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Unformatted text preview: Project Due Dec 1, 2011 This is an individual project, you may ask me questions but do not consult your fellow students. You may consult YOUR BOOK (Devore and Berk) for this project, but DO NOT CONSULT OTHER BOOKS or look on the internet for answers. You may well find them there, but it will ruin your learning experience. During the second half of this course, were discussing two primary forms of inference: frequentist and Bayes. Both of these forms of inference begin the same way, by specifying a probability model for the observed data. For instance, if we want to estimate the mean SBP of the population of UMN undergrads we might say X i Normal ( , 2 ). We view the SBP as random and collect some sample of size n . Maximum likelihood theory tells us we can get an unbiased estimate of with = x i n . If we dont specify a probability model for the observed data we cant make any progress with either method and because of this, these two forms of inference are called model based estimation.this, these two forms of inference are called model based estimation....
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This note was uploaded on 11/21/2011 for the course PUBH 7401 taught by Professor Richmaclehose during the Spring '11 term at Minnesota.
- Spring '11