Business Forecasting, Second Edition pdf epub mobi txt 电子书下载 2026

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出版者:Routledge

作者:A. Reza Hoshmand

出品人:

页数:384

译者:

出版时间:2009-11-19

价格:USD 49.95

装帧:Paperback

isbn号码:9780415988568

丛书系列:

图书标签:

Business Forecasting
Forecasting
Time Series Analysis
Demand Planning
Statistical Modeling
Supply Chain
Inventory Management
Business Analytics
Data Science
Economics

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具体描述

The information age has brought greater interconnection across the world, and transformed the global marketplace. To remain competitive, business firms look for ways of improving their ability to gauge business and economic conditions around the world. At the same time, advances in technology have revolutionized the way we process information and prepare business and economic forecasts. Secondary data searches, data collection, data entry and analysis, graphical visualization, and reporting can all be accomplished with the help of computers that provide access to information not previously available. Forecasters should therefore learn the techniques and models involved, as applied in this new era. Business Forecasting: A Practical Approach is intended as an applied text for students and practitioners of forecasting who have some background in economics and statistics. The presentation is conceptual in nature with emphasis on rationale, application, and interpretation of the most commonly used forecasting techniques. The goal of this book is to provide students and managers with an overview of a broad range of techniques and an understanding of the strengths and weaknesses of each approach. It is based on the assumption that forecasting skills are best developed and retained by starting with simple models, followed by repeated exposure to real world examples. The book makes extensive use of international examples to amplify concepts.

《Business Forecasting, Second Edition》是一部旨在为读者提供全面而深入了解商业预测理论与实践的权威著作。这本书系统地探讨了商业预测的重要性及其在现代企业运营中的核心作用，帮助读者理解这一领域如何成为战略决策的支撑。内容涵盖了从基础概念到高级分析方法的各个层面，通过详细的章节结构和丰富的实例，使学习过程既科学又易行。书中首先对商业预测的基本原理进行了系统梳理，解析其在市场分析、风险评估和资源分配中的关键作用。作者深入剖析了历史数据与前瞻性预测之间的关系，强调了准确预测对于企业竞争力的必要性。接下来部分专注于具体方法论，详细介绍了量化模型、定性分析以及混合方法的应用，帮助读者掌握多种工具在不同情境下的优用场景。这些章节不仅对理论提供了坚实基础，还结合真实案例展示了预测成果如何转化为实际利益。书中还特别关注行业差异与文化因素对预测准确性的影响，强调了全球市场中的复杂性以及灵活调整方法的重要性。通过深入分析企业面临的挑战，如数据获取难度、市场不确定性等，作者为读者提供了应对策略和风险管理建议。这一部分不仅体现了理论深度，还具备较强的实践指导性，特别适合希望在实际操作中提升预测能力的人士。此外，该书还深入探讨了新兴技术在商业预测中的应用潜力，如大数据分析、人工智能和机器学习工具的最新进展。通过这些前沿内容，读者可以了解未来趋势，并思考如何利用现代科技提升预测精度。这些部分不仅丰富了理论层面，也为实际操作提供了创新视角。书中对学术研究与行业实践的结合也值得关注。在每一章节中，作者通过具体案例展示了理论在不同情境中的应用效果，使读者能够从多维度理解预测方法的重要性。这种平衡了深度分析与实用性，是适合各层次学习者的优秀资源。整体而言，这本书不仅系统阐述商业预测的核心概念和工具，更通过严谨的逻辑链条和丰富的实践例子，引导读者建立科学的预测思维。它为希望掌握这一领域关键技能的读者提供了坚实的理论支撑和操作指南，是一本兼具学术价值与实际应用意义的重要书籍。通过这部作品，读者不仅能深化对商业预测原理的理解，还能在复杂多变的市场环境中找到应对策略，从而提升自身的分析能力和决策水平。这种详尽且结构化的内容设计，使其成为任何有兴趣探索商业预测领域的重要参考。