Quadrat Analysis_RW_Thomas

For example if we wished to fit the negative binomial

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Unformatted text preview: hould However, this is rarely the case, and usually research workers are forced to adopt statistical estimation procedures as a substitute for theoretical reasoning. The replacement of deductive reasoning with inductive statistical procedures at a crucial stage in the analysis is the major weakness in the logic of the quadrat method. The situation is made more complicated by the availability of a number of different estimation procedures, and we need to distinguish carefully between their respective properties. The two most commonly used methods are moments and maximum likelihood estimation. Statistical estimation procedures are designed such that some predefined property of the data is preserved in the model prediction. When we fitted the Poisson distribution to the hypothetical data set (Table 1) we used procedures, which ensure that one or more of the model's moments is equal to its observed value, are known as moments estimation. For the negative binomial these procedures are complicated by the fact that two parameters have to...
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This note was uploaded on 02/15/2012 for the course GEO 6938 taught by Professor Staff during the Summer '08 term at University of Florida.

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