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Статті в журналах з теми "Causal relationship models"
Belevich, M. "Relationship between standard and causal fluid models." Acta Mechanica 180, no. 1-4 (September 8, 2005): 83–106. http://dx.doi.org/10.1007/s00707-005-0262-y.
Повний текст джерелаRanstam, J., and J. A. Cook. "Causal relationship and confounding in statistical models." British Journal of Surgery 103, no. 11 (September 22, 2016): 1445–46. http://dx.doi.org/10.1002/bjs.10241.
Повний текст джерелаBaetu, Tudor M. "Do Biopsychosocial Causal Models Rule Out Physicalism?" Journal of Consciousness Studies 29, no. 1 (January 15, 2022): 6–29. http://dx.doi.org/10.53765/20512201.29.1.006.
Повний текст джерелаMalina, Stephen, Daniel Cizin, and David A. Knowles. "Deep mendelian randomization: Investigating the causal knowledge of genomic deep learning models." PLOS Computational Biology 18, no. 10 (October 20, 2022): e1009880. http://dx.doi.org/10.1371/journal.pcbi.1009880.
Повний текст джерелаChvykov, Pavel, and Erik Hoel. "Causal Geometry." Entropy 23, no. 1 (December 26, 2020): 24. http://dx.doi.org/10.3390/e23010024.
Повний текст джерелаHaynes, Stephen N. "Causal models and the assessment-treatment relationship in behavior therapy." Journal of Psychopathology and Behavioral Assessment 10, no. 2 (June 1988): 171–83. http://dx.doi.org/10.1007/bf00962642.
Повний текст джерелаHALPERN, JOSEPH Y. "FROM CAUSAL MODELS TO COUNTERFACTUAL STRUCTURES." Review of Symbolic Logic 6, no. 2 (November 12, 2012): 305–22. http://dx.doi.org/10.1017/s1755020312000305.
Повний текст джерелаGuo, Guang, and Leah K. VanWey. "Sibship Size and Intellectual Development: Is the Relationship Causal?" American Sociological Review 64, no. 2 (April 1999): 169–87. http://dx.doi.org/10.1177/000312249906400202.
Повний текст джерелаYen, Chi-Hsien (Eric), Haocong Cheng, Grace Yu-Chun Yen, Brian P. Bailey, and Yun Huang. "Narratives + Diagrams: An Integrated Approach for Externalizing and Sharing People's Causal Beliefs." Proceedings of the ACM on Human-Computer Interaction 5, CSCW2 (October 13, 2021): 1–27. http://dx.doi.org/10.1145/3479588.
Повний текст джерелаCHU, BEI-TSENG B. "DIAGNOSIS WITH CONTINUOUS AND DISCRETE CAUSAL RELATIONSHIPS: KNOWLEDGE REPRESENTATION." International Journal of Pattern Recognition and Artificial Intelligence 06, no. 04 (October 1992): 731–51. http://dx.doi.org/10.1142/s0218001492000370.
Повний текст джерелаДисертації з теми "Causal relationship models"
Hagerty, Nicholas L. "Bayesian Network Modeling of Causal Relationships in Polymer Models." Miami University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=miami1619009432971036.
Повний текст джерелаTringides, Constantinos A. "Alternative formulations of joint model systems of departure time choice and mode choice for non-work trips." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000240.
Повний текст джерелаKasperskaya, Yulia. "Essays on causal performance measurement models." Doctoral thesis, Universitat Pompeu Fabra, 2007. http://hdl.handle.net/10803/7348.
Повний текст джерелаThis dissertation address a number of research questions related to causal performance measurement models, such as the Balanced Scorecard (BSC). First, we provide an analytical discussion on the topic of the cause-and-effect relationships in these models. Second, we test of the BSC assumptions on empirical data coming from the dynamic enterprises. Third, we compare and analyze the BSC adoption by two city councils. The conceptual analysis indicates that dynamic, complex and uncertain environment and the cognitive limitations of managers may greatly challenge the elaboration of valid causal models. Our statistical results give little support to the existence of stable BSC links. Our case studies findings show diverse organizational rationalities behind the BSC adoption in organizations and the importance of the existing rules and routines.
Ye, Xin. "Development of models for understanding causal relationships among activity and travel variables." [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001842.
Повний текст джерелаDobransky, Nicole Denise. "OPTIMIZING LEARNING THROUGH TEACHER-STUDENT RELATIONSHIPS: A TEST OF THE CAUSAL PROCESS STUDENT UNDERSTANDING MODEL." Lexington, Ky. : [University of Kentucky Libraries], 2008. http://hdl.handle.net/10225/959.
Повний текст джерелаTitle from document title page (viewed on January 26, 2009). Document formatted into pages; contains: vii, 99 p. : ill. Includes abstract and vita. Includes bibliographical references (p. 87-96).
Campbell, Lucy Jane. "Statistical models for time to event outcomes and determination of causal relationships in an observational HIV/TB study." Thesis, University of Cape Town, 2012. http://hdl.handle.net/11427/6570.
Повний текст джерелаLamberts, Monique. "The relationship between stress levels and job satisfaction amongst high school educators in De Aar (Northern Cape)." Thesis, University of the Western Cape, 2011. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_2086_1363786447.
Повний текст джерелаA large number of studies show that educators are exposed to workloads that result particularly in stress. According to Olivier and Venter (2003), stress is considered to be the main factor contributing to job-related illnesses, early retirement, job dissatisfaction and absenteeism. Teaching, has without a doubt become a more demanding and stressful job. The lack of discipline in schools, abolishment of corporal punishment, large pupilteacher ratios and a new curriculum approach all contribute to raising the stress levels of teachers (Ngidi &
Sibaya, 2002). Stanton, Bachiochi, Robie, Perez and Smith (2002 cited in Brewer &
McMahan-Landers, 2003) is of the view that job stress is an antecedent of job satisfaction but the two constructs have been treated as related, yet they are different. The aim of this study is to determine the relationship between stress levels and job satisfaction amongst high school educators in De Aar as well as to 
determine whether biographical variables (namely, gender, age, tenure, marital status and number of children) have an impact on job satisfaction and stress levels. The researcher hopes that 
the findings would give the Department of Education in the Northern Cape an idea of the stress levels and job satisfaction experienced by high school educators in De Aar so that interventions can be implemented to issues proactively. The sample consisted of 86 educators employed at four high schools in De Aar. A biographical questionnaire, the Job Satisfaction Survey (JSS) and Stress Diagnostic Survey (SDS) were administered to assess respondents&rsquo
stress and job satisfaction levels. Informed consent was obtained from the various participants and anonymity of participation was ensured. Statistical analyses included inferential (Pearson&rsquo
s Product Moment Correlation Coefficient, Analysis of Variance &
T-Tests) as well as descriptive statistics. The results of the study 
indicate that there is a statistically significant, inverse relationship between stress levels and job satisfaction amongst high school educators in De Aar. Furthermore, the results indicate that there 
are statistically significant differences in stress levels as well as job satisfaction of high school educators on the basis of their biographical characteristics. The chapter concludes with presenting limitations of the study and putting forth recommendations for future research.
Lance, Charles E. "Evaluation of competing models of the causal relationships among job satisfaction and organizational commitment as precursors to voluntary employee turnover." Diss., Georgia Institute of Technology, 1985. http://hdl.handle.net/1853/29210.
Повний текст джерелаBrunelli, Renata Trevisan. "Análise do impacto de perturbações sobre medidas de qualidade de ajuste para modelos de equações estruturais." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-24032013-123415/.
Повний текст джерелаThe Structural Equation Modeling (SEM) is a multivariate methodology that allows the study of cause-and-efect relationships and correlation of a set of variables (that may be observed or latent ones), simultaneously. The technique has become more diuse in the last years, in different fields of knowledge. One of its main applications is on the confirmation of theoretical models proposed by the researcher (Confirmatory Factorial Analysis). There are several measures suggested by literature to measure the goodness of t of a SEM model. However, there is a scarce number of texts that list relationships between the values of different of those measures with possible problems that may occur on the sample or the specication of the SEM model, like information concerning what problems of this nature impact which measures (and which not), and how does the impact occur. This information is important because it allows the understanding of the reasons why a model could be considered bad fitted. The objective of this work is to investigate how different disturbances of the sample, the model specification and the estimation of a SEM model are able to impact the measures of goodness of fit; additionally, to understand if the sample size has influence over this impact. It will also be investigated if those disturbances affect the estimates of the parameters, given the fact that there are disturbances for which occurrence some of the measures indicate badness of fit but the parameters are not affected; at the same time, that are occasions on which the measures indicate a good fit and there are disturbances on the estimates of the parameters. Those investigations will be made simulating examples of different size samples for which type of disturbance. Then, SEM models with different specifications will be fitted to each sample, and their parameters will be estimated by two dierent methods: Generalized Least Squares and Maximum Likelihood. Given those answers, a researcher that wants to apply the SEM methodology to his work will be able to be more careful and, among the available measures of goodness of fit, to chose those that are more adequate to the characteristics of his study.
Islam, Muhammad Saiful. "Modelling cost overrun risks in power plant projects." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/125508/1/Muhammad%20Saiful_Islam_Thesis.pdf.
Повний текст джерелаКниги з теми "Causal relationship models"
Fell, John P. C. In search of a causal relationship between industrial output and employment in Ireland. Dublin: Central Bank of Ireland, 1989.
Знайти повний текст джерелаVarlamov, Oleg. Mivar databases and rules. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1508665.
Повний текст джерелаVarlamov, Oleg. 18 examples of mivar expert systems. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1248446.
Повний текст джерелаGoul, Pauline, and Usher, eds. Early Modern Écologies. NL Amsterdam: Amsterdam University Press, 2020. http://dx.doi.org/10.5117/9789462985971.
Повний текст джерелаPaolella, Christopher. Human Trafficking in Medieval Europe. NL Amsterdam: Amsterdam University Press, 2020. http://dx.doi.org/10.5117/9789463723336.
Повний текст джерелаIsakov, Vladimir. Speak the language of schemes. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1860649.
Повний текст джерелаLe Pelley, Mike E., Oren Griffiths, and Tom Beesley. Associative Accounts of Causal Cognition. Edited by Michael R. Waldmann. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199399550.013.2.
Повний текст джерелаSutton, Margaret Rose. THE RELATIONSHIP AND PREDICTABILITY OF FIVE PSYCHOSOCIAL FACTORS IN CANCER PATIENTS' COPING PROCESSES: A TEST OF TWO PROPOSED CAUSAL MODELS. 1990.
Знайти повний текст джерелаNANDE-VÁZQUEZ, Edgard Alfredo, Teodoro REYES-FONG, and Omar Alejandro PÉREZ-CRUZ. The Generalized Least Squares Method (GMM) as a tool for causal analysis of spending, budget management and electoral results. ECORFAN, 2021. http://dx.doi.org/10.35429/b.2021.8.1.130.
Повний текст джерелаHolyoak, Keith J., and Hee Seung Lee. Inferring Causal Relations by Analogy. Edited by Michael R. Waldmann. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199399550.013.25.
Повний текст джерелаЧастини книг з теми "Causal relationship models"
von Eckardstein, Arnold. "High Density Lipoproteins: Is There a Comeback as a Therapeutic Target?" In Prevention and Treatment of Atherosclerosis, 157–200. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/164_2021_536.
Повний текст джерелаCleophas, Ton J., and Aeilko H. Zwinderman. "Bayes and Causal Relationships." In Modern Bayesian Statistics in Clinical Research, 131–42. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92747-3_13.
Повний текст джерелаde Jong, Gjalt, and Bart Nooteboom. "The Theoretical Model." In The Causal Structure of Long-Term Supply Relationships, 25–42. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4525-5_3.
Повний текст джерелаEsposito, Floriana, Donato Malerba, and Giovanni Semeraro. "Discovering Probabilistic Causal Relationships: A Comparison Between Two Methods." In Selecting Models from Data, 233–42. New York, NY: Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4612-2660-4_24.
Повний текст джерелаGudlaugsson, Bjarnhedinn, Huda Dawood, Gobind Pillai, and Michael Short. "First Step Towards a System Dynamic Sustainability Assessment Model for Urban Energy Transition." In Springer Proceedings in Energy, 225–32. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63916-7_28.
Повний текст джерелаEntner, Doris, and Patrik O. Hoyer. "Discovering Unconfounded Causal Relationships Using Linear Non-Gaussian Models." In New Frontiers in Artificial Intelligence, 181–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25655-4_17.
Повний текст джерелаBakker, Bram, and Paul den Dulk. "Causal Relationships and Relationships between Levels: The Modes of Description Perspective." In Proceedings of the Twenty First Annual Conference of the Cognitive Science Society, 43–48. New York: Psychology Press, 2020. http://dx.doi.org/10.4324/9781410603494-13.
Повний текст джерелаWake, Akira, and Herbert R. Morgan. "Human Disease Caused by Yersinia." In Host-Parasite Relationships and the Yersinia Model, 181–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-71344-6_20.
Повний текст джерелаHair, Joseph F., G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Nicholas P. Danks, and Soumya Ray. "An Introduction to Structural Equation Modeling." In Classroom Companion: Business, 1–29. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80519-7_1.
Повний текст джерелаGao, Ya, Shaoxiong Ji, Tongxuan Zhang, Prayag Tiwari, and Pekka Marttinen. "Contextualized Graph Embeddings for Adverse Drug Event Detection." In Machine Learning and Knowledge Discovery in Databases, 605–20. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26390-3_35.
Повний текст джерелаТези доповідей конференцій з теми "Causal relationship models"
Perçin, Selçuk, Aykut Karakaya, and Seymur Ağazade. "The Relationship between Export and Innovation in Turkish Manufacturing Industry." In International Conference on Eurasian Economies. Eurasian Economists Association, 2015. http://dx.doi.org/10.36880/c06.01408.
Повний текст джерелаSun, Schyler C., Bailu Jin, Zhuangkun Wei, and Weisi Guo. "Revealing the Excitation Causality between Climate and Political Violence via a Neural Forward-Intensity Poisson Process." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/718.
Повний текст джерелаPurmalis, Ritvars. "Cēloņsakarības konstatēšana mākslīgā intelekta darbībā." In Latvijas Universitātes 80. starptautiskā zinātniskā konference. LU Akadēmiskais apgāds, 2022. http://dx.doi.org/10.22364/juzk.80.14.
Повний текст джерелаElmas, Bekir, and Ömer Esen. "Determining a Dynamic Relationship Between Stock Prices and Exchange Rates: An Empirical Study on Eurasia." In International Conference on Eurasian Economies. Eurasian Economists Association, 2010. http://dx.doi.org/10.36880/c01.00168.
Повний текст джерелаVilcu, Adrian, Ion Verzea, Mihaela Cojan, and Adrian Vilcu. "EDUCATIONAL SOFTWARE FOR THE OPTIMIZATION OF SAFETY IN OPERATION IN THE TEXTILE PROCESSES." In eLSE 2017. Carol I National Defence University Publishing House, 2017. http://dx.doi.org/10.12753/2066-026x-17-243.
Повний текст джерелаCatania, Giuseppe, and Silvio Sorrentino. "Experimental Identification of a Fractional Derivative Linear Model for Viscoelastic Materials." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-85725.
Повний текст джерелаDalte, Olha. "HYPER-HYPONYMIC RELATIONSHIPS BETWEEN PARONYMIC TERMS «CAUSAL» AND «CAUSATIVE»: CORPORA-BASED VERIFICATION." In Modern Science: Processes of Globalisation and Transformation. Publishing House “Baltija Publishing”, 2023. http://dx.doi.org/10.30525/978-9934-26-309-5-36.
Повний текст джерелаMeredith, David. "A CAUSAL RELATIONSHIP MODEL OF UNDERGRADUATE STUDENTS’ WILLINGNESS TO COMMUNICATE ENGLISH." In 35th International Academic Conference, Barcelona. International Institute of Social and Economic Sciences, 2018. http://dx.doi.org/10.20472/iac.2018.935.029.
Повний текст джерелаLi, Shuang, Si-Ze Hou, Yutong Yao, Yongqi Sun, and Bin Ding. "MMINN: Management-Model Informed Neural Network with Interpretability and Causal Relationship." In 2022 5th International Conference on Pattern Recognition and Artificial Intelligence (PRAI). IEEE, 2022. http://dx.doi.org/10.1109/prai55851.2022.9904239.
Повний текст джерелаGuo, Zhenghao, Verity M. McClelland, and Zoran Cvetkovic. "Unravelling Causal Relationships Between Cortex and Muscle with Errors-in-variables Models." In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2021. http://dx.doi.org/10.1109/embc46164.2021.9630485.
Повний текст джерелаЗвіти організацій з теми "Causal relationship models"
Khvostina, Inesa, Serhiy Semerikov, Oleh Yatsiuk, Nadiia Daliak, Olha Romanko, and Ekaterina Shmeltser. Casual analysis of financial and operational risks of oil and gas companies in condition of emergent economy. [б. в.], October 2020. http://dx.doi.org/10.31812/123456789/4120.
Повний текст джерелаRizzo, Tesalia. Shaping political trust through participatory governance in Lat in America. Inter-American Development Bank, August 2021. http://dx.doi.org/10.18235/0003601.
Повний текст джерелаKneale, Dylan, James Thomas, Mukdarut Bangpan, Hugh Waddington, and David Gough. Causal chain analysis in systematic reviews of international development interventions. Centre for Excellence and Development Impact and Learning (CEDIL), 2018. http://dx.doi.org/10.51744/cip4.
Повний текст джерелаAcosta, Karina. Locked up? The development and internal migration nexus in Colombia. Banco de la República, January 2022. http://dx.doi.org/10.32468/dtseru.304.
Повний текст джерелаMontville, Thomas J., and Roni Shapira. Molecular Engineering of Pediocin A to Establish Structure/Function Relationships for Mechanistic Control of Foodborne Pathogens. United States Department of Agriculture, August 1993. http://dx.doi.org/10.32747/1993.7568088.bard.
Повний текст джерелаRuvinsky, Alicia, Maria Seale, R. Salter, and Natàlia Garcia-Reyero. An ontology for an epigenetics approach to prognostics and health management. Engineer Research and Development Center (U.S.), March 2023. http://dx.doi.org/10.21079/11681/46632.
Повний текст джерелаFoeken, van, and Gresnigt. L51809 Buckling and Collapse of UOE Manufactured Steel Pipes. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), November 1998. http://dx.doi.org/10.55274/r0010236.
Повний текст джерелаLawrence, David. UK trade and the war in Ukraine. Royal Institute of International Affairs, September 2022. http://dx.doi.org/10.55317/9781784135379.
Повний текст джерелаWatkins, Chris B., Susan Lurie, Amnon Lers, and Patricia L. Conklin. Involvement of Antioxidant Enzymes and Genes in the Resistance Mechanism to Postharvest Superficial Scald Development. United States Department of Agriculture, December 2004. http://dx.doi.org/10.32747/2004.7586539.bard.
Повний текст джерелаZhang, Renduo, and David Russo. Scale-dependency and spatial variability of soil hydraulic properties. United States Department of Agriculture, November 2004. http://dx.doi.org/10.32747/2004.7587220.bard.
Повний текст джерела