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 20 of 1609 for “"forecast"”.
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A Forecast
A Forecast is a manuscript of poems that explores themes of longing, loss, uncertainty, time, place, and love. The poems also attempt to explore and adorn these themes through inventiveness and imagination. While inhabiting this imaginative landscape, the poems play with notions of perception, …
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Global Demand Forecast Model
Air transportation demand forecasting is a core element in aviation planning and policy decision making. NASA Langley Research Center addressed the need of a global forecast model to be integrated into the Transportation Systems Analysis Model (TSAM) to fulfil the vision of the Aeronautics Research …
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Improving forecast accuracy and use
Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2003.
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Improving automotive battery sales forecast
Improvement in sales forecasting allows firms not only to respond quickly to customers' needs but also to reduce inventory costs, ultimately increasing their profits. Sales forecasts have been studied extensively to improve their accuracy in many different fields. However, for automotive batteries, …
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Forecast of Virginia coal production
This thesis provides a model for forecasting coal production rates in southwest Virginia. A multiple linear regression model is developed for the forecasting process. The model includes six independent variables: Virginia coal price times Virginia coal mining productivity (x₁), Virginia mining …
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Forecast combination in revenue management demand forecasting.
The domain of multi level forecast combination is a challenging new domain containing a large potential for forecast improvements. This thesis presents a theoretical and experimental analysis of different types of forecast diversification on forecast error covariances and resulting combined …
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Learning to trust in forecast information sharing
… discussion of Özer et al. (2011) on trust in forecast information sharing. We propose a method for belief learning and for updating. The effects of production cost (which indicate the risk) and market uncertainty (which indicates the accuracy of the private information) are analyzed …
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Vendor-managed Inventory forecast optimization and integration
… benefit from using VMI information to improve forecasting. First, this thesis discusses a novel way to compare those forecasts at downstream and upstream demand planning levels. Forecast errors are calculated in relation to the forecast data aggregation levels. Second, a causal model is used to …
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A Framework for Analyzing Forecast Accuracy Metrics
Demand Planning forecasts at Nike, Inc. are used by many groups: Supply Planning/Materials Planning, Sourcing, Categories/Merchandising, Finance, S&OP, and Sales. These groups take forecasts as an input to make key decisions. Forecasts, by nature, will be inaccurate. There are two big unknowns to …
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Data Center Load Forecast Using Dependent Mixture Model
… to reduce the data center energy use. Load forecasting plays a vital role in both efficient scheduling and operating a data center as a virtual power plant. In this thesis work a stochastic method, based on dependent mixtures is developed to model the data center load and is used for …
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Forecast of Chinese Investment in US Shale Gas
<p>This thesis will make a forecast of the future growth of Chinese investment in the US shale gas industry in the short term (within the next 5 years) and in the long term (in more than 10 years). The thesis's purpose is to study the purpose, trend as well as the impact on China itself in China's …
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Analysts' forecast as rational expectations of company earnings
Includes bibliographical references (leaves 119-125).
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Effect of override size on forecast value add
Business forecasting frequently combines quantitative time series techniques with qualitative expert opinion overrides to create a final consensus forecast. The objective of these overrides is to reduce forecast error, which enables safety stock reduction, customer service improvement, and …
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Short-to-medium term dengue forecast in Singapore
… resolved accurate short-to-medium term dengue forecast systems, informed by mechanistic understanding of dengue transmission from previous field studies. Such systems could improve our understanding of factors that influence the transmission of dengue fever in Singapore, and potentially be used …
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Forecast-driven tactical planning models for manufacturing systems
… variable operating costs, in the face of forecast uncertainty, raw material arrival uncertainty and in-process failure. We develop a dynamic-programming-based tactical model to capture the key uncertainties and trade-offs, and to determine the minimum-cost operating tactics. The tactics …
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Using Mixed Frequency Data to Forecast Recessions and GDP
… frequency time series data should be used to forecast recessions in the US and Canada, as well as GDP in a selection of OECD countries. The first chapter combines daily and weekly financial data with monthly macroeconomic indicators in a mixed frequency probit (MFP) regression to forecast and …
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A framework to analyze management's voluntary forecast disclosure decisions
Made available in DSpace on 2011-05-07T12:57:51Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 9114476.pdf: 5685825 bytes, checksum: 54deeb229a8dbd3af97a061c4ee4bcf4 (MD5) Previous issue date: 1990
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Essays in Hierarchical Time Series Forecasting and Forecast Combination
… of three original contributions to empirical forecasting research. Chapter 1 introduces the dissertation. Chapter 2 contributes to the literature on hierarchical time series (HTS) modelling by proposing a disaggregated forecasting system for both inflation rate and its volatility. Using …
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