## An empirical study of the sampling distributions of some disease incidence estimates |

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1,000 Approximate Variances 1,000 Asymptotic Variances adjacent time intervals approximate formula approximate variance formula assumption asymptotic variance formula asymptotic variance-covariance matrix Atta BIAS AND STANDARD biased cause of death central moments Chapter computed correction factor covariances defined diagonal matrix disease incidence probabilities Distribution of 1,000 equation errors estimation of disease expected values floating-point histograms infinite populations ith disease jth interval Kimball Kimball's estimates likelihood function log l-s log l-sQ Mathematics maximum likelihood estimates multinomial distribution normal distribution number of animals number of deaths Oak Ridge ORACLE P2kPmk partial derivatives pooling the unconditional population variances right-hand side rn log sample element sample variances scatter diagram set of parameters Sk+1 small sample distributions small sample properties STANDARD DEVIATION STATISTICS TABLE Taylor series Theorem 3»2 total number truncated population unconditional probabilities University of Tennessee Var(I variance estimates ytyt