Costs, Loss, and Forecasting Error

Costs, Loss, and Forecasting Error PDF Author: Lloyd Douglas Teigen
Publisher:
ISBN:
Category :
Languages : en
Pages : 452

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Costs, Loss, and Forecasting Error

Costs, Loss, and Forecasting Error PDF Author: Lloyd Douglas Teigen
Publisher:
ISBN:
Category :
Languages : en
Pages : 452

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Book Description


Characterization of the Cost of Forecast Error in a Complex Supply Chain

Characterization of the Cost of Forecast Error in a Complex Supply Chain PDF Author: Chris David Schechter
Publisher:
ISBN:
Category :
Languages : en
Pages : 93

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Book Description


Government Budget Forecasting

Government Budget Forecasting PDF Author: Jinping Sun
Publisher: Routledge
ISBN: 1351565117
Category : Political Science
Languages : en
Pages : 637

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Book Description
Revenue and expenditure forecasting plays an important role in public budgeting and financial management, particularly during times of financial constraint, when citizens impose greater accountability upon government to use taxpayer dollars more efficiently. Despite its significance, revenue and expenditure forecasting is often overlooked in the budget process, and there is an imbalance between practice and research in this area. Based on the collaboration of budget scholars and practitioners, Government Budget Forecasting fulfills two purposes: Enhances the understanding of revenue and expenditure estimation both theoretically and practically Stimulates dialogue and debate among practitioners and academicians to identify good forecast practices as well as areas for improvement Divided into four parts, this comprehensive reference first examines forecast practices at the federal, state, and local levels, drawing on case studies that include California, Texas, and Louisiana. It then explores consensus systems and risk assessment, considering political factors and the costs of forecast errors. The text concludes with a call to transparency and guidance from a code of ethics, and a look at forecasting practices in emerging countries.

Time Series and Panel Data Econometrics

Time Series and Panel Data Econometrics PDF Author: M. Hashem Pesaran
Publisher: Oxford University Press
ISBN: 0191058475
Category : Business & Economics
Languages : en
Pages : 1443

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Book Description
This book is concerned with recent developments in time series and panel data techniques for the analysis of macroeconomic and financial data. It provides a rigorous, nevertheless user-friendly, account of the time series techniques dealing with univariate and multivariate time series models, as well as panel data models. It is distinct from other time series texts in the sense that it also covers panel data models and attempts at a more coherent integration of time series, multivariate analysis, and panel data models. It builds on the author's extensive research in the areas of time series and panel data analysis and covers a wide variety of topics in one volume. Different parts of the book can be used as teaching material for a variety of courses in econometrics. It can also be used as reference manual. It begins with an overview of basic econometric and statistical techniques, and provides an account of stochastic processes, univariate and multivariate time series, tests for unit roots, cointegration, impulse response analysis, autoregressive conditional heteroskedasticity models, simultaneous equation models, vector autoregressions, causality, forecasting, multivariate volatility models, panel data models, aggregation and global vector autoregressive models (GVAR). The techniques are illustrated using Microfit 5 (Pesaran and Pesaran, 2009, OUP) with applications to real output, inflation, interest rates, exchange rates, and stock prices.

Accuracy Measures and the Evaluation of Forecasts

Accuracy Measures and the Evaluation of Forecasts PDF Author: Essam Malmoud
Publisher:
ISBN:
Category :
Languages : en
Pages : 39

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Book Description


Short-Term Load Forecasting 2019

Short-Term Load Forecasting 2019 PDF Author: Antonio Gabaldón
Publisher: MDPI
ISBN: 303943442X
Category : Technology & Engineering
Languages : en
Pages : 324

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Book Description
Short-term load forecasting (STLF) plays a key role in the formulation of economic, reliable, and secure operating strategies (planning, scheduling, maintenance, and control processes, among others) for a power system and will be significant in the future. However, there is still much to do in these research areas. The deployment of enabling technologies (e.g., smart meters) has made high-granularity data available for many customer segments and to approach many issues, for instance, to make forecasting tasks feasible at several demand aggregation levels. The first challenge is the improvement of STLF models and their performance at new aggregation levels. Moreover, the mix of renewables in the power system, and the necessity to include more flexibility through demand response initiatives have introduced greater uncertainties, which means new challenges for STLF in a more dynamic power system in the 2030–50 horizon. Many techniques have been proposed and applied for STLF, including traditional statistical models and AI techniques. Besides, distribution planning needs, as well as grid modernization, have initiated the development of hierarchical load forecasting. Analogously, the need to face new sources of uncertainty in the power system is giving more importance to probabilistic load forecasting. This Special Issue deals with both fundamental research and practical application research on STLF methodologies to face the challenges of a more distributed and customer-centered power system.

Characterization of the Cost of Forecast Error in a Complex Supply Chain

Characterization of the Cost of Forecast Error in a Complex Supply Chain PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
By Chris Schechter.

Problems in Marketing

Problems in Marketing PDF Author: Luiz Moutinho
Publisher: SAGE
ISBN: 1849202621
Category : Business & Economics
Languages : en
Pages : 337

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Book Description
Fully revised and updated, Problems in Marketing includes over 50 new problems. This varied and challenging collection of problems has been written as a learning aid to any marketing textbook. The problems cover a wide range of marketing practice, each problem concentrating on a single concept or technique of marketing management. Problems begin with a full introduction to the concept followed by explicit instructions for solving them. This leads directly to a series of discussion questions to further enhance the application of each problem. Solutions are also available to lecturers by clicking on the companion website logo above.

Technical Paper

Technical Paper PDF Author:
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 528

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Book Description


Integrative Long-Term Supply Chain Demand Planning

Integrative Long-Term Supply Chain Demand Planning PDF Author: Solveig Zinnert
Publisher: Logos Verlag Berlin GmbH
ISBN: 3832526633
Category : Business & Economics
Languages : en
Pages : 114

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Book Description
Integrative planning in supply chains is an essential field in logistics management. But still there are open questions especially in a long-term perspective: In order to align strategic decisions of several supply chain partners an integrated long-term demand planning process is necessary but in many industries sill mission. This would enable companies for example to co-ordinate their long-term investments in production facilities as well as transport and storage capacities and therefore increase overall efficiency in supply chains. This edition gives a very good outline about the basic problem, providing further an innovative stepwise approach to solve the integrated planning problem. The concept is matched with the business case 'BP' as a typical company and industry with influential long-term changes ahead. By this business example implementation the real life value of such planning instruments can be shown. This will motivate many companies and industries to transfer the concept to their specific environments in order to further optimize their supply chains in the future.