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Synopsis
This book explores different approaches to estimating the value of logs based on their size and quality, focusing on residual value appraisal. The author, a forestry expert, examines seven empirical lumber recovery data sets from western conifer studies and evaluates three models for gross product value estimation: a direct model based on log dimensions, an intermediate model incorporating lumber recovery, and a detailed model considering lumber grades. The author discusses the statistical properties, accuracy, and information provided by each model, concluding that the direct and intermediate models offer a simpler and more accurate estimate of log value, while the detailed model provides comprehensive information on lumber quality and recovery proportions, making it valuable for forest management analysis.
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Valuing a Log: Alternative Approaches (Classic Reprint)
Print on DemandSeller: Forgotten Books, London, United Kingdom
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Paperback. Condition: New. Print on Demand. This book explores different approaches to estimating the value of logs based on their size and quality, focusing on residual value appraisal. The author, a forestry expert, examines seven empirical lumber recovery data sets from western conifer studies and evaluates three models for gross product value estimation: a direct model based on log dimensions, an intermediate model incorporating lumber recovery, and a detailed model considering lumber grades. The author discusses the statistical properties, accuracy, and information provided by each model, concluding that the direct and intermediate models offer a simpler and more accurate estimate of log value, while the detailed model provides comprehensive information on lumber quality and recovery proportions, making it valuable for forest management analysis. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Seller Inventory # 9781390366242_0
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