Abstract: The sampling distribution of the estimate of the ?time between effectively independent samples,? T0, is investigated using Monte-Carlo techniques. It is found to be asymptotically unbiased and normally distributed. Agreement ...

Abstract: The conventional approach to evaluating the joint statistical significance of multiple hypothesis tests (i.e., ?field,? or ?global,? significance) in meteorology and climatology is to count the number of individual (or ...

Abstract: Stochastic daily weather time series models (??weather generators??) are parameterized consistent with both local climate and probabilistic seasonal forecasts. Both single-station weather generators, and spatial networks ...

Abstract: limate ?normals? are statistical estimates of present and/or near-future climate means for such quantities as seasonal temperature or precipitation. In a changing climate, simply averaging a large number of previous years ...

Abstract: he three multivariate statistical methods of canonical correlation analysis, maximum covariance analysis, and redundancy analysis are compared with respect to their probabilistic accuracy for seasonal forecasts of gridded ...

Abstract: pecial care must be exercised in the interpretation of multiple statistical hypothesis tests?for example, when each of many tests corresponds to a different location. Correctly interpreting results of multiple simultaneous ...

Abstract: Probabilistic quantitative precipitation forecasts (PQPFS) for discrete amount classes can be formulated as the product of precipitation probabilities (as issued in PoP forecasts) and the climatological probabilities of ...

Abstract: Presently employed hypothesis tests for multivariate geophysical data (e.g., climatic fields) require the assumption that either the data are serially uncorrelated, or spatially uncorrelated, or both. Good methods have ...