Results 11 to 20 of about 32,258 (304)
A stochastic approach to forecast project duration
Journal of Management and Science, 2022 For executives who track projects on a complete / failed basis, at each phase of the project, the project completion date may be adjusted using only stochastic calculations in closed form. The proposed method to predict the final project duration may be interpreted intuitively.
null I Neroslavsky, null O. Neroslavsky
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Stochastic Earned Duration Analysis for Project Schedule Management
Engineering, 2022 Earned duration management (EDM) is a methodology for project schedule management (PSM) that can be considered an alternative to earned value management (EVM).
Fernando Acebes +3 more
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Volatility Estimation and Forecasts Based on Price Durations [PDF]
Journal of Financial Econometrics, 2021 Abstract We investigate price duration variance estimators that have long been neglected in the literature. In particular, we consider simple-to-construct non-parametric duration estimators, and parametric price duration estimators using autoregressive conditional duration specifications.
Seok Young Hong +3 more
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Journal of Marine Science and Engineering, 2023 Marine heatwaves (MHWs) are becoming increasingly frequent and intense around China, impacting marine ecosystems and coastal communities. Accurate forecasting of MHWs is crucial for their management and mitigation.
Yiwen Li +6 more
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A comparison of financial duration models via density forecasts [PDF]
International Journal of Forecasting, 2004 Using density forecast evaluation techniques, we compare the predictive performance of econometric specifications that have been developed for modeling duration processes in intra-day financial markets. The model portfolio encompasses various variants of the Autoregressive Conditional Duration (ACD) model and recently proposed dynamic factor models ...
Bauwens, Luc +3 more
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Residential Power Forecasting Based on Affinity Aggregation Spectral Clustering
IEEE Access, 2020 Power utility companies rely on forecasting to anticipate future consumption needs, plan power production, and schedule the selling/purchasing of power. We present a novel method to forecast the power consumption of a single house based on non-intrusive ...
Chinthaka Dinesh +2 more
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A New Deep Learning-Based Zero-Inflated Duration Model for Financial Data Irregularly Spaced in Time
Frontiers in Physics, 2021 In stock trading markets, trade duration (i. e., inter-arrival times of trades) usually exhibits high uncertainty and excessive zero values. To forecast conditional distribution of trade duration, this study proposes a hybrid model called “DL-ZIACD” for ...
Yong Shi +9 more
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Progress in large-shared projects : method for forecasting and optimizing project duration in a distributed project [PDF]
, 2008 In large-shared projects, it is still difficult to measure progress due to the complexities involved, because the realization is shared among departments of a company or among companies in the world.
Philippe Duquenne +5 more
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The duration of economic expansions and recessions: more than duration dependence [PDF]
, 2008 One widespread idea in the business cycles literature is that the older is an expansion or contraction, the more likely it is to end. This paper tries to provide further empirical support for this idea of positive duration dependence and, at the same ...
Vitor Manuel Alves Castro +1 more
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Electric Vehicles Plug-In Duration Forecasting Using Machine Learning for Battery Optimization
Energies, 2020 The aging of rechargeable batteries, with its associated replacement costs, is one of the main issues limiting the diffusion of electric vehicles (EVs) as the future transportation infrastructure.
Yukai Chen +5 more
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