20192821.

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Dissertations / Theses on the topic "Factor Analysi"

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OPERTI, VALERIO. "Travellers¿ Preferences and Attitudes to understand Travel Behaviour and define Market Segmentation." Doctoral thesis, Politecnico di Torino, 2019. http://hdl.handle.net/11583/2739920.

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SCOZZA, EMILIANO. "Absolute risk analysis applied to contaminated sites." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2009. http://hdl.handle.net/2108/1106.

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Lo strumento “Analisi di Rischio” per la valutazione dei siti contaminati è in uso da alcune decine di anni ed ha ricevuto un forte impulso negli USA con il Programma Superfund ed in Europa con l’emergere del problema del risanamento di un numero molto ampio di siti e con l’avvio di programmi di collaborazione internazionale. La procedura di analisi di rischio può essere condotta in modalità diretta (forward mode) o inversa (backward mode). La modalità diretta permette di stimare il rischio sanitario per il recettore esposto, sia posto in prossimità del sito (on-site) che ad una certa distanz

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GIOVANNELLI, ALESSANDRO. "Nonlinear forecasting using a large number of predictors." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2010. http://hdl.handle.net/2108/1333.

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L’obiettivo principale di questa tesi è di introdurre un modello non lineare, “Feedforward Neural Network-Dynamic Factor” (FNN-DF), per la previsione di serie macroeconomiche utilizzando un numero elevato di variabili. La tecnica usata per riassumere le variabili in un piccolo numero di fattori è il “Generalized Dynamic Factor Model” (GDFM), mentre le reti neurali di tipo “Feedforward” sono utilizzate per rappresentare la non-linearità. Comunemente nella letteratura del GDFM, le previsioni sono effettuate con modelli lineari. Tuttavia tali tecniche spesso non sono correttamente specificate e l

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COMOTTI, ANNA. "Assessing psychometric scales through IRT-based modelling with application to COVID-19 data." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2022. http://hdl.handle.net/10281/365350.

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In ambito psicometrico, un tratto latente è una caratteristica non osservabile di un individuo. Per misurare tale tratto si ricorre comunemente all’uso di questionari che attraverso le risposte ad una serie di domande produce un punteggio totale indicativo di tale tratto latente. Il punto di partenza di questo lavoro è stata l’analisi di dati raccolti tra operatori sanitari di un grosso ospedale di Milano che hanno affrontato la pandemia COVID-19 e il cui benessere psicologico è stato valutato attraverso scale validate (GHQ-12, IES-r, GAD-7). In questo contesto, la Teoria Classica dei Test (T

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GRATTON, PAOLO. "Phylogeography and conservation genetics of parnassius mnemosyne l. : 1758 (lepidoptera, papilionidae)." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2005. http://hdl.handle.net/2108/202665.

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Il presente lavoro ha l’obiettivo di fornire una base di informazioni sulle relazioni tra la distribuzione spaziale e la variazione genetica in popolazioni del lepidottero Parnassius mnemosyne. Un totale di 172 individui provenienti da 58 località, rappresentative dell’intero areale della specie, sono stati caratterizzati per le sequenze di due geni mitocondriali (COI e ND5) e un gene nucleare (EF-1α). Un campione di 397 individui da 16 località italiane (Alpi centro-orientali, Appennino Centrale e Sicilia) è stato analizzato impiegando 5 loci microsatellite appositamente sviluppati. I risu

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RONCALLO, LUCA. "Evolutionary spectral model for thunderstorm outflows and application to the analysis of the dynamic response of structures." Doctoral thesis, Università degli studi di Genova, 2022. http://hdl.handle.net/11567/1080956.

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Thunderstorms are destructive phenomena at the mesoscale with extension of few kilometres and short duration, potentially dangerous for mid-low structures. The nonstationary nature of the wind field generated by thunderstorm outflows makes most of the theory and models developed for extra-tropical cyclones unsuitable and their small extension make them difficult to be detected by one single anemometer. These circumstances prevent the collection of precious data over which research can be carried out and the development of robust models for rapid engineering calculations shared by the scientifi

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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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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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POMA, GIULIA. "Evaluation of bioaccumulation processes of brominated flame retardants in biotic matrices." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2014. http://hdl.handle.net/10281/50902.

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The global reduction in the use of PBDEs and HBCD as flame retardants has opened the way for the introduction of “Novel” BFRs (NBFRs) in place of the banned formulations, indicating those BFRs that are new in the market or newly/recently observed in the environment in respect to PBDEs and HBCD. Consequently, consumption and production of these NBFRs will keep rising, and increasing environmental levels of these chemicals are expected in the near future. Important representatives of this group are decabromodiphenyl ethane (DBDPE), 1,2-bis(2,4,6-tribromophenoxy) ethane (BTBPE), hexabromobenzene

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Karimi, Mahdad. "Functional analysis of the -308G/A polymorphism in the tumour necrosis factor promoter." University of Western Australia. School of Biomedical, Biomolecular and Chemical Sciences, 2007. http://theses.library.uwa.edu.au/adt-WU2007.0140.

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[Truncated abstract] Tumor Necrosis Factor (TNF) is a potent pro-inflammatory cytokine involved in a range of biological functions including the differentiation, proliferation and survival of many cell types. The TNF gene lies in the class III region of the major histocompatibility complex (MHC), approximately 250 Kbp centromeric of the HLA-B locus and 850 Kbp telomeric of HLA-DR. Due to the genomic location and biological relevance of TNF, it is thought that genetic heterogeneity at this locus may be associated with autoimmune and infectious diseases. A G-to-A single nucleotide polymorphism (

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Books on the topic "Factor Analysi"

1

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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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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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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Loehlin, John C. Latent variable models: An introduction to factor, path, and structural analysis. 2nd ed. Lawrence Erlbaum Associates, 1992.

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Loehlin, John C. Latent variable models: An introduction to factor, path, and structural analysis. L. Erlbaum Associates, 1987.

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

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Book chapters on the topic "Factor Analysi"

1

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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Lovik, Anikó, Vahid Nassiri, Geert Verbeke, and Geert Molenberghs. "Combining Factors from Different Factor Analyses Based on Factor Congruence." In Springer Proceedings in Mathematics & Statistics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77249-3_18.

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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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Conference papers on the topic "Factor Analysi"

1

Wang, Zhenjie. "Factors Influencing the Profitability and Loss of Chinese Insurance Companies Based on Factor Analysis." In International Conference on Data Science and Engineering. SCITEPRESS - Science and Technology Publications, 2024. http://dx.doi.org/10.5220/0012821800004547.

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Yang, Zhiguo, and Ying Cui. "Analysis of Influencing Factors and Prediction of Kinetic Energy of Tennis Based on Factor Analysis and LSTM Model." In 2024 International Conference on Telecommunications and Power Electronics (TELEPE). IEEE, 2024. http://dx.doi.org/10.1109/telepe64216.2024.00023.

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Nawani, Akshita, Pronoy Khanra, Saaransh Dhalwani, and Abhijeet Birari. "Factor Analysis for Portfolio Returns: Investigating How Macroeconomic Factors Impact the Performance of the equity Portfolio." In 2024 International Conference on Trends in Quantum Computing and Emerging Business Technologies (TQCEBT). IEEE, 2024. http://dx.doi.org/10.1109/tqcebt59414.2024.10545071.

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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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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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Marjaie, Seyed Ali, and Vasundhara Kulkarni. "Recognition of Hidden Factors in Requirements Prioritization Using Factor Analysis." In 2010 International Conference on Computational Intelligence and Software Engineering (CiSE). IEEE, 2010. http://dx.doi.org/10.1109/cise.2010.5676794.

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Yuan, Xiang. "Based on factor analysis of influencing factors of port throughput." In 2011 International Conference on Photonics, 3D-imaging, and Visualization. SPIE, 2011. http://dx.doi.org/10.1117/12.906094.

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Xiong, Zhangyuan, Hongzhi Yu, Lulu Liu, and Fucheng Wan. "Analysis of Product Competitive Factors in Agricultural B2C Platform Based on Factor Analysis." In 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016). Atlantis Press, 2016. http://dx.doi.org/10.2991/icmia-16.2016.89.

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Zhou, Xiaofen, Rongyan Zhu, Yong Wang, and Gongzhuo Xu. "Analysis of Factors Influencing Consumer Behavior of Mobile Commerce based on Factor Analysis." In Proceedings of The First International Symposium on Management and Social Sciences (ISMSS 2019). Atlantis Press, 2019. http://dx.doi.org/10.2991/ismss-19.2019.13.

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Wu, Xilan. "Main Factor Analysis of Influencing Factors of College Students' Success Rate." In 2017 International Conference on Robots & Intelligent Systems (ICRIS). IEEE, 2017. http://dx.doi.org/10.1109/icris.2017.56.

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Reports on the topic "Factor Analysi"

1

Turner, Benjamin. Guidance for Factoring Deep Foundation Structural Resistance for Landslide Stabilization and Excavation Support. Deep Foundations Institute, 2023. http://dx.doi.org/10.37308/cpf-2017-land-1.

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Lateral support provided by deep foundations can be an effective means to stabilize existing and potential landslides, and deep foundations contribute to the stability of support-of-excavation systems. However, defining the structural resistance and implementing it in a slope stability analysis that satisfies LRFD requirements is a source of significant confusion and miscommunication among geotechnical and structural designers. This report explains the implications of applying (or not) structural resistance factors at various stages of the analysis. Furthermore, most commercial slope stability

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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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Guo, Xingzhou, Chi Tian, Jinwu Xiao, Yunfeng Chen, and Jiansong Zhang. Life Cycle Integration of Building Information Modeling in Infrastructure Projects. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317356.

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Building Information Modeling (BIM) can provide solutions to many challenges of asset management, such as missing data, incompatible software, and an unclear business process. However, current implementation of BIM in infrastructure projects has only considers limited factors, such as technology application and digital information delivery, while issues of system compatibility and information needs are still missing. Different aspects of a business are interdependent and an incompatible development of various factors might result in different levels of BIM implementation or even project failur

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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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