1974/12/01 by Robert F. Ling · 2 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Statistical Methods and Inference #Bayesian Modeling and Causal Inference
paper · doi:10.2307/2286154
openalex publication_date 1974/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/30
Several one-pass and two-pass algorithms for the computation of sample means and variances are compared by their performance on sets of randomly generated data and systematically generated data with random noise. The relation between the performance of each algorithm and the coefficient of variation of the population from which random data sets are generated is explored.