By B. S. Everitt, A. Skrondal
This can be a strong stat dictionary which covers such a lot stat phrases with a short rationalization.
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Additional info for The Cambridge Dictionary of Statistics
In other words once account has been taken of the r observations preceding Yt, the remaining preceding observations carry no additional information about Yt. The model imposes no constraints on the constancy of variance or covariance with respect to time so that in terms of second order moments, it is not stationary. This is a very useful property in practice since the data from many longitudinal studies often have increasing variance with time. ] Anthropometry: A term used for studies involving measuring the human body.
Q are the parameters of the model and at ; atÀ1 ; . . are a white noise sequence. In some cases such models are applied to the time series observations after differencing to achieve stationarity, in which case they are known as autoregressive integrated moving average models. ] Auxiliary variable techniques: Techniques for improving the performance of Gibbs sampling in the context of Bayesian inference for hierarchical models. , are calculated from all available subjects with non missing values for the variable or pair of variables involved.
Benjamini and Hochberg step-up methods: Methods used in bioinformatics to control the false discovery rate when calculating p values from g tests under g individual null hypoth eses, one for each gene. ] Bennett’s bivariate sign test: A test of the null hypothesis that a bivariate distribution has speciﬁed marginal medians. ] Bentler^Bonnett index: A goodness of ﬁt measure used in structural equation modelling. [Modelling Covariances and Latent Variables using EQS, 1993, G. Dunn, B. Everitt and A.