Introduction: MLE, MAP, Bayesian reasoning (28/8/13)
... Sufficient Statistics: Because data sets can be extremely large, it is often important to be able to summarize the data with a finite set of summary statistics. These summary statistics should contain all information that the full data did with respect to estimating the parameters of the given model ...
... Sufficient Statistics: Because data sets can be extremely large, it is often important to be able to summarize the data with a finite set of summary statistics. These summary statistics should contain all information that the full data did with respect to estimating the parameters of the given model ...
Gaussian Probability Distribution
... (Devore, in “probability and Statistics for Engineering and the Sciences”). Here S is the set of possible outcomes. l Recall if y is described by a Gaussian pdf with mean () of zero and =1 then the probability that a
... (Devore, in “probability and Statistics for Engineering and the Sciences”). Here S is the set of possible outcomes. l Recall if y is described by a Gaussian pdf with mean () of zero and =1 then the probability that a
Quantitative Variation
... A short description of your data (not simply listing the statistics but describing it as you might to a friend who was not familiar with statistics) and comparison of your data to another group’s data. Do you think they are both samples from the same population? Why or why not? ...
... A short description of your data (not simply listing the statistics but describing it as you might to a friend who was not familiar with statistics) and comparison of your data to another group’s data. Do you think they are both samples from the same population? Why or why not? ...
Total
... population is normally distributed • If a sample is drawn from, say, a normal distribution, the sample values should be reflect the population distribution • Allows us to state the number in the sample that should be in a particular range • Example: 68% of a normal distribution is within +/- 1 stand ...
... population is normally distributed • If a sample is drawn from, say, a normal distribution, the sample values should be reflect the population distribution • Allows us to state the number in the sample that should be in a particular range • Example: 68% of a normal distribution is within +/- 1 stand ...