Determining the Value of a Technology: An Innovative Statistical Approach based on Path Analysis

像Axter Agroscience Inc.这样的公司（www.axter.ca）为其农艺 ** 代表提供更好的文件和信息（即，更精确和准确的估计）的生物刺激剂和营养肥料的有效性。与麦吉尔大学合作的这一应用统计项目 ** 的部分结果将使这一点成为可能。此外，通过应用所谓的“通径分析”和伴随的联系模型，将获得对植物-土壤关系的更广泛和更深入的了解。在光谱的另一个极端，数据收集源的实验对于任何后来的假设检验的结果都起着非常重要的作用。因此，** 我们结果的另一部分将允许Axter项目经理使用改进的实验设计（即，具有 ** 增强的统计能力）用于大量农作物物种的未来田间实验。

It is crucial that a company like Axter Agroscience Inc. (www.axter.ca) provides their agronomic**representatives with better documentation and information (i.e., more precise and accurate estimates) on the**effectiveness of their biostimulants and nutrient fertilizers. A part of the results of this applied statistical project**in collaboration with McGill University will allow that. In addition, a broader and deeper insight on the**plant-soil relationships will be obtained by the application of the so-called "path analysis" and the companion**modeling of connexions. At the other extremity of the spectrum, the experiments at the source of the collection**of data play a very important role with regards to the outcome of any later hypothesis testing. Therefore,**another part of our results will allow Axter project managers to use improved experimental designs (i.e., with**enhanced statistical power) in future field experimentation for a large number of crop plant species.