Design and analysis of gauge R&R studies; making decisions with confidence intervals in random and mixed ANOVA models.0898715881 Design and analysis of gauge R&R studies; making decisions with confidence intervals confidence interval, n a statistical device used to determine the range within which an acceptable datum would fall. Confidence intervals are usually expressed in percentages, typically 95% or 99%. in random and mixed ANOVA anova see analysis of variance. ANOVA Analysis of variance, see there models. Burdick, Richard K. et al. SIAM 2005 201 pages $60.00 Paperback ASA-SIAM series on statistics and applied probability Much research involving probability is done under the auspices of applied probability, the application of probability theory to other scientific and engineering domains. However, while such research is motivated (to some degree) by applied problems, it is usually the mathematical QA276 With the intention of providing a protocol of repeatability and reproducibility reproducibility Lab medicine The degree of agreement among repeated measurements of a particular parameter, presented in terms of a standard deviation or coefficient of variation of the results in a set of measurements (R&R) experiments for new test systems, the authors provide an up-to-date summary of methods of constructing confidence intervals in normal-based random and mixed analysis (ANOVA) models. They cover balanced one-factor random models, balanced two-factor crossed random models with interaction, design of gauge R&R experiments, balanced two-factor crossed random models with no interaction, balanced two-factor mixed models, unbalanced two-factor models Two-factor model Usually, Fischer Black's zero-beta version of the capital asset pricing model. It may also refer to another type of model whereby expected returns are generated by any two factors. and strategies for construction intervals with ANOVA models. ([c] 2005 Book News, Inc., Portland, OR) |
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