The pyMCR library, though, is more general thus we will refer to its implementation as “multivariate curve resolution-alternating regression” (MCR-AR). Additionally, as previously …

An asymptotic expansion for the multivariate normal integral over an infinitely extended rectangle, and therefore also for the associated multivariate Mills' ratio, is developed.

From the discussion of Mood (see footnote 2) of the joint distribution of medians in samples from a multivariate population, and from considerations of the generalizations of eq (3.3), it is seen …

Furthermore, applying the multivariate Wilk-Shapiro test to FAR(Xi) and FRR(Yi) indicates that these sets are Bivariate Normal distributed (p-values are shown in Appendix A). The statistical …

Expert Systems Driven Multivariate Data Systems: The response of many modern chemical instruments (e.g., spec trometers and chromatographs) is inherently multivariate.

Harold Ruben, An asymptotic expansion for a class of multivariate normal integrals, Tech. Report No. 69 Nom 225(52), pp. 1- 21. (App!. Math. and Stat. Lab., Stanford University, Stanford, …

The considerations discussed in these last two paragraphs with respect to reflectances are equally applicable to reflectance factors, multivariate reflectance-distribution functions …

simple proof is given of the asymptotic joint normality of sample quantiles from a multivariate population, under very mild conditions. The joint cumulative distribution function .of the …

Sep 29, 2022 · This section presents some of the hard computational problems that are common to multi-ple code-based, multivariate-based or lattice-based schemes examined in the course …

In the case of star-branched polymers with looping branches, an original idea of building looped branches from linear chains then applying judicious “crosslinks” allowed the use of the …