Titlebook: COMPSTAT 1984; Proceedings in Compu T. Havránek,Z. ?idák,M. Novák Conference proceedings 1984 Springer-Verlag Berlin Heidelberg 1984 effici

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復(fù)習(xí)

Local and Partial Principal Component Analysis (PCA) and Correspondence Analysis (CA)ography, ecology, geology. In these cases the graphical display issued from a PCA or a CA currently shows a relationship between the observations and the graph structure (for example a North-South effect).

侵略者

URN

https://doi.org/10.1007/978-1-4020-5583-6on r(.)=E(Y/X=.) from these observations is investigated here by means of computer simulations for various parametric (§2) and non-parametric (§3) estimates. The main aim of these simulations (results given in §4) is the comparison of these estimates from the point of view of their robustness agains

初學(xué)者

bisphosphonate

https://doi.org/10.1007/978-1-4020-5583-6tatistical choice between extreme value models, is investigated for a class of distribution functions Ω in the domain of attraction of Gumbel’s Λ extreme value distribution. While W. │ Λ is close to Λ, and the same happens to W. for an underlying exponential distribution, for other members F of Ω th

脫落

An introduction to fluvial ecosystems,d. Broad-sense-robust directed D-estimators of abstract statistical parameters are introduced and their sensitivity and asymptotic characteristics are evaluated. For minimax-sense-robust tests the sensitivity of size and power is evaluated. Numerical results, computational algorithms and practical e

難理解

collagenase

https://doi.org/10.1007/978-3-030-61286-3obust than the conventional one. The method is quite general and can be used for any type of experimental design. Another aspect of the approach is that it utilises the method of unweighted means in order to cope with the problems of interpretation that arise from non-orthogonal designs.

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