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

至关重要的是，像Axter Agroscience Inc. （www.axter.ca）这样的公司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），以了解其生物刺激素和营养肥料的有效性。这个与麦吉尔大学合作的应用统计项目**的部分结果将允许这一点。此外，通过应用所谓的“通径分析”和连接的同伴建模，可以更广泛、更深入地了解植物与土壤的关系。在光谱的另一端，数据收集源的实验对任何后续假设检验的结果都起着非常重要的作用。因此，我们的结果的另一部分将允许Axter项目经理在未来的大量作物植物物种的田间实验中使用改进的实验设计（即，具有增强的统计能力）。

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.