Forest products stochastic modeling group

林产品随机建模组

• 批准号: 381211-2009
• 负责人: Zidek, James
• 金额: $ 7.29万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=528638
• 关键词: Forest; products; stochastic; modeling; group

Canada has a uniquely diverse forest resource that has provided safe and reliable building products for Canadian and export markets. As the market for building products become more competitive and product performance expectations increase, the ability to apply advanced statistical techniques to model the variability inherent in the full range of bio-based products is a necessary tool for producers and regulators foresee the product and production techniques that are necessary to match the fibre capabilities with the market needs. Taking a holistic view of this dynamic stochastic system, the proposed research program will develop statistical approaches that will help the Industry deal with these challenges. In particular it will yield: optimal ways of making precautionary surveys of those standards in manufactured products notably lumber; ways of exploiting statistical relationships to cut down the cost of those surveys; new methods of grouping lumber for marketing it; and finally improved methods for testing composite materials.  Major outcomes of the work will be: a team of experts who can be called on for statistical advice even after the Program has ended in this area, a cohort of statistical graduates with transferable skills for work in the private as well as public sector; and new statistical theory and knowledge, the result of tackling really difficult problems in this area.

加拿大为加拿大和出口产品提供了可靠可靠的建筑物的独特多样性，以使uilding产品变得更加竞争期望，这会提高l l范围内的一系列基于生物的产品和监管机构固有的可变性。必不可少的纤维与市场需求相匹配。该计划在这一领域结束后，在该领域的公共安全和新的统计理论和知识的统计理论和知识问题中，具有可转移技能的统计毕业生队伍。