Discussion 6
... of estimating the number of warplanes based on a (possibly small) sample. In many situations, we can estimate the same quantity in multiple ways. For example, we could take the average of our sample and multiply it by 2 as one estimate for the total number of warplanes, but we could also use the max ...
... of estimating the number of warplanes based on a (possibly small) sample. In many situations, we can estimate the same quantity in multiple ways. For example, we could take the average of our sample and multiply it by 2 as one estimate for the total number of warplanes, but we could also use the max ...
7. Families of Continuous Distributions
... The family of normal random variables plays a central role in probability and statistics. This distribution is also called the Gaussian distribution after Carl Friedrich Gauss, who proposed it as a model for measurement errors. The central limit theorem, which will be discussed in Chapter 5, justifi ...
... The family of normal random variables plays a central role in probability and statistics. This distribution is also called the Gaussian distribution after Carl Friedrich Gauss, who proposed it as a model for measurement errors. The central limit theorem, which will be discussed in Chapter 5, justifi ...
Slide 4
... The median is the value with exactly half the data values below it and half above it. It is the middle data value (once the data values have been ordered) that divides the histogram into two equal areas. It has the same units as the data. Slide ...
... The median is the value with exactly half the data values below it and half above it. It is the middle data value (once the data values have been ordered) that divides the histogram into two equal areas. It has the same units as the data. Slide ...
Document
... Most water resources decision problems face the risk of uncertainty Uncertainty - Randomness of the variables Hydrologic random variables: rainfall in a command area, inflow to a ...
... Most water resources decision problems face the risk of uncertainty Uncertainty - Randomness of the variables Hydrologic random variables: rainfall in a command area, inflow to a ...
A Comparison of Binomial Proportion Interval Estimation Methods
... Exact Conf Limits 95% Lower Conf Limit 95% Upper Conf Limit ...
... Exact Conf Limits 95% Lower Conf Limit 95% Upper Conf Limit ...
Permutation Tests for Comparing Two Populations
... The only assumption we have is the distribution of treatment 1 under the null hypothesis is the same as the distribution of treatment 2. In practice the fewer assumptions and limitations, the broader the applications. The question is how powerful is this test? Is this test more powerful than the par ...
... The only assumption we have is the distribution of treatment 1 under the null hypothesis is the same as the distribution of treatment 2. In practice the fewer assumptions and limitations, the broader the applications. The question is how powerful is this test? Is this test more powerful than the par ...
Stat 5101 Notes: Brand Name Distributions
... Rationales • Multivariate analog of the univariate normal distribution. • Limiting distribution in the multivariate central limit theorem. Parameters Real vector µ of dimension k, real symmetric positive semidefinite matrix M of dimension k × k. Sample Space ...
... Rationales • Multivariate analog of the univariate normal distribution. • Limiting distribution in the multivariate central limit theorem. Parameters Real vector µ of dimension k, real symmetric positive semidefinite matrix M of dimension k × k. Sample Space ...
