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Link Models

By Food and Agriculture Organization of the United Nations

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Book Id: WPLBN0000097180
Format Type: PDF eBook
File Size: 0.2 MB
Reproduction Date: Available via World Wide Web.
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Title: Link Models  
Author: Food and Agriculture Organization of the United Nations
Language: English
Subject: United Nations., Food and Agriculture Organization of the United Nations. FAO agriculture series, Agriculture
Collections: United Nations Food and Agriculture Organization Collection
Publication Date:
Publisher: Food and Agriculture Organization of the United Nations; Digitizer: Fao


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Agriculture Organization Of The United Nations, F. A. (n.d.). Link Models. Retrieved from

Nutrition Reference Publication

Electronic reproduction.

Excerpt: Where variables, such as stock size, can be observed directly, the concept of link models is largely redundant. However they are useful where only indirect observations can be made on these variables, and the relationships are complex, as is almost always the case. Separating link models from the population model is useful in several respects. It allows a number of indices to be incorporated into the fitting process, each with their own separate model describing how they are related to variables in the population model. Ideally link models avoid any time series effects, as unlike population models they should not represent a process. This means the link models are subject only to direct measurement or observation errors. Finally, link models are often linear in form. This has a distinct advantage in that linear parameters, which can be estimated directly, are separated from non-linear parameters, associated with the population model, which need to be estimated iteratively. This can significantly decrease the time needed to fit the model.


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