How to view dw in oxmetrics6/15/2023 Computing 12(3): 223–246Īkaike H (1973) Information theory and an extension of the maximum likelihood principle. Dover, New York, 1046ppĪhrens JH, Dieter U (1974) Computer methods for sampling from gamma, beta, Poisson and binomial distributions. KeywordsĪbramowitz M, Stegun IA (Eds) (1965) Handbook of Mathematical Functions. Is necessary because it guarantees that our persistence description has a foundation on physics. The class of persistence models with a unique correspondence to continuous-time models is rather limited. The fitted models and their estimated parameters can then be directly used for the bootstrap resampling procedure.It turns out that for climate time series with discrete times and uneven spacing, Model fits to the noise data inform about the “memory” of the climate fluctuations, the span of the persistence. ![]() To achieve this requires a model of the noise process or a quantification of the size of the dependence. Accurate bootstrap results need therefore the resamples to preserve the persistence of X noise( i). The bootstrap works with artificially produced (by means of a random number generator) resamples of the noise process. ![]() Chapter 3 presents bootstrap methods as resampling techniques aimed at providing realistic confidence intervals or error bars for the various estimation problems treated in the subsequent chapters. Climatic noise often exhibits persistence (Sect.
0 Comments
Leave a Reply. |