
the importance of the normality assumption in large
... summary of Y that varies from method to method. There is little literature on robust regression at an elementary level, but chapters by Berk (5) and Goodall (16) are at least addressed to the practising statistician rather than the theoretician. Textbooks of biostatistics frequently describe linear ...
... summary of Y that varies from method to method. There is little literature on robust regression at an elementary level, but chapters by Berk (5) and Goodall (16) are at least addressed to the practising statistician rather than the theoretician. Textbooks of biostatistics frequently describe linear ...
PRACTICE PROBLEMS FOR BIOSTATISTICS
... sample standard error in Sample A (SEA) relative to the sample standard error of length-ofstay value in Sample B (SEB)? a) b) c) d) ...
... sample standard error in Sample A (SEA) relative to the sample standard error of length-ofstay value in Sample B (SEB)? a) b) c) d) ...
Eliciting Probability Distributions
... expert. Two or more of these individuals could be the same person. In Bayesian decision theory, the decision-maker should use his or her own probability distribution for θ in the decision-making problem. In practice, however, the decision-maker may be willing to use a distribution specified directly ...
... expert. Two or more of these individuals could be the same person. In Bayesian decision theory, the decision-maker should use his or her own probability distribution for θ in the decision-making problem. In practice, however, the decision-maker may be willing to use a distribution specified directly ...