Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 13 of 13 for “"Distress Prediction"”.
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Corporate governance and financial distress prediction in the UK.
Prediction of financial distress has been a topic of much interest to companies and all interested stakeholders (Wanke et al. 2015). Investors, debt holders, creditors, employees, governments, auditors and the society in general, are all affected in one way or the other when firms become …
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The use of recursive partitioning to build a financial distress prediction for JSE listed companies
… of 2008 increased the focus around financial distress and even more so on predicting financially distressed companies prior to the fact. This research paper investigates using recursive partitioning to predict financially distressed companies on the Johannesburg Stock Exchange, taking …
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Validating the empirical distress prediction models within the AASHTOWare Pavement Mechanistic-Empirical Design, using Tennessee pavement performance data from the Long Term Pavement Performance database
… principles outlined in MEPDG. However, empirical distress prediction models integrated into PMED were developed and calibrated using national data, necessitating validation and local calibration before implementation on a local scale. Moreover, updates to PMED present possibilities for continuous …
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A classic statistical model developed towards predicting financial distress
… significant research on the topic of financial distress prediction, due to its relevance to various stakeholders. Beaver (1966), Altman (1968) and Ohlson (1980) are generally regarded as the pioneers in this field of study, despite heavy criticism their models are widely accepted and used. …
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Designing Machine Learning Models to Predict Financial Distress in NYSE and NASDAQ Companies
… to improve the early identification of financial distress and manipulation risk among firms listed on the NYSE and NASDAQ. Drawing on Merton’s strain theory as an integrative framework, the research conceptualizes financial distress not merely as an accounting outcome, but as a response to …
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An assessment and comparison of bankruptcy prediction models in forecasting the financial distress of JSE-listed companies over a twenty-year period (2000 to 2020)
… ratios have traditionally been used as inputs in distress prediction models. Considering this context, a study of the comparative performance of various models was undertaken, with the model set including multiple discriminant analysis, logit, probit, recursive partitioning and non-financial …
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Impact of financial distress on UK bank performance and customer loyalty : an empirical study.
… terms of emphasising the need to apply financial distress prediction models to examine the performance of UK banks. This work aims at empirically examining and analysing the performance of UK retail banks amid the financial crisis, covering three periods: before, during and afterwards. In doing …
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A Study of the Mechanistic-Empirical Pavement Design Guide for South Carolina
… mechanistic-empirical analyses and performance predictions. This report summarizes a research effort undertaken to assist the South Carolina Department of Transportation (SCDOT) with the development of an implementation strategy that will ultimately allow the SCDOT to take advantage of the …
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Local calibration of the MEPDG prediction models for pavement rehabilitation and evaluation of top-down cracking for Oregon Roadways
… A detailed comparison of predictive and measured distresses was made using the MEPDG released software Darwin M-E (Version 1.1). It was found that Darwin M-E predictive distresses did not accurately reflect measured distresses, calling for a local calibration of performance prediction models was …
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Risk Analysis and Reliability Improvement of Mechanistic-Empirical Pavement Design
… defined as the probability that each of the key distress types and smoothness will be less than a selected critical level over the design period. For such a complex system as the MEPDG which does not have closed-form design equations, classic reliability methods are not applicable. A robust …
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Integrated transportation monitoring system for both pavement and traffic
… each passing vehicle are also used for pavement distress prediction. For traffic monitoring purpose, the horizontal strain traces are analyzed with a Gaussian model to estimate the speed, wandering position, weight and classification of each passing vehicle. The whole system, including the …
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Early-age behavior of CRCP and its implications for long-term performance
… to concrete is estimated over time, and pavement distress is predicted using empirically derived distress models. The reliability of the current CRCP design procedures depends, to a large extent, on the accuracy of the empirically derived distress models. The primary objective of this study is to …
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Super Heavy Load Pavement Analysis PaCKage (SuperPACK): Verification and Modification
Super Heavy Load Pavement Analysis PaCKage (SuperPACK(TM)) is an analysis tool that has been under development by the Pavement Engineering and Science (PES) Program. This analysis tool is intended to be the culmination of the Federal Highway Administration (FHWA) study, Analysis Procedures for …