Relevant bibliographies by topics / Diagnostics of assumption violations

Contents

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

Academic literature on the topic 'Diagnostics of assumption violations'

Author: Grafiati
Published: 26 July 2021
Last updated: 13 February 2022

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Journal articles on the topic "Diagnostics of assumption violations"

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Koukounari, Artemis, Haziq Jamil, Elena Erosheva, Clive Shiff, and Irini Moustaki. "Latent Class Analysis: Insights about design and analysis of schistosomiasis diagnostic studies." PLOS Neglected Tropical Diseases 15, no. 2 (2021): e0009042. http://dx.doi.org/10.1371/journal.pntd.0009042.

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Various global health initiatives are currently advocating the elimination of schistosomiasis within the next decade. Schistosomiasis is a highly debilitating tropical infectious disease with severe burden of morbidity and thus operational research accurately evaluating diagnostics that quantify the epidemic status for guiding effective strategies is essential. Latent class models (LCMs) have been generally considered in epidemiology and in particular in recent schistosomiasis diagnostic studies as a flexible tool for evaluating diagnostics because assessing the true infection status (via a go
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Shi, Yongren, Christopher J. Cameron, and Douglas D. Heckathorn. "Model-Based and Design-Based Inference: Reducing Bias Due to Differential Recruitment in Respondent-Driven Sampling." Sociological Methods & Research 48, no. 1 (2016): 3–33. http://dx.doi.org/10.1177/0049124116672682.

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Respondent-driven sampling (RDS), a link-tracing sampling and inference method for studying hard-to-reach populations, has been shown to produce asymptotically unbiased population estimates when its assumptions are satisfied. However, some of the assumptions are prohibitively difficult to reach in the field, and the violation of a crucial assumption can produce biased estimates. We compare two different inference approaches: design-based inference, which relies on the known probability of selection in sampling, and model-based inference, which is based on models of human recruitment behavior a
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Arinin, Anatolij Nikolaevich. "Influence of Family Upbringing and Status of Adolescents in The Group of Their Coevals on Their Aggressiveness." Development of education, no. 4 (6) (December 18, 2019): 80–86. http://dx.doi.org/10.31483/r-63848.

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The study is aimed at studying the impact of family upbringing and the status of adolescents in the group of their coevals on their aggressiveness. Methods. The hypothesis of the study was the assumption that the development of aggression in adolescents is significantly influenced by such factors as the status of the teenager in his coeval group and the type of family upbringing. The empirical part of the study included three stages: preparatory, diagnostic, analysis and interpretation of the data. These stages of the study are aimed at determining the level of adolescents’ aggression, identif
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Ardito, Chiara, Roberto Leombruni, Michele Mosca, Massimiliano Giraudo, and Angelo d’Errico. "Scar on my heart: effects of unemployment experiences on coronary heart disease." International Journal of Manpower 38, no. 1 (2017): 62–92. http://dx.doi.org/10.1108/ijm-02-2016-0044.

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Purpose The purpose of this paper is to study the impact of unemployment on coronary heart diseases (CHD) in Italy on a sample of male manual workers in the private sector. Design/methodology/approach The authors investigate the association between CHD and different unemployment experiences (ever unemployed; short, mid and long cumulative unemployment), exploiting a large Italian administrative database on careers and health. The study design is based on the balancing of individuals' characteristics during a 12-year pre-treatment period; the measurement of unemployment occurrence during a seve
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Vives, Jaume, Josep-Maria Losilla, Maria-Florencia Rodrigo, and Mariona Portell. "Overdispersion Tests in Count-Data Analysis." Psychological Reports 103, no. 1 (2008): 145–60. http://dx.doi.org/10.2466/pr0.103.1.145-160.

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Count data are commonly assumed to have a Poisson distribution, especially when there is no diagnostic procedure for checking this assumption. However, count data rarely fit the restrictive assumptions of the Poisson distribution. The violation of much of such assumptions commonly results in overdispersion, which invalidates the Poisson distribution. Undetected overdispersion may entail important misleading inferences, so its detection is essential. In this study, different overdispersion diagnostic tests are evaluated through two simulation studies. In Exp. 1, the nominal error rate is compar
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Jewsbury, Paul A. "Diagnostic Test Score Validation With a Fallible Criterion." Applied Psychological Measurement 43, no. 8 (2018): 579–96. http://dx.doi.org/10.1177/0146621618817785.

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Criterion-related validation of diagnostic test scores for a construct of interest is complicated by the unavailability of the construct directly. The standard method, Known Group Validation, assumes an infallible reference test in place of the construct, but infallible reference tests are rare. In contrast, Mixed Group Validation allows for a fallible reference test, but has been found to make strong assumptions not appropriate for the majority of diagnostic test validation studies. The Neighborhood model is adapted for the purpose of diagnostic test validation, which makes alternate, but als
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Raykov, Tenko, and George A. Marcoulides. "Scale Reliability Evaluation Under Multiple Assumption Violations." Structural Equation Modeling: A Multidisciplinary Journal 23, no. 2 (2015): 302–13. http://dx.doi.org/10.1080/10705511.2014.938597.

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Bojinov, Iavor I., Natesh S. Pillai, and Donald B. Rubin. "Diagnosing missing always at random in multivariate data." Biometrika 107, no. 1 (2019): 246–53. http://dx.doi.org/10.1093/biomet/asz061.

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Summary Models for analysing multivariate datasets with missing values require strong, often unassessable, assumptions. The most common of these is that the mechanism that created the missing data is ignorable, which is a two-fold assumption dependent on the mode of inference. The first part, which is the focus here, under the Bayesian and direct-likelihood paradigms requires that the missing data be missing at random; in contrast, the frequentist-likelihood paradigm demands that the missing data mechanism always produce missing at random data, a condition known as missing always at random. Un
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Abdulkerimov, Kh T., K. I. Kartashova, Z. Kh Abdulkerimov, A. V. Rudzevich, T. Kh Abdulkerimov, and K. V. Shamanskaya. "Modern possibilities of stabilometric diagnostics of equilibrium violations." Russian Otorhinolaryngology 18, no. 6 (2019): 125–33. http://dx.doi.org/10.18692/1810-4800-2019-6-125-133.

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Gressel, Gregory M., Lauren Turker, Shayan Dioun, and Nicole S. Nevadunsky. "2317 Uterine serous carcinoma is associated with a high risk of venous thromboembolism regardless of latency from surgical staging." Journal of Clinical and Translational Science 2, S1 (2018): 50–51. http://dx.doi.org/10.1017/cts.2018.193.

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OBJECTIVES/SPECIFIC AIMS: Patients with gynecologic cancer are known to have an increased risk of venous thromboembolism (VTE) in the postoperative period secondary to hypercoagulability from both malignancy and pelvic surgery. Recent literature suggests that chemotherapy itself may be thrombogenic and prophylaxis may be beneficial in ambulatory patients receiving chemotherapy. Although extended VTE prophylaxis is commonly given after surgical staging, administration of prophylactic anticoagulation during chemotherapy or radiation treatment is not routinely performed. This study seeks to chara
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Dissertations / Theses on the topic "Diagnostics of assumption violations"

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Kolaczkowski, Bryan. "Deconstructing phylogenetic reconstruction : effects of assumption violations on evolutionary inference /." view abstract or download file of text, 2006. http://proquest.umi.com/pqdweb?did=1280150641&sid=1&Fmt=2&clientId=11238&RQT=309&VName=PQD.

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Thesis (Ph. D.)--University of Oregon, 2006.<br>Typescript. Includes vita and abstract. Includes bibliographical references (leaves 137-144). Also available for download via the World Wide Web; free to University of Oregon users.
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Hall, Austin J. "Impact of Assumption Violations on the Accuracy of Direct Range Restriction Adjustments." TopSCHOLAR®, 2016. http://digitalcommons.wku.edu/theses/1586.

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For decades researchers, analysts, and organizational professionals have utilized correction equations to adjust for the effects of various statistical artifacts. However, every correction method has certain assumptions that must be satisfied to work properly. These assumptions are likely rarely satisfied for range restriction corrections. As a result, these correction methods are used in a manner that can lead to incorrect results. The current study employed a Monte Carlo design to examine the direct range restriction correction. Analyses were conducted to examine the accuracy of adjustments
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Topczewski, Anna Marie. "Effect of Violating Unidimensional Item Response Theory Vertical Scaling Assumptions on Developmental Score Scales." Diss., University of Iowa, 2013. https://ir.uiowa.edu/etd/4921.

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Developmental score scales represent the performance of students along a continuum, where as students learn more they move higher along that continuum. Unidimensional item response theory (UIRT) vertical scaling has become a commonly used method to create developmental score scales. Research has shown that UIRT vertical scaling methods can be inconsistent in estimating grade-to-grade growth, within-grade variability, and separation of grade distributions (effect size) of developmental score scale. In particular the finding
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Sune, Dan. "Isolation of Multiple-faults with Generalized Fault-modes." Thesis, Linköping University, Department of Electrical Engineering, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1480.

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<p>Most AI approaches for fault isolation handle only the behavioral modes OK and NOT OK. To be able to isolate faults in components with generalized behavioral modes, a new framework is needed. By introducing domain logic and assigning the behavior of a component to a behavioral mode domain, efficient representation and calculation of diagnostic information is made possible. </p><p>Diagnosing components with generalized behavioral modes also requires extending familiar characterizations. The characterizations candidate, generalized kernel candidate and generalized minimal candidate are introd
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Krnáč, Ľuboš. "Ověřování předpokladů lineárního smíšeného modelu." Master's thesis, 2021. http://www.nusl.cz/ntk/nusl-448099.

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1 AbstraktEN The diploma thesis deals with linear mixed effects models. In the first chap- ter, we discuss parameter estimation and hypothesis testing in the linear mixed effects models. The second chapter is dedicated to graphical diagnostics. We look at the suitable diagnostic plots for residuals and random effects estimates. It is closely described, how the violations of assumptions affect the diagnostic plots. In the third chapter we have consequences of the violations of assumptions on the parameter estimates and results of hypothesis testing for fixed effects. 1
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Rego, Barcena Salvador. "A Passive Mid-infrared Sensor to Measure Real-time Particle Emissivity and Gas Temperature in Coal-fired Boilers and Steelmaking Furnaces." Thesis, 2008. http://hdl.handle.net/1807/11251.

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A novel technique for measuring gas temperature and spectral particle emissivity in high-temperature gas-particle streams is presented. The main application of this optical sensor is to improve the process control of batch unit operations, such as steelmaking furnaces. The spectral emission profile of CO and CO2 and the continuous particle emission in the 3.5 to 5 μm wavelength region was recorded and analyzed in real time with a low-resolution passive sensor. The sensor consisted of light collecting optics, a dispersion element (grating spectrometer) and a 64-pixel pyroelectric array. Wavelen
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Books on the topic "Diagnostics of assumption violations"

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Li, Quan. Using R for Data Analysis in Social Sciences. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190656218.001.0001.

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This book seeks to teach undergraduate and graduate students in social sciences how to use R to manage, visualize, and analyze data in order to answer substantive questions and replicate published findings. This book distinguishes itself from other introductory R or statistics books in three ways. First, targeting an audience rarely exposed to statistical programming, it adopts a minimalist approach and covers only the most important functions and skills in R that one will need for conducting reproducible research projects. Second, it emphasizes meeting the practical needs of students using R
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The robustness of two model-data fit procedures to violations of the local independence assumption in item response theory. 1988.

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The robustness of two model-data fit procedures to violations of the local independence assumption in item response theory. 1988.

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The robustness of two model-data fit procedures to violations of the local independence assumption in item response theory. 1987.

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Hasinoff, Amy Adele. Information and consent. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252038983.003.0006.

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This chapter considers the idea that personal information is impossible to control and how this assumption operates in discussions about sexting. It argues that current models of privacy and information flows online do not adequately account for consent and instead stresses the need for better policies and a more robust conversation about social norms of privacy online. Building on feminist theories of sexual consent and challenging the view that all information should be free, the chapter proposes a framework for privacy that requires explicit consent for the circulation of any private inform
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Book chapters on the topic "Diagnostics of assumption violations"

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Andrich, David, and Ida Marais. "Violations of the Assumption of Independence I—Multidimensionality and Response Dependence." In Springer Texts in Education. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7496-8_14.

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Andrich, David, and Ida Marais. "Violations of the Assumption of Independence II—The Polytomous Rasch Model." In Springer Texts in Education. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7496-8_24.

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Schmieders, Eric, and Andreas Metzger. "Preventing Performance Violations of Service Compositions Using Assumption-Based Run-Time Verification." In Towards a Service-Based Internet. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24755-2_19.

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Biewer, Sebastian, Bernd Finkbeiner, Holger Hermanns, Maximilian A. Köhl, Yannik Schnitzer, and Maximilian Schwenger. "RTLola on Board: Testing Real Driving Emissions on your Phone." In Tools and Algorithms for the Construction and Analysis of Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72013-1_20.

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AbstractThis paper is about shipping runtime verification to the masses. It presents the crucial technology enabling everyday car owners to monitor the behaviour of their cars in-the-wild. Concretely, we present an Android app that deploys rtlola runtime monitors for the purpose of diagnosing automotive exhaust emissions. For this, it harvests the availability of cheap bluetooth adapters to the On-Board-Diagnostics (obd) ports, which are ubiquitous in cars nowadays. We detail its use in the context of Real Driving Emissions (rde) tests and report on sample runs that helped identify violations of the regulatory framework currently valid in the European Union.
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Tomuschat, Christian. "The Illusion of Perfect Justice." In Remedies against Immunity? Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-62304-6_3.

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AbstractThe judgment of the Italian Constitutional Court (ItCC) of 22 October 2014 has set a bad precedent for international law by denying the implementation, within Italy, of the judgment of the International Court of Justice (ICJ) of 3 February 2012. The ICJ found that Italian courts and tribunals had violated German jurisdictional immunity by entertaining suits brought by Italian citizens against Germany on account of damages caused by war crimes committed during World War II by German occupation forces. According to a well-consolidated rule of general international law, no state may be sued before the courts of another state with regard to acts performed in the exercise of its sovereign power. In contravention of Article 94 of the UN Charter, the ItCC deemed it legitimate to discard that ruling because of the particularly grave character of many of the violations in question. It proceeded from the assumption that the right to a remedy established under the Italian Constitution was absolute and must apply even where the financial settlement of the consequences of armed conflict is at issue. However, it has failed to show the existence of any individual reparation claims and has omitted to assess the issue of war reparations owed by Germany in their broader complexity. The judgment of the ItCC might be used in the future as a pretext to ignore decisions of the World Court.
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Müller, Andreas, and Martin Meier. "Assessment of Renal Volume with MRI: Experimental Protocol." In Methods in Molecular Biology. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-0978-1_21.

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AbstractRenal length and volume are important parameters in the clinical assessment of patients with diabetes mellitus, kidney transplants, or renal artery stenosis. Kidney size is used in primary diagnostics to differentiate between acute (rather swollen kidneys) and chronic (rather small kidney) pathophysiology. Total kidney volume is also an established biomarker in studies for the treatment of autosomal dominant polycystic kidney disease (ADPKD). There are several factors influencing kidney size, and there is still a debate on the value of the measured kidney size in terms of renal function or cardiovascular risk. The renal volume is most often calculated by measuring the three axes of the kidney, on the assumption that the organ resembles an ellipsoid. By default, the longitudinal and transverse diameters of the kidney are measured. In animal models renal length and volume1 are also important parameters in the assessment of organ rejection after transplantation and in determination of kidney failure due to renal artery stenosis, recurrent urinary tract infections, or diabetes mellitus. In general total kidney volume (TKV) is a valuable parameter for predicting prognosis and monitoring disease progression in animal models of human diseases like polycystic kidney disease (PKD) or acute kidney injury (AKI) and chronic kidney disease (CKD).This chapter is based upon work from the COST Action PARENCHIMA, a community-driven network funded by the European Cooperation in Science and Technology (COST) program of the European Union, which aims to improve the reproducibility and standardization of renal MRI biomarkers. This analysis protocol is complemented by two separate chapters describing the basic concept and experimental procedure.
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Li, Quan. "Regression Diagnostics and Sensitivity Analysis." In Using R for Data Analysis in Social Sciences. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190656218.003.0006.

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This chapter shows why the Gauss-Markov assumptions are important in ordinary least squares (OLS) regression, how to diagnose assumption violations in OLS regression, and how to conduct sensitivity analysis and correct for some assumption violations. The issues covered include linearity and model specification, perfect and high multicollinearity, constant error variance, independence of error term observations, outlier and influential observations, and normality test. A mastery of materials in this chapter is necessary for systematic data analysis of a continuous outcome variable in a cross-sectional design
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"Regression Diagnostics: Detection of Model Violations." In Regression Analysis by Example. John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/0470055464.ch4.

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Stojnić, Una. "Content, Context, and Logic." In Context and Coherence. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198865469.003.0010.

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Non-propositionalism has additionally been fueled by the fact that modals and conditionals seem to give raise to failure of classical patterns of inference, for instance, modus ponens and modus tollens. Since non-propositionalist accounts typically invalidate some of these patterns of inference, the apparent counterexamples have been taken as further data in support of such treatments. This chapter argues that this is a mistaken reaction to the apparent counterexamples. The seeming violations of classical patterns of inference yet again result from a faulty assumption of the extra-linguistic account of context-sensitivity resolution, and a failure to account for the effects of discourse conventions on the interpretation of modal discourse. The chapter’s account of modality, which treats them as prominence-sensitive expressions whose interpretation is determined by discourse conventions, predicts and explains the apparent counterexamples, while nevertheless preserving classical logic.
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Calderón, Barbara Coca, Josef Naef, and Kim Oliver Tokarski. "Multinational Corporations and Social Responsibility." In International Business. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9814-7.ch073.

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Non-governmental organisations often accuse multinational corporations of exploiting the various legal environments in different countries to their advantage in order to avoid the assumption of responsibility for human rights violations or environmental disasters. This empirical study shows that non-governmental organisations (NGOs) can, by employing various instruments, increase the likelihood of multinational corporations accepting social and environmental responsibility for their actions. These instruments, ranging from dialogue to scandalisation, are intended to influence corporate behaviour and their use depends on the pressure the NGO wishes to exert on a particular company. All instruments need careful research and the gathering of evidence, including witness statements. To gain public attention the information must be well prepared for the media, resonate in the corporation's domestic market, stimulate concern and be up-to-date. The most promising activities are those that emphasise that economic success could be compromised to the key decision makers within the company.
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Conference papers on the topic "Diagnostics of assumption violations"

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Marcinko, Tomáš. "Consequences of Assumption Violations Regarding Classical Location Tests." In 17-th AMSE. Applications of mathematics in economics. International Scientific Conference: Poland, 27-31 Agust, 2014. Conference proceedings full text papers. Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu, 2014. http://dx.doi.org/10.15611/amse.2014.17.20.

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Ehlers, Rüdiger, and Ufuk Topcu. "Resilience to intermittent assumption violations in reactive synthesis." In HSCC'14: 17th International Conference on Hybrid Systems: Computation and Control. ACM, 2014. http://dx.doi.org/10.1145/2562059.2562128.

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Koopmans, Michael T., and Irem Y. Tumer. "Function-Based Analysis and Redesign of a Flyable Electromechanical Actuator Test Stand." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-29034.

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Critical faults prevent electromechanical actuators (EMAs) from controlling primary flight surfaces aboard commercial and military human air/spacecraft. However, the efficiency and simplicity of the EMAs makes them appealing for use. For successful implementation, diagnostic and prognostic techniques identifying these critical faults must be optimized. This paper builds the foundation for the design of a second-generation test stand whose aim is to inject known EMA faults and record the data output while onboard an aircraft. First, an overview of faults is presented. Next, functional modeling
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Schwall, Matthew L., and J. Christian Gerdes. "Residual Autocorrelation in Probabilistic Model-Based Diagnostics." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-82165.

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The performance of model-based diagnostic techniques depends not only on the quality of the residuals generated using the models, but also on the method used to interpret the residuals. Robust residuals can often be interpreted deterministically, but noisy residuals can benefit from being interpreted probabilistically. A probabilistic framework enables the modeling of uncertainty and the relationship between multiple faults and multiple residuals. However, it is not well-suited for representing residual dynamics, and as a result, residuals must be assumed to not be autocorrelated. Since this c
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LAVROVA, G. N. "PEDAGOGICAL DIAGNOSTICS OF INDIVIDUAL DEVELOPMENT OF THE CHILD OF PRESCHOOL AGE WITH HEAVY VIOLATIONS OF THE SPEECH (ONR)." In CHALLENGES AND QUESTIONS MODERN SCIENCE part 2. ЦНК МОАН, 2019. http://dx.doi.org/10.18411/pivsn-03-2019-22.

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Borguet, S., P. Dewallef, and O. Le´onard. "On-Line Transient Engine Diagnostics in a Kalman Filtering Framework." In ASME Turbo Expo 2005: Power for Land, Sea, and Air. ASMEDC, 2005. http://dx.doi.org/10.1115/gt2005-68013.

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A common assumption made in the performance assessment of a turbine engine for aircraft propulsion consists in restricting the data processing to steady-state data. This especially holds for onboard performance monitoring of a commercial aircraft which spends up to 90% of the time in cruise flight where such conditions are satisfied. The present contribution is intended to investigate the ability of a diagnosis method to process unsteady data rather than steady-state data. The aim of this unsteady approach is to strongly reduce the time and the efforts spent to obtain a reliable diagnosis. In
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Zeng, Zhiwei, Zhiqi Shen, Benny Toh Hsiang Tan, et al. "Explainable and Argumentation-based Decision Making with Qualitative Preferences for Diagnostics and Prognostics of Alzheimer's Disease." In 17th International Conference on Principles of Knowledge Representation and Reasoning {KR-2020}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/kr.2020/84.

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Argumentation has gained traction as a formalism to make more transparent decisions and provide formal explanations recently. In this paper, we present an argumentation-based approach to decision making that can support modelling and automated reasoning about complex qualitative preferences and offer dialogical explanations for the decisions made. We first propose Qualitative Preference Decision Frameworks (QPDFs). In a QPDF, we use contextual priority to represent the relative importance of combinations of goals in different contexts and define associated strategies for deriving decision pref
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Pliska, Jiri, Katerina Londynova, Zdenek Machat, Petr Sury, Ladislav Havlat, and Vladimir Horky. "Diagnostics of Thermal Cycle Based on Residuals Between Actual and Expected States." In ASME 2011 Pressure Vessels and Piping Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/pvp2011-57605.

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The economical operation of any nuclear power plant requires an accurate, consistent and permanent supervision of process states and health of major equipments that means performance monitoring, analysis, diagnostics, and optimization. The performance of nuclear power plant depends on many parameters. Any even the smallest improvement leads to a significant energy saving. The actual world tendency cares for all parameters which can enable economical work of nuclear power plant. There is a wide range of problems connected with measurement inaccuracies caused by stochastic and systematic errors
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Correa, Juan D., and Elias Bareinboim. "From Statistical Transportability to Estimating the Effect of Stochastic Interventions." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/230.

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Learning systems often face a critical challenge when applied to settings that differ from those under which they were initially trained. In particular, the assumption that both the source/training and the target/deployment domains follow the same causal mechanisms and observed distributions is commonly violated. This implies that the robustness and convergence guarantees usually expected from these methods are no longer attainable. In this paper, we study these violations through causal lens using the formalism of statistical transportability [Pearl and Bareinboim, 2011] (PB, for short). We s
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Chmielewski, Ryszard, and Leopold Kruszka. "Design errors and performance defects as causes of the risk for a collapse of the ceiling of the concert hall." In The 13th international scientific conference “Modern Building Materials, Structures and Techniques”. Vilnius Gediminas Technical University, 2019. http://dx.doi.org/10.3846/mbmst.2019.123.

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The issue presented concerns the proper assessment of a ceiling underneath a modernised concert hall in a historic building as a case study. The reason for a reconstruction was to replace a wood block floor with stone slab floor made of marble. Shortly after the construction works, cracks which appeared, made the floor unsuitable for further use. In order to determine the cause of the damage, a detailed analysis of a state of the construction was performed within the technical diagnostics. The first element that was inspected was the way the cracks were distributed. This layout was typical for
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