Relevant bibliographies by topics / Influential observation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Influential observation'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Influential observation"

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LING, YUN, STEWART J. ANDERSON, RICHARD A. BILONICK, GADI WOLLSTEIN, and JOEL S. SCHUMAN. "Influence diagnostics for multivariate growth curve models." Journal of Statistical Research 51, no. 1 (2017): 1–16. http://dx.doi.org/10.47302/jsr.2017510101.

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Research has shown that in mixed effect longitudinal models, influential observations can have a large effect on the estimates of subject-specific parameters. Furthermore, they cannot always be detected by the classical Cook’s distance due to potentially large between subject variation. Thus, influential observations should be approached by conditioning on the subjects. However, no rigorous approach has been developed for influential observation detection for multivariate longitudinal mixed models where more than one response is measured for each subject at each time point. We propose a multiv
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Cook, R. Dennis. "Detection of Influential Observation in Linear Regression." Technometrics 42, no. 1 (2000): 65–68. http://dx.doi.org/10.1080/00401706.2000.10485981.

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Budhlakoti, Neeraj, Anil Rai, and D. C. Mishra. "Effect of influential observation in genomic prediction using LASSO diagnostic." Indian Journal of Agricultural Sciences 90, no. 6 (2020): 1155–59. http://dx.doi.org/10.56093/ijas.v90i6.104789.

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Detection of influential observation is one of the crucial steps of pre-processing to identify suspicious elements of data that may be due to error or some other unknown source. Several statistical measures are developed for detection of influential observation but still challenges are there to detect a true influential observation for high dimension data like gene expression, genotyping data. In this article we have demonstrated the effect of influential observation on genomic prediction accuracy by using recently proposed LASSO diagnostic, i.e. Df-Model, Df-Regpath, Df-Cvpath, Df-Lambda and
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Mulry, Mary H., Broderick E. Oliver, and Stephen J. Kaputa. "Detecting and Treating Verified Influential Values in a Monthly Retail Trade Survey." Journal of Official Statistics 30, no. 4 (2014): 721–47. http://dx.doi.org/10.2478/jos-2014-0045.

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Abstract In survey data, an observation is considered influential if it is reported correctly and its weighted contribution has an excessive effect on a key estimate, such as an estimate of total or change. In previous research with data from the U.S. Monthly Retail Trade Survey (MRTS), two methods, Clark Winsorization and weighted M-estimation, have shown potential to detect and adjust influential observations. This article discusses results of the application of a simulation methodology that generates realistic population time-series data. The new strategy enables evaluating Clark Winsorizat
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Nascimento, A. D. C., G. J. A. Amaral, B. B. Achic, and J. T. M. Cruz. "Influential observation in complex normal data for problems in allometry." Communications in Statistics - Theory and Methods 45, no. 9 (2016): 2714–29. http://dx.doi.org/10.1080/03610926.2014.889165.

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Jahanshahloo, G. R., F. Hosseinzadeh, N. Shoja, G. Tohidi, and S. Razavyan. "A method for detecting influential observation in radial DEA models." Applied Mathematics and Computation 147, no. 2 (2004): 415–21. http://dx.doi.org/10.1016/s0096-3003(02)00735-x.

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Qanbar, Alaa Abdulazeez, and Zakariya Yahya Algamal. "Improving Support vector machine for Imbalanced big data classification." Journal of Intelligent Systems and Internet of Things 11, no. 2 (2024): 22–29. http://dx.doi.org/10.54216/jisiot.110202.

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A significant proportion of one type of pattern and a relatively small quantity of another type of pattern can be found in many unbalanced real data sets. In addition, finding significant observations and excluding influential observations is effectively accomplished through diagnostic analysis. Support vector machines (SVM), a common classification technique, perform poorly on imbalanced datasets and when influential observations exist. In this research, the pigeon optimization algorithm as a metaheuristic algorithm is employed to address the influence observation issues in SVM. Experiments a
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Jian-Xin Pan and Kai-Tai Fang. "Influential observation in the growth curve model with unstructured covariance matrix." Computational Statistics & Data Analysis 22, no. 1 (1996): 71–87. http://dx.doi.org/10.1016/0167-9473(95)00037-2.

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Hoaglin, David C. "A Brief Introduction to Influence Diagnostics in Regression." International Journal of Technology Assessment in Health Care 7, no. 2 (1991): 227–34. http://dx.doi.org/10.1017/s0266462300005122.

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AbstractStatistical analyses that involve regression methods often encounter data in which some observations have substantial influence. This article presents a nontechnical discussion of influence and of two techniques, based on leaving out each individual observation in turn, for diagnosing influential data. An example illustrates the techniques in an analysis of recurrence rates in endoscopic treatment of bleeding peptic ulcers.
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Kushner, Irving. "The 4 Humors Erythrocyte Sedimentation: The Most Influential Observation in Medical History." American Journal of the Medical Sciences 346, no. 2 (2013): 154–57. http://dx.doi.org/10.1097/maj.0b013e31826cad55.

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Dissertations / Theses on the topic "Influential observation"

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Stål, Karin. "Identifying Influential Observations in Nonlinear Regression : a focus on parameter estimates and the score test." Doctoral thesis, Stockholms universitet, Statistiska institutionen, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-114324.

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This thesis contributes to influence analysis in nonlinear regression and in particular the detection of influential observations. The focus is on a regression model with a known mean function, which is nonlinear in its parameters and where the function is chosen according to the knowledge about the process generating the data. The error term in the regression model is assumed to be additive. The main goal of this thesis is to work out diagnostic measures for assessing the influence of observations on various results from a nonlinear regression analysis. The obtained results comprise diagnosti
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Ware, Lezlee J. "The highs and lows of visual salience and status influential factors in source monitoring decisions /." Ohio : Ohio University, 2009. http://www.ohiolink.edu/etd/view.cgi?ohiou1242239270.

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Hao, Chengcheng. "Explicit Influence Analysis in Crossover Models." Doctoral thesis, Stockholms universitet, Statistiska institutionen, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-107703.

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This dissertation develops influence diagnostics for crossover models. Mixed linear models and generalised mixed linear models are utilised to investigate continuous and count data from crossover studies, respectively. For both types of models, changes in the maximum likelihood estimates of parameters, particularly in the estimated treatment effect, due to minor perturbations of the observed data, are assessed. The novelty of this dissertation lies in the analytical derivation of influence diagnostics using decompositions of the perturbed mixed models. Consequently, the suggested influence dia
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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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Lefrancois, Bernard Carleton University Dissertation Mathematics. "Detecting overly influential observations in time series." Ottawa, 1989.

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Danilevicz, Ian Meneghel. "Detecting Influential observations in spatial models using Bregman divergence." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/104/104131/tde-13112018-160231/.

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How to evaluate if a spatial model is well ajusted to a problem? How to know if it is the best model between the class of conditional autoregressive (CAR) and simultaneous autoregressive (SAR) models, including homoscedasticity and heteroscedasticity cases? To answer these questions inside Bayesian framework, we propose new ways to apply Bregman divergence, as well as recent information criteria as widely applicable information criterion (WAIC) and leave-one-out cross-validation (LOO). The functional Bregman divergence is a generalized form of the well known Kullback-Leiber (KL) divergence. Th
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Katshunga, Dominique. "Identifying outliers and influential observations in general linear regression models." Thesis, University of Cape Town, 2004. http://hdl.handle.net/11427/6772.

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Includes bibliographical references (leaves 140-149).<br>Identifying outliers and/or influential observations is a fundamental step in any statistical analysis, since their presence is likely to lead to erroneous results. Numerous measures have been proposed for detecting outliers and assessing the influence of observations on least squares regression results. Since outliers can arise in different ways, the above mentioned measures are based on motivational arguments and they are designed to measure the influence of observations on different aspects of various regression results. In what follo
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Li, Jianzhu. "Regression diagnostics for complex survey data identification of influential observations /." College Park, Md.: University of Maryland, 2007. http://hdl.handle.net/1903/7598.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2007.<br>Thesis research directed by: Joint Program in Survey Methodology. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Van, Deventer Petrus Jacobus Uys. "Outliers, influential observations and robust estimation in non-linear regression analysis and discriminant analysis." Doctoral thesis, University of Cape Town, 1993. http://hdl.handle.net/11427/4363.

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Books on the topic "Influential observation"

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Kempthorne, Peter J. Identifying rank-influential groups of observations in linear regression modeling. Alfred P. Sloan School of Management, Massachusetts Institute of Technology, 1989.

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Sankoh, O. A. Influential observations in the linear regression model and Trenkler's iteration estimator. Cuvillier, 1996.

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Melanson, Stella. Educational aspirations of male and female adolescents from intact and divorced families: An observaton of influential factors. Laurentian University, School of Graduate Studies, 2003.

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Sabroe, Ian, and Phil Withington. Language Matters: ‘Counsel’ in Early Modern and Modern Medicine. Edinburgh University Press, 2018. http://dx.doi.org/10.3366/edinburgh/9781474400046.003.0029.

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Francis Bacon is famous today as one of the founding fathers of the so-called ‘scientific revolution’ of the seventeenth century. Although not an especially successful scientist himself, he was nevertheless the most eloquent and influential spokesperson for an approach to knowledge that promised to transform human understanding of both humanity and its relationship with the natural and social worlds. The central features of this approach, as they emerged in Bacon’s own writings and the work of his protégés and associates after 1605, are equally well known. They include the importance of experi
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Ibrahim, Habiba. Black Age. NYU Press, 2021. http://dx.doi.org/10.18574/nyu/9781479810888.001.0001.

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In the aftermath of Trayvon Martin’s murder in 2012, an observation saliently circulated in public: Black children are not seen as children. Yet when and how is black embodiment of any age accurately seen? Black Age: Oceanic Lifespans and the Time of Black Life argues that age for people of the black diaspora has been historically constituted as “untimely.” Over various phases of the transatlantic slave trade, the black body had been separated from hegemonic relations to human time. Black age became contingent, malleable, and suited for the needs of enslavement. As a result, black embodiment b
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Flesher Fominaya, Cristina. Democracy Reloaded. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190099961.001.0001.

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Framed in debates about the crisis of democracy, the book analyzes one of the most influential social movements of recent times: Spain’s “Indignados” or “15-M” movement. In the wake of the global financial crisis and harsh austerity policies, 15-M movement activists occupied public squares across the country, mobilized millions of Spanish citizens, gave rise to new hybrid parties such as Podemos, and inspired pro-democracy movements around the world. Based on access to key participants in the 15-M movement and Podemos, and extensive participant observation, the book tells the story of this rem
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O'Dwyer, Conor. Coming Out of Communism. NYU Press, 2018. http://dx.doi.org/10.18574/nyu/9781479876631.001.0001.

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This book offers a close study of the rapidly evolving politics of LGBT rights in postcommunist Europe, where social attitudes have historically marginalized the issue and where the legacy of weak civil society has handicapped activism in general. What happens in societies such as these when increased exposure to transnational institutions such as the European Union and the minority-rights norms that they promote brings new visibility to LGBT issues? Is activism boosted by the infusion of resources from transnational networks? Or does transnational pressure bring backlash, inflaming antigay at
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Raty, Tarmo. Efficient facets, influential observations, and revisions of the best practice boundary for DEA (University of Joensuu Publications in Social Sciences). Joensuun yliopisto, 1998.

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Blomberg, Olle. Practical Knowledge and Acting Together. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198801764.003.0006.

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This chapter explores a problem that joint action raises for an influential philosophical view of the nature of intentional action. According to this view, an agent is intentionally -ing if and only if she has a special kind of practical and non-observational knowledge that she is -ing. It is here argued, however, that this view faces serious problems when extended to make sense of the possibility of an intentional action performed by several agents together. Since a general theory of intentional action should be applicable to both singular and joint intentional action, this suggests that prac
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Hall, Dewey W., and Jillmarie Murphy, eds. Gendered Ecologies. Liverpool University Press, 2020. http://dx.doi.org/10.3828/liverpool/9781949979046.001.0001.

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Gendered Ecologies: New Materialist Interpretations of Women Writers in the Long Nineteenth Century is comprised of a diverse collection of essays featuring analyses of literary women writers, ecofeminism, feminist ecocriticism, and the value of the interrelationships that exist among human, nonhuman, and nonliving entities as part of the environs. The book presents a case for the often-disregarded literary women writers of the long nineteenth century, who were active contributors to the discourse of natural history—the diachronic study of participants as part of a vibrant community interconne
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Book chapters on the topic "Influential observation"

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Pan, Jian-Xin, and Kai-Tai Fang. "Discordant Outlier And Influential Observation." In Growth Curve Models and Statistical Diagnostics. Springer New York, 2002. http://dx.doi.org/10.1007/978-0-387-21812-0_4.

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von Rosen, Dietrich. "Influential Observations." In Bilinear Regression Analysis. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78784-8_8.

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Huang, Deng-Yuan. "Influential Observations." In International Encyclopedia of Statistical Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-04898-2_303.

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Huang, Deng-Yuan. "Influential Observations." In International Encyclopedia of Statistical Science. Springer Berlin Heidelberg, 2025. https://doi.org/10.1007/978-3-662-69359-9_289.

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Brachinger, Hans Wolfgang, and Uwe Steinhauser. "Unmasking Influential Observations." In Operations Research Proceedings. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-80117-4_35.

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Bourou, Dimitra, Marco Schorlemmer, and Enric Plaza. "Euler vs Hasse Diagrams for Reasoning About Sets: A Cognitive Approach." In Diagrammatic Representation and Inference. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15146-0_13.

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AbstractThe literature on diagrammatic reasoning includes theoretical and experimental work on the effectiveness of diagrams for conveying information. One influential theoretical contribution to this field proposes that a notation that is more effective than another would have an observational advantage over it; that is, it would make certain pieces of information observable—by means of some visual, meaning-carrying relationships—that were not observable in the other. Although the notion of observational advantage captures a relevant aspect of the benefit of using one notation over another, w
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Sen, Ashish, and Muni Srivastava. "Outliers and Influential Observations." In Springer Texts in Statistics. Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-4470-7_8.

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Sen, Ashish, and Muni Srivastava. "Outliers and Influential Observations." In Springer Texts in Statistics. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-662-25092-1_8.

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Vonthein, R. "Classes of Influential Observations." In Classification and Knowledge Organization. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-59051-1_24.

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Ghosh, Subir, and Hamid Namini. "Influential Observations under Robust Designs." In Coding Theory and Design Theory. Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4615-6654-0_7.

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Conference papers on the topic "Influential observation"

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Magdowski, Ruth, Andreas Kraus, and Markus O. Speidel. "Stress Corrosion Cracking of Carbon and Low Alloy Steels in High Temperature Water." In CORROSION 1995. NACE International, 1995. https://doi.org/10.5006/c1995-95402.

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Abstract A new set of fracture mechanics stress corrosion crack growth rate data is presented for transgranular cracking of carbon and low alloy steels exposed to high temperature water. The essential observations are as follows. Fast stress corrosion crack growth rates between 10−9 and 10−8 m/s may be observed down to 400 ppb dissolved oxygen at water conductivities of 0.5 μS/cm in refreshed autoclaves. There is no effect of specimen thickness on the stress corrosion crack growth rates. Temperature, however, clearly is a major influential parameter on stress corrosion cracking.
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Ravindra, R. K. M. P., and K. G. Sooriyagoda. "THE INFLUENCE OF STREET’S ELEMENTS ON WALKABILITY: A CASE OF COLOMBO 07." In Beyond sustainability reflections across spaces. Faculty of Architecture Research Unit, 2021. http://dx.doi.org/10.31705/faru.2021.20.

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The walking behaviour of pedestrians continuously depends on street design and its quality. In Asian countries, streets have evolved from traditional streets without interpreting the actual need and impact of street elements for walking behaviour. However, they act only as transportation links while limited to the name by itself. This research aimed to identify the street elements that influence walkability and to investigate the most influential factor for walkability in terms of “Link and Place” to promote walkability in the Sri Lankan context. This study was conducted using a mixed-method a
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Ye, Wenye, Qi Yang, Marcelo Ribeiro, et al. "A Modeling Method of Predicting Service Life at Crack Threshold Stage for Tensile Armor of Flexible Pipes Under SCC-CO2 Environment." In ASME 2024 43rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/omae2024-125047.

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Abstract Cracks triggered by Carbon Dioxide initiated Stress Corrosion Cracking (SCC-CO2) have been identified as a new failure mode in flexible pipes, yet a method of predicting its occurrence, especially the stage of crack initiation (T1) is lacked in the industry. The root cause of SCC cracks is complex, the experiment observation shows the cracking may initiate from different locations and grow along different paths. As a starting point, this paper introduces a methodology of T1 prediction on the basis of equivalent initial flaw size (EIFS) theory and also back-extension of Paris linear se
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Nikolakopoulos-Skelly, Georgios, Marie Ann Giddins, Rong Xu, Chioma Ezeogu, and Matthew Jackson. "Reservoir Simulation Studies for Planning Monitoring Schemes for CO2 Storage." In SPE Offshore Europe Conference & Exhibition. SPE, 2021. http://dx.doi.org/10.2118/205453-ms.

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Abstract In this paper, we describe an approach to designing monitoring schemes for carbon dioxide sequestration in saline aquifers. Changes in key parameters are investigated over timescales of up to a thousand years. The study addresses movement of the CO2 plume, possible locations for observation wells and the period for which a storage location should be monitored. For the initial sensitivity analysis, we use a simple homogeneous reservoir simulation model to understand how reservoir, operational and model parameters affect the amount of mobile CO2 remaining at different times over the sto
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Kojo, Retsu, Akitoshi Hotta, Masahiro Furuya, Miyuki Akiba, and Harutaka Hoshi. "Detailed Observation of Seawater Precipitation With 5×5 Mockup Fuel Bundle Based on X-Ray Computated Tomography Technique." In 2014 22nd International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/icone22-30129.

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In order to conform to the new regulatory standard in Japan, seawater is regarded as the alternative water source both for BWRs (Boiling water reactors) and PWRs (Pressurized water reactors). For preventing further accident evolutions occurred in Fukushima Daiichi nuclear power plants, seawater was injected into the reactors for more than one week. With long-term seawater injection, sea salt compositions are condensed and many of them will precipitate when saturated concentrations are exceeded. Unlike corrosion issues, impacts of sea salt precipitation on the heat removal has not been studied
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Kumar, Nithin S., R. Ajith Kumar, and Jayalakshmi Mohan. "Interference Between a Square and a Circular Cylinder." In ASME/JSME/KSME 2015 Joint Fluids Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/ajkfluids2015-12677.

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The flow visualization studies around a square cylinder (upstream) and a circular cylinder arranged in tandem configuration is studied experimentally to identify the interference flow patterns. Flow visualization studies are carried out in a re-circulating water channel. The investigations are carried out for tandem arrangement varying the center-to-center distance (L) between the cylinders; L/B ratio is varied from 1 to 5 where B is the characteristic length. Experiments were conduct at a Reynolds number of 2100 (based on B). The results are also obtained for two tandem square cylinder config
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Yu-quan, Cui, and Ma Li-jie. "Detecting Influential Observations in Generalized DEA Model." In 2006 International Conference on Management Science and Engineering. IEEE, 2006. http://dx.doi.org/10.1109/icmse.2006.313876.

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Yu, Hang, and Ee-Chien Chang. "Distributed multivariate regression based on influential observations." In the ninth ACM SIGKDD international conference. ACM Press, 2003. http://dx.doi.org/10.1145/956750.956839.

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McLauchlan, Arric E., Rakesh Patel, David Hayden, et al. "A Benefit of Late Phase Design Studies: Design Verification Data Lensing." In 2024 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/dmd2024-1032.

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Abstract Process Integration and Design Optimization (PIDO) tools, which can connect and automate a series of computational processes forming an executable workflow with automated data input, analysis execution, and output collection, have an abundance of potential early in the life cycle of a product, but the utilization of these tools and approaches in late-phase programs can be every bit as valuable. One could even argue that the use of these tools to quickly find root causes and optimize final solutions is even more important in the late phases of a program, as the costs at these phases ar
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Türkan, Semra. "Examination of influential observations in penalized spline regression." In 11TH INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2013: ICNAAM 2013. AIP, 2013. http://dx.doi.org/10.1063/1.4825792.

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Reports on the topic "Influential observation"

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Maeno, Yoshiharu. Epidemiological geographic profiling for a meta-population network. Web of Open Science, 2020. http://dx.doi.org/10.37686/ser.v1i2.78.

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Epidemiological geographic profiling is a statistical method for making inferences about likely areas of a source from the geographical distribution of patients. Epidemiological geographic profiling algorithms are developed to locate a source from the dataset on the number of new cases for a meta-population network model. It is found from the WHO dataset on the SARS outbreak that Hong Kong remains the most likely source throughout the period of observation. This reasoning is pertinent under the restricted circumstance that the number of reported probable cases in China was missing, unreliable,
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Ghosh, Subir. On Two Methods of Identifying Influential Sets of Observations. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada186270.

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Reeta, KC. Decentralization of Gender Equality in a Federal State. IFF, 2024. http://dx.doi.org/10.51363/unifr.diff.2024.42.

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This research paper explores the case study of the decentralization of gender roles and women’s participation in wildlife conservation at Banke National Park in West Nepal. The study examines how decentralization, within the framework of Nepal’s federal state, has brought transformative changes in the roles and engagement of women in conservation. Through qualitative methods such as interviews and observation, the research uncovers the evolving landscape of gender dy-namics, the challenges faced by women in conservation, and the profound influence of decentral-ization on these dynamics. The fi
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Bittmann, Felix. Academic track mismatch and the temporal development of well-being and competences in German secondary education. Verlag der Österreichischen Akademie der Wissenschaften, 2021. http://dx.doi.org/10.1553/populationyearbook2021.res5.1.

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Formal education is one of the most influential predictors of professional success. As parents in Germany are aware of the importance of education, they often try to enable their children to enrol in the prestigious academic schooling track (Gymnasium). This explains why the transition recommendation made by the teacher after the fourth grade is sometimes ignored if the desired track was not recommended for a particular student. How the mismatch between the teacher’s recommendation and the parents’ choice of schooling for their child affects the child’s development is not sufficiently known. I
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Salkever, Alex. Open Source Maintainers: Exploring the People, Practices, and Constraints Facing the World's Most Critical Open Source Software Projects. The Linux Foundation, 2023. https://doi.org/10.70828/lddj8886.

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The software that powers so much of our technology infrastructure would not be possible without the individuals who maintain them. To understand more about this group of individuals, how maintainers become maintainers, and to capture their experiences, observations, and success stories, the Linux Foundation interviewed some of the community’s most influential maintainers. In this research project, interviewees shared their best practices to balance the growth of a healthy software community with their own lives. Forty-one practices were collected throughout the interviews, including using incl
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