Econ415_tst_test1_part1_winter2010
... 13. The standard error of an estimator (also called the standard error of the estimate) is: a. The standard deviation of the error term in a statistical model. b. The standard deviation of the probability distribution of the dependent variable in the model for which the estimator is being used. c. T ...
... 13. The standard error of an estimator (also called the standard error of the estimate) is: a. The standard deviation of the error term in a statistical model. b. The standard deviation of the probability distribution of the dependent variable in the model for which the estimator is being used. c. T ...
Chapter8-S09
... a) Compute the 90% confidence interval about µ if the sample size, n, is 45. b) Compute the 90% confidence interval about µ if the sample size, n, is 55. How does increasing the sample size affect the margin of error E? How does it affect the length of the interval? c) Compute the 98% confidence int ...
... a) Compute the 90% confidence interval about µ if the sample size, n, is 45. b) Compute the 90% confidence interval about µ if the sample size, n, is 55. How does increasing the sample size affect the margin of error E? How does it affect the length of the interval? c) Compute the 98% confidence int ...
Key Fact 7 - Web4students
... a) Compute the 90% confidence interval about µ if the sample size, n, is 45. b) Compute the 90% confidence interval about µ if the sample size, n, is 55. How does increasing the sample size affect the margin of error E? How does it affect the length of the interval? c) Compute the 98% confidence int ...
... a) Compute the 90% confidence interval about µ if the sample size, n, is 45. b) Compute the 90% confidence interval about µ if the sample size, n, is 55. How does increasing the sample size affect the margin of error E? How does it affect the length of the interval? c) Compute the 98% confidence int ...
Bernoulli numbers and solitons
... numbers. Math. Ann. 216 (1975), 1-4. [7] Y. Onishi, Theory of the generalized Bernoulli-Hurwitz numbers for the algebraic functions of cyclotomic type and the universal Bernoulli numbers. math.NT/0406096. [8] M-P. Grosset and A.P. Veselov, Lamé equation, quantum top and elliptic Bernoulli polynomia ...
... numbers. Math. Ann. 216 (1975), 1-4. [7] Y. Onishi, Theory of the generalized Bernoulli-Hurwitz numbers for the algebraic functions of cyclotomic type and the universal Bernoulli numbers. math.NT/0406096. [8] M-P. Grosset and A.P. Veselov, Lamé equation, quantum top and elliptic Bernoulli polynomia ...
references - UMD Math Department
... under informative probability sampling. In: Analysis of Survey Data, eds. R. L. Chambers and C. J. Skinner, New York: Wiley, pp. 175-195. Pfeffermann, D. and Sverchkov, M. (2007) Small area estimation under informative probability sampling of areas and within the selected areas. Journal of the Ameri ...
... under informative probability sampling. In: Analysis of Survey Data, eds. R. L. Chambers and C. J. Skinner, New York: Wiley, pp. 175-195. Pfeffermann, D. and Sverchkov, M. (2007) Small area estimation under informative probability sampling of areas and within the selected areas. Journal of the Ameri ...
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.