Econ 299 Chapter 06
... This means that on average, OLS estimation will estimate the correct coefficients. Definition: If the expected value of an estimator is equal to the parameter that it is being used to estimate, the estimator is unbiased. ...
... This means that on average, OLS estimation will estimate the correct coefficients. Definition: If the expected value of an estimator is equal to the parameter that it is being used to estimate, the estimator is unbiased. ...
Math 143: Introduction to Biostatistics
... The only slight advantage to the pooled method is that the formula for degrees of freedom is easier, so it was simpler to do on a hand-held calculator. (The formula for standard error is more complicated than ours because of the pooled estimate of the standard deviation, but it is still doable.) The ...
... The only slight advantage to the pooled method is that the formula for degrees of freedom is easier, so it was simpler to do on a hand-held calculator. (The formula for standard error is more complicated than ours because of the pooled estimate of the standard deviation, but it is still doable.) The ...
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... them, in other words, is omitting other assets of each number. Three apples and three pencils are very different objects, but they use the exact same ’3’ for categorizing. There is no importance in number when it is about a sentimental pet such as a cat. Yet, there are values in number when there are ...
... them, in other words, is omitting other assets of each number. Three apples and three pencils are very different objects, but they use the exact same ’3’ for categorizing. There is no importance in number when it is about a sentimental pet such as a cat. Yet, there are values in number when there are ...
German tank problem
In the statistical theory of estimation, the problem of estimating the maximum of a discrete uniform distribution from sampling without replacement is known in English as the German tank problem, due to its application in World War II to the estimation of the number of German tanks.The analyses illustrate the difference between frequentist inference and Bayesian inference.Estimating the population maximum based on a single sample yields divergent results, while the estimation based on multiple samples is an instructive practical estimation question whose answer is simple but not obvious.