Relevant bibliographies by topics / Component of Predictive Earning

Contents

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

Academic literature on the topic 'Component of Predictive Earning'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Component of Predictive Earning"

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Al-Hawatmeh, Omar Mohammad. "The ability of cash flows to predict the earning." Journal of Social Sciences (COES&RJ-JSS) 9, no. 2 (2020): 590.602. https://doi.org/10.25255/jss.2020.9.2.590.602.

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This study aims to test is ability of cash flows to predict the earning, his research is expected to give contribution in providing evidence on whether (1) operating cash flow is useful to predicting earning. (2) Investing cash flow is useful to predicting earning. (3) Financing cash flow is useful to predicting earning. In the present research, Statistical population consists of firms listed on London Stock Exchange Group (LSEG) during 2015-2018. Earning (dependent variable) was measured by net income, operating income and independent variable, namely cash flows through operating, investing a
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Ekawati, Erni. "Pengaruh Transitory Earnings Pada Penggunaan Rasio E/p Dalam Penilaian Perusahaan: Studi Empirik Di Indonesia." Jurnal Riset Akuntansi dan Keuangan 6, no. 1 (2010): 1. http://dx.doi.org/10.21460/jrak.2010.61.164.

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The purposes of this study are, firstly, to confirm the findings of the previous study, whether earnings contain transitory component$. Secondly, to investigate how E/P ratios are affected when firms experience transitory earning changes. Thirdly, tg examine whether the dffirences in E/P ratios across firms-due to differences in the magnitude of transitory earnings will quickly disappear in subsequent years. (Jsingfinancial dan of companies listed in Jakarta Stock Exchange (JSE).from the periods of 1993 to 2003, the study finds that earning changes etehibit a transitory component. Under the co
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Fawzi Shubita, Mohammad. "The ability of cash flows to predict the earning: Evidence from Jordan." Investment Management and Financial Innovations 18, no. 4 (2021): 36–44. http://dx.doi.org/10.21511/imfi.18(4).2021.04.

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This study aims to investigate the ability of cash flows components to predict the earning and to know the extent of the relationship between accounting profits and cash flow measures. The study sample consisted of 77 industrial companies listed on the Amman Stock Exchange in Jordan for the period from 2006 to 2019. This study relied on the regression method to test the relationship between the study variables. The study findings showed that the cash flows from operating, investing, and financial activities have a statistically significant impact on predicting future earnings. The study also e
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Fawzi Shubita, Mohammad. "The ability of cash flows to predict the earning: Evidence from Jordan." Investment Management and Financial Innovations 18, no. 4 (2021): 36–44. http://dx.doi.org/10.21511/imfi.18(4).2021.04.

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This study aims to investigate the ability of cash flows components to predict the earning and to know the extent of the relationship between accounting profits and cash flow measures. The study sample consisted of 77 industrial companies listed on the Amman Stock Exchange in Jordan for the period from 2006 to 2019. This study relied on the regression method to test the relationship between the study variables. The study findings showed that the cash flows from operating, investing, and financial activities have a statistically significant impact on predicting future earnings. The study also e
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Barth, Mary E., Donald P. Cram, and Karen K. Nelson. "Accruals and the Prediction of Future Cash Flows." Accounting Review 76, no. 1 (2001): 27–58. http://dx.doi.org/10.2308/accr.2001.76.1.27.

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Building on the Dechow et al. (1998) model of the accrual process, this study investigates the role of accruals in predicting future cash flows. The model shows that each accrual component reflects different information relating to future cash flows; aggregate earnings masks this information. As predicted, disaggregating accruals into major components—change in accounts receivable, change in accounts payable, change in inventory, depreciation, amortization, and other accruals—significantly enhances predictive ability. Each accrual component, including depreciation and amortization, is signific
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Meihami, Bahram, Zeinab Varmaghani, and Hussein Meihami. "An Investigation on the Earnings Quality in Companies (Evidence from Iran)." International Letters of Social and Humanistic Sciences 11 (September 2013): 91–99. http://dx.doi.org/10.18052/www.scipress.com/ilshs.11.91.

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A considerable focus of bottom-line income losses is important in the case of investigating quality of earnings. The future of stock returns is all associated with accruements that are in relation with reliability, and negativity. Earning increases that are accompanied by high accruals, suggesting inferiority of earnings, are related with poor future returns. This study describes the investigation of different hypotheses earnings manipulation, extrapolative fundaments about future growth, and under reaction to changes in business conditions to explain accruals’ predictive power. Differentiatio
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Mahrina, Helvoni, and Iwin Arnova. "Comparison of the Accuracy of Direct and Indirect Methods of Cash Flow Models in Predicting Future Profits." JAZ:Jurnal Akuntansi Unihaz 4, no. 1 (2021): 21. http://dx.doi.org/10.32663/jaz.v4i1.2085.

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Financial reports are part of the financial reporting process. Complete financial statements usually include balance sheets, income statements, statements of changes in financial position (which can be presented in various ways, for example, as cash flow statements, or cash flow statements), notes and other reports and explanatory material that are an integral part of the financial statements. . The purpose of this study is to provide empirical evidence whether a model with a direct cash flow component has a more accurate predictive ability than a model with an indirect cash flow component to
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Cowhey, Maureen, Seung Jung Lee, Thomas Popeck Spiller, and Cindy M. Vojtech. "Sentiment in Bank Examination Reports and Bank Outcomes." Finance and Economics Discussion Series, no. 2022-077 (November 2022): 1–46. http://dx.doi.org/10.17016/feds.2022.077.

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We investigate whether the bank examination process provides useful insight into bank future outcomes. We do this by conducting textual analysis on about 5,500 small to medium-sized commercial bank examination reports from 2004 to 2016. These confidential examination reports provide textual context to the components of supervisory ratings: capital adequacy, asset quality, management, earnings, and liquidity. Each component is given a categorical rating, and each bank is assigned an overall composite rating, which are used to determine the safety and soundness of banks. We find that, controllin
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Dawar, Varun. "The relative predictive ability of earnings and cash flows." Management Research Review 38, no. 4 (2015): 367–80. http://dx.doi.org/10.1108/mrr-06-2013-0156.

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Purpose – The purpose of this paper is to examine the relative predictive abilities of current earnings (and its components) and cash flows for next period cash flows in case of Shariah-compliant companies in India. Design/methodology/approach – The study uses the list of CRISIL NSE Index (CNX) Nifty Shariah Index companies as its sample for a period of 10 years for conducting the analysis. The study utilizes the cash flow prediction models to examine the relative predictive abilities of current earnings (and its components) and cash flows for next period cash flows. Findings – The study repor
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Zhou, Hui. "Hedging Performance and Fair-Value Financial Reporting: Evidence from Bank Holding Companies." Journal of Risk and Financial Management 16, no. 2 (2023): 65. http://dx.doi.org/10.3390/jrfm16020065.

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This study investigates whether the inclusion of the fair-value-based hedging performance measure improves the value and risk relevance of accounting earnings using data from the regulatory filings of bank holding companies required by the Federal Reserve Bank. Statement of Financial Accounting Standards No. 133 (SFAS 133) requires most types of hedge ineffectiveness to be measured on a fair value basis and reported in earnings. This earnings recognition requirement was the focal point of controversy surrounding the adoption of SFAS 133. This study provides new evidence that the fair-value-bas
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Dissertations / Theses on the topic "Component of Predictive Earning"

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Gumbi, Percy. "Predictive ability of current earnings and cash flows." Diss., University of Pretoria, 2012. http://hdl.handle.net/2263/29719.

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This research investigated the ability of current earnings and cash flows to predict future cash flows and future share prices. The investigation was conducted used financial information of JSE listed companies over a period between 2001 and 2011. The objectives of the research were to establish the predictive ability of current earnings and cash flows on future cash flows and share prices. This study was motivated by the findings of Kim and Kross (2005) where they consolidated the earlier findings by Collins et al. (1997) and Dechow et al. (1998).It was predetermined that the study would add
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Dinh, Duc-Hanh. "Opportunistic Predictive Maintenance for Multi-Component Systems with Multiple Dependences." Electronic Thesis or Diss., Université de Lorraine, 2021. http://www.theses.fr/2021LORR0171.

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Les dépendances (économiques, stochastiques et/ou structurelles) entre composants influencent de manière significative le processus de dégradation des composants ainsi que le processus de prise de décision en maintenance. En ce sens, la non prise en compte des dépendances entre composants dans la modélisation de la maintenance pourrait entraîner des surcoûts de maintenance et un planning de maintenance sous-optimal. En lien avec ces considérations de nombreux travaux en maintenance prédictive de systèmes multi-composants avec des dépendances entre composants ont été récemment faits. Cependant,
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Muncy, Jennifer V. "Predictive Failure Model for Flip Chip on Board Component Level Assemblies." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5131.

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Environmental stress tests, or accelerated life tests, apply stresses to electronic packages that exceed the stress levels experienced in the field. In theory, these elevated stress levels are used to generate the same failure mechanisms that are seen in the field, only at an accelerated rate. The methods of assessing reliability of electronic packages can be classified into two categories: a statistical failure based approach and a physics of failure based approach. This research uses a statistical based methodology to identify the critical factors in reliability performance of a flip chip
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Valko, Andras, and Antoine Homsi. "Predictive detection of epileptic seizures in EEG for reactive care." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-15078.

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It is estimated that 65 million people worldwide have epilepsy, and many of them have uncontrollable seizures even with the use of medication. A seizure occurs when the normal electrical activity of the brain is interrupted by sudden and unusually intense bursts of electrical energy, and these bursts can be observed and detected by the use of an electroencephalograph (EEG) machine. This work presents an algorithm that monitors subtle changes in scalp EEG characteristics to predict seizures. The algorithm is built to calibrate itself to every specifc patient based on recorded data, and is compu
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Nhaesi, Abdulghanni Hasan. "A study of the predictive models for the viscosity of multi-component liquid regular solutions." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0012/NQ52435.pdf.

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Marbach, Matthew James. "Use of principal component analysis with linear predictive features in developing a blind SNR estimation system /." Full text available online, 2006. http://www.lib.rowan.edu/find/theses.

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Lin, Haisheng. "The application of multivariate statistical analysis and batch process control in industrial processes." Thesis, University of Manchester, 2010. https://www.research.manchester.ac.uk/portal/en/theses/the-application-of-multivariate-statistical-analysis-and-batch-process-control-in-industrial-processes(a80fba25-82b1-4f55-a38e-c486262e18dd).html.

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To manufacture safe, effective and affordable medicines with greater efficiency, process analytical technology (PAT) has been introduced by the Food and Drug Agency to encourage the pharmaceutical industry to develop and design well-understood processes. PAT requires chemical imaging techniques to be used to collect process variables for real-time process analysis. Multivariate statistical analysis tools and process control tools are important for implementing PAT in the development and manufacture of pharmaceuticals as they enable information to be extracted from the PAT measurements. Multiva
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Di, Biase Emanuela. "Systematic development of predictive molecular models of high surface area activated carbons for the simulation of multi-component adsorption processes related to carbon capture." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/16155.

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Adsorption in porous materials is a promising technology for CO2 capture and storage. Particularly important applications are adsorption separation of streams associated with the fossil fuel power plants operation, as well as natural gas sweetening. High surface area activated carbons are a promising family of materials for these applications, especially in the high pressure regimes. As the streams under consideration are generally multi-component mixtures, development and optimization of adsorption processes for their separation would substantially benefit from predictive simulation models. I
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Abraham, Etimbuk. "Adaptive supervisory control scheme for voltage controlled demand response in power systems." Thesis, University of Manchester, 2018. https://www.research.manchester.ac.uk/portal/en/theses/adaptive-supervisory-control-scheme-for-voltage-controlled-demand-response-in-power-systems(3e64537d-52c7-4eb5-87f2-b73fe920b9cb).html.

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Radical changes to present day power systems will lead to power systems with a significant penetration of renewable energy sources and smartness, expressed in an extensive utilization of novel sensors and cyber secure Information and Communication Technology. Although these renewable energy sources prove to contribute to the reduction of CO2 emissions into the environment, its high penetration affects power system dynamic performance as a result of reduced power system inertia as well as less flexibility with regards to dispatching generation to balance future demand. These pose a threat both
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Lopez, Montero Eduardo. "Use of multivariate statistical methods for control of chemical batch processes." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/use-of-multivariate-statistical-methods-for-control-of-chemical-batch-processes(6cf45624-2388-4e85-b4c6-99503547ad06).html.

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In order to meet tight product quality specifications for chemical batch processes, it is vital to monitor and control product quality throughout the batch duration. However, the frequent lack of in situ sensors for continuous monitoring of batch product quality complicates the control problem and calls for novel control approaches. This thesis focuses on the study and application of multivariate statistical methods to control product quality in chemical batch processes. These multivariate statistical methods can be used to identify data-driven prediction models that can be integrated within a
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Books on the topic "Component of Predictive Earning"

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Crönert, Sebastian K. A Complete Methodology for the Predictive Simulation of Novel, Single- and Multi-Component Fuel Combustion. Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-43075-7.

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McChesney, R. D. Earning a Living. University of California Press, 2017. http://dx.doi.org/10.1525/california/9780520294134.003.0005.

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In that part of Central Asia now known as the country of Afghanistan, the patterns of present-day religious expression and identity were set in the 16th and 17th centuries. The region was a frontier connecting three expansive states whose politics shaped the embedding of religious traditions. The long Iranian presence in the south and west infused Imam Shafiism in the central and western parts of Afghanistan while the influence of the intellectual heritage of Central Asia assured the dominance of Hanafi Sunnism in the north and eastern parts of the region. Sufism with its “thousand Ways” and u
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Crönert, Sebastian K. Complete Methodology for the Predictive Simulation of Novel, Single- and Multi-Component Fuel Combustion. Springer Fachmedien Wiesbaden GmbH, 2023.

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Moser, Paul K. Paul the Apostle. Edited by William J. Abraham and Frederick D. Aquino. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199662241.013.19.

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This chapter shows that the apostle Paul had a distinctive epistemology regarding human knowledge of God. It is a pneumatic wisdom epistemology, owing to its role, in human knowledge of God, for the Spirit of God and for a special kind of wisdom linked to Jesus Christ. Paul’s epistemology is centrally Christological, because the aforementioned Spirit and wisdom are the Spirit and wisdom of Jesus Christ. The chapter explains how Paul’s epistemology is grace-oriented given its implication that God relates to humans in a way that undermines the human earning of divine favour. It identifies how ‘c
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Cheng, Russell. Finite Mixture Examples; MAPIS Details. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0018.

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Two detailed numerical examples are given in this chapter illustrating and comparing mainly the reversible jump Markov chain Monte Carlo (RJMCMC) and the maximum a posteriori/importance sampling (MAPIS) methods. The numerical examples are the well-known galaxy data set with sample size 82, and the Hidalgo stamp issues thickness data with sample size 485. A comparison is made of the estimates obtained by the RJMCMC and MAPIS methods for (i) the posterior k-distribution of the number of components, k, (ii) the predictive finite mixture distribution itself, and (iii) the posterior distributions o
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Beavers, John, and Andrew Koontz-Garboden. The Roots of Verbal Meaning. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198855781.001.0001.

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This book explores possible and impossible word meanings, with a specific focus on the meanings of verbs. It adopts the now common view that verb meanings consist at least partly of an event structure, made up of an event template describing the verb’s broad temporal and causal contours that occurs across lots of verbs and groups them into semantic and grammatical classes, plus an idiosyncratic root describing specific, real world states and actions that distinguish verbs with the same template. While much work has focused on templates, less work has addressed the truth conditional contributio
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Belia, Evangelia, Lorenzo Benedetti, Bruce Johnson, et al., eds. Uncertainty in Wastewater Treatment Design and Operation. IWA Publishing, 2021. http://dx.doi.org/10.2166/9781780401034.

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Uncertainty in Wastewater Treatment Design and Operation aims to facilitate the transition of the wastewater profession to the probabilistic use of simulators with the associated benefits of being better able to take advantage of opportunities and manage risk. There is a paradigm shift taking place in the design and operation of treatment plants in the water industry. The market is currently in transition to use modelling and simulation while still using conventional heuristic guidelines (safety factors). Key reasons for transition include: wastewater treatment simulation software advancements
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Book chapters on the topic "Component of Predictive Earning"

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Ji, Bongjun, Hyunseop Park, Kiwook Jung, et al. "A Component Selection Method for Prioritized Predictive Maintenance." In Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66923-6_51.

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Hu, Changhua, Hongdong Fan, and Zhaoqiang Wang. "Cooperative Predictive Maintenance of Two-Component System with Limited Resources." In Residual Life Prediction and Optimal Maintenance Decision for a Piece of Equipment. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2267-0_12.

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Arsan, Taner, and Tuncay Saydam. "A Software Component Architecture for Adaptive and Predictive Rate Control of Video Streaming." In Advances in Computer and Information Sciences and Engineering. Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-8741-7_93.

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Rathfelder, Christoph, David Evans, and Samuel Kounev. "Predictive Modelling of Peer-to-Peer Event-Driven Communication in Component-Based Systems." In Computer Performance Engineering. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15784-4_15.

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Furumura, Takashi, and Kazuki Koketsu. "Parallel 3-D Simulation of Ground Motion for the 1995 Kobe Earthquake: The Component Decomposition Approach." In Microscopic and Macroscopic Simulation: Towards Predictive Modelling of the Earthquake Process. Birkhäuser Basel, 2000. http://dx.doi.org/10.1007/978-3-0348-7695-7_13.

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Al-Jubouri, Bassma, and Bogdan Gabrys. "Diversity and Locality in Multi-Component, Multi-Layer Predictive Systems: A Mutual Information Based Approach." In Advanced Data Mining and Applications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69179-4_22.

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Dolce, Pasquale, Vincenzo Esposito Vinzi, and Carlo Lauro. "Predictive Path Modeling Through PLS and Other Component-Based Approaches: Methodological Issues and Performance Evaluation." In Partial Least Squares Path Modeling. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64069-3_7.

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Al-Said, Shahad, Oğuz Findik, Baktygul Assanova, Saltanat Sharmukhanbet, and Nurgul Baitemirova. "Enhancing Predictive Maintenance in Manufacturing: A CNN-LSTM Hybrid Approach for Reliable Component Failure Prediction." In Studies in Systems, Decision and Control. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-51997-0_11.

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Liu, Yong, Austin Ford Ramsey, and Ziqin Zhou. "Model and Forecast Combination for Predictive Yield Distributions in Crop Insurance." In Springer Actuarial. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-80574-5_8.

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Abstract Multiple-peril crop insurance policies require statistical modeling of probability distributions of crop yields. Unfortunately, no single parametric distribution is likely to capture the true data generating process. Likewise, non-parametric approaches converge to the true distribution at a slow rate; yield histories are often of modest size. Recognizing these shortcomings, model and forecast combination are now being applied in crop insurance settings. Model and forecast combination avoid the dangers inherent in selecting a single model for the predictive yield distribution. The comp
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Vannucci, Giulia, Anna Gottard, Leonardo Grilli, and Carla Rampichini. "Random effects regression trees for the analysis of INVALSI data." In Proceedings e report. Firenze University Press, 2021. http://dx.doi.org/10.36253/978-88-5518-304-8.07.

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Mixed or multilevel models exploit random effects to deal with hierarchical data, where statistical units are clustered in groups and cannot be assumed as independent. Sometimes, the assumption of linear dependence of a response on a set of explanatory variables is not plausible, and model specification becomes a challenging task. Regression trees can be helpful to capture non-linear effects of the predictors. This method was extended to clustered data by modelling the fixed effects with a decision tree while accounting for the random effects with a linear mixed model in a separate step (Hajje
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Conference papers on the topic "Component of Predictive Earning"

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Moreira, Margarida, Eliseu Pereira, and Gil Gonçalves. "Data-Driven Predictive Maintenance for Component Life-Cycle Extension." In 21st International Conference on Informatics in Control, Automation and Robotics. SCITEPRESS - Science and Technology Publications, 2024. http://dx.doi.org/10.5220/0013014200003822.

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Kiforenko, Oksana. "International Trade as a Component for a Country's Resilience to War: Case Study – Ukraine." In 25th International Joint Conference Central and Eastern Europe in the Changing Business Environment. Vydavateľstvo EKONÓM, 2025. https://doi.org/10.53465/ceecbe.2025.9788022552257.155-169.

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Building resilience to such an influential process as a war, that is the ability to adapt well to unexpected changes and events arising in the course of its going on, is a vital necessity for either a country's survival or its rebuilding in the after-war period. International trade is one of the most powerful tools for building resilience against human-made challenges like a war. International trade is an important source of money earning for Ukraine and it increased in its importance with the war actions going on on its territory. The following tools and methods of scientific research were us
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Chen, Haotian, Shihan Wang, and Yan Ma. "Momentum Study Based on Principal Component Analysis and GCPN-R Predictive Models." In 2025 International Conference on Electrical Drives, Power Electronics & Engineering (EDPEE). IEEE, 2025. https://doi.org/10.1109/edpee65754.2025.00108.

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Dimidov, Valeriu, Sasan Jafarnejad, and Raphaël Frank. "An Empirical Study on Predictive Maintenance for Component X in Heavy-Duty Scania Trucks." In 2025 IEEE International Conference on Prognostics and Health Management (ICPHM). IEEE, 2025. https://doi.org/10.1109/icphm65385.2025.11061822.

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Shukla, Pavan K., and Osvaldo Pensado. "Development of Adaptive-Predictive Probabilistic Methodology for Forecasting Localized-Corrosion-Induced Damage." In CORROSION 2013. NACE International, 2013. https://doi.org/10.5006/c2013-02615.

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Abstract This paper presents development of an adaptive-predictive probabilistic methodology for forecasting localized-corrosion-induced pit population and pit depth distributions. Nuclear power plant (NPP) operators are required to periodically inspect components by visual and volumetric examinations to maintain integrity and ensure safety. However, as NPPs age, more frequent inspections would be needed to maintain component integrity. To define inspection schedules, a framework is needed that balances risk and cost and ensures safety. This paper presents a methodology, including a model that
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Matthews, Rhea, Abdel Bayoumi, Hailey Westerman, Noah Parker, Kenneth Ryan, and Ciarra Lorusso. "Ultra Heavy Vertical Lift: From Concept to Component." In Vertical Flight Society 81st Annual Forum and Technology Display. The Vertical Flight Society, 2025. https://doi.org/10.4050/f-0081-2025-371.

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Research into the feasibility of a scaled rim-drive propulsion product to enable ultra-heavy vertical lift (UHVL) is ongoing at the University of South Carolina in partnership with KRyanCreative, LLC, a start-up aerospace small business. The research team is advancing a superconductive design concept for a rotor system that delivers significant performance gains and flight envelope expansion disruptive to the vertical lift transportation sector. The team has conceived a novel electric tip-driven ducted propulsor to guide architectural and engineering investigations that improve hover and acous
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Abdelghany, Muhammad Bakr, Ahmed Al-Durra, Hatem H. Zeineldin, and Fei Gao. "Model Predictive Control for Enhanced Output Power Smoothing and Extended Component Lifespan in Solar-Microgrids with Hydrogen Storage System." In 2024 IEEE Industry Applications Society Annual Meeting (IAS). IEEE, 2024. https://doi.org/10.1109/ias55788.2024.11023725.

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Hayden, Thomas, Joseph Mazzella, Keith Parker, and Christophe Baete. "Predictive Analytics and Machine Learning in Integrated External Corrosion Management." In CONFERENCE 2023. AMPP, 2023. https://doi.org/10.5006/c2023-19393.

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Abstract Integrated External Corrosion Management (IECM) is a novel framework developed for pipeline operators to model, identify, and optimize external corrosion risk and costs using a data-driven approach. Over the last decade, Machine Learning (ML) has transformed industries from consumer technology to product design to industrial systems. In corrosion, the Association for Materials Protection and Performance (AMPP) has added a symposium for specialists designing and optimizing machine learning algorithms detection and management. This work is not about a specific algorithm or technology se
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Putnam, Jacob, Justin Littell, Nathaniel Gardner, and Matlock Mennu. "Component Characterization of an eVTOL Reference Model for Crashworthiness Studies." In Vertical Flight Society 80th Annual Forum & Technology Display. The Vertical Flight Society, 2024. http://dx.doi.org/10.4050/f-0080-2024-1059.

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Researchers at the National Aeronautics and Space Administration (NASA) Langley Research Center (LaRC) have conducted a series of structural component and seat level tests to improve finite element model (FEM) characterization of a representative vertical take-off and landing (eVTOL) test article developed by NASA. A full-scale dynamic test was conducted on the representative eVTOL test article in November of 2022. The test article represented a high wing, six passenger eVTOL design concept and is referred to as the lift plus cruise (LPC) test article. The full-scale test identified limitation
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Crompton, Andrew M., and Peter A. Wood. "Predictive Analytics for Safety Related Service Water Systems." In CORROSION 2014. NACE International, 2014. https://doi.org/10.5006/c2014-4368.

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Abstract As the age of systems, structures, and components (SSC) in nuclear power plants increase so does the level of effort to manage their aging. Half of the nation’s nuclear plants are over 30 years old with essentially all of the remainder older than 20 years. For safety related service water systems, operating experience (OE) has shown that life spans of 25 years or more can be achieved without significant or concerted attention to mitigate internal corrosion. Nonetheless, plants are being challenged, by regulators and plant management, to define where their service water systems are in
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Reports on the topic "Component of Predictive Earning"

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Haddock, John, Bob McCullouch, Richard Domonkos, and Etienne Atisso. Development of Standardized Component-Based Equipment Specifications and Transition Plan into a Predictive Maintenance Strategy. Purdue University, 2015. http://dx.doi.org/10.5703/1288284316013.

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O’Keeffe, Hannah, and Katerina Petrova. Component-Based Dynamic Factor Nowcast Model. Federal Reserve Bank of New York, 2025. https://doi.org/10.59576/sr.1152.

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In this paper, we propose a component-based dynamic factor model for nowcasting GDP growth. We combine ideas from “bottom-up” approaches, which utilize the national income accounting identity through modelling and predicting sub-components of GDP, with a dynamic factor (DF) model, which is suitable for dimension reduction as well as parsimonious real-time monitoring of the economy. The advantages of the new model are twofold: (i) in contrast to existing dynamic factor models, it respects the GDP accounting identity; (ii) in contrast to existing “bottom-up” approaches, it models all GDP compone
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Gómez Loscos, Ana, Miguel Ángel González Simón, and Matías José Pacce. Short-term real-time forecasting model for spanish GDP (Spain-STING): new specification and reassessment of its predictive power. Banco de España, 2024. http://dx.doi.org/10.53479/36137.

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The predictive power of short-term forecasting models was impaired by the increased volatility observed in most economic indicators following the outbreak of COVID-19. This paper sets out a revision of the Spain-STING model (one of the tools used by the Banco de España for short-term forecasts of quarter-on-quarter GDP growth) with a view to improving its predictive power in the wake of the pandemic. In particular, the revision entails three main changes: (i) the correlation between the indicators included in the model and the estimated common component is now coincident for all of the indicat
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Garciga, Christian L., Randal J. Verbrugge, and Saeed Zaman. The Effect of Component Disaggregation on Measures of the Median and Trimmed-Mean CPI. Federal Reserve Bank of Cleveland, 2024. http://dx.doi.org/10.26509/frbc-wp-202402.

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For decades, the Federal Reserve Bank of Cleveland (FRBC) has produced median and trimmed-mean consumer price index (CPI) measures. These have proven useful in various contexts, such as forecasting and understanding post-COVID inflation dynamics. Revisions to the FRBC methodology have historically involved increasing the level of disaggregation in the CPI components, which has improved accuracy. Thus, it may seem logical that further disaggregation would continue to enhance its accuracy. However, we theoretically demonstrate that this may not necessarily be the case. We then explore the empiri
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Orbeta, Aniceto Jr, Marife Ballesteros, John Paul Corpus, Vicente Paqueo, and Celia Reyes. Impacts of the Sustainable Livelihood Program's Microenterprise Development Assistance with Seed Capital Fund on Poor Households in the Philippines. Philippine Institute for Development Studies, 2020. https://doi.org/10.62986/dp2020.36.

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This study evaluates the impact of Microenterprise Development (MD) assistance on the labor supply, income, expenditure, savings, and capital investment of beneficiaries of Pantawid Pamilya, the Philippine governments conditional cash transfers (CCT) program. The assistance is provided by the Sustainable Livelihood Program (SLP) of the Department of Social Welfare and Development. MD assistance consists of capacity building, group formation, and grants. We focus on MD assistance where the grant component consisted of the Seed Capital Fund (SCF)--a grant worth a maximum of PhP10,000 per benefic
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Cherian, Jerald, Jodi Segal, Ritu Sharma, Allen Zhang, Eric Bass, and Michael Rosen. Patient Safety Practices Focused on Sepsis Prediction and Recognition. Agency for Healthcare Research and Quality (AHRQ), 2024. http://dx.doi.org/10.23970/ahrqepc_mhs4sepsis.

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Objectives. Patient safety practices (PSPs) focused on sepsis prediction and recognition, encompass interventions designed to identify patients with sepsis early and improve timely adherence to guidelines. Our objectives were to review the evidence published after the previous Making Healthcare Safer (MHS) report to determine the effectiveness of sepsis prediction and recognition PSPs on patient safety related outcomes. Methods. We searched PubMed and the Cochrane library for systematic reviews and primary studies published from January 2018 through August 2023, supplemented by gray literature
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