Undergrad Efficiency prediction (minimum versus average)

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The discussion revolves around predicting the efficiency of a light source for plant treatment, focusing on the relationship between electro-optical efficiency and plant absorbance. The total efficiency is proposed to be the product of these two efficiencies, with some research suggesting it should be the minimum of the two plant efficiencies rather than the average. This minimum approach emphasizes the worst-case scenario for both plant types, potentially providing a more conservative estimate of overall efficiency. However, the lack of statistical justification for this method raises questions about its validity compared to using an average. The conversation highlights the need for further exploration and clarification on the reasoning behind these efficiency predictions.
roam
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I am trying to determine the efficiency of a light source for treating plants. When using the light source, there is an equal probability of encountering two different plant species.

The light source has a certain electro-optical efficiency ##\eta_{\text{eo}}##. And each plant type has a different receptiveness (i.e. absorbance) to the light ##\eta_{\text{a}}##. So, the total efficiency of the process will be the product of the two efficiencies:

$$\eta_{\text{total}}=\eta_{\text{eo}}.\eta_{\text{a}} \tag{1}$$

Some research papers that I have read predict the efficiency of such a system to be the minimum of the two efficiencies:

$$\eta_{\text{total}}=\min\left(\eta_{\text{eo}}\eta_{\text{a}_{1}},\ \eta_{\text{eo}}\eta_{\text{a}_{2}}\right). \tag{2}$$

where the subscripts denote the plant type. However, the authors did not provide any statistical justifications for that.

So, what could be the reasoning for this? Is it not better to use the average value instead? i.e.,

$$\eta_{\text{total}}=\eta_{\text{eo}}.\left(\frac{\eta_{\text{a}_{1}}+\eta_{\text{a}_{2}}}{2}\right).$$

Any explanations would be greatly appreciated.
 
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roam said:
Some research papers that I have read predict the efficiency of such a system to be the minimum of the two efficiencies:
Can you link to the papers?
 
It appears to me that the authors want to stress the effect on both plants, so the minimum gives a measure of the effect on both.
 
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The standard _A " operator" maps a Null Hypothesis Ho into a decision set { Do not reject:=1 and reject :=0}. In this sense ( HA)_A , makes no sense. Since H0, HA aren't exhaustive, can we find an alternative operator, _A' , so that ( H_A)_A' makes sense? Isn't Pearson Neyman related to this? Hope I'm making sense. Edit: I was motivated by a superficial similarity of the idea with double transposition of matrices M, with ## (M^{T})^{T}=M##, and just wanted to see if it made sense to talk...

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