Confidence regions and testing statistical hypotheses in reduced linear models

In: Mathematica Slovaca, vol. 62, no. 4

Lubomír Kubáček

Detaily:

Rok, strany: 2012, 775 - 784

Kľúčové slová:

reduced linear model, confidence ellipsoid, testing statistical hypotheses

DOI: https://doi.org/10.2478/s12175-012-0044-7

O článku:

Let in a linear model with large number of parameters some parameters be neglected and remaining parameters be changed in such a way (if it is possible) that the new model still corresponds with data. In the new (reduced) model problems of confidence regions and testing statistical linear hypotheses are investigated.

Ako citovať:

ISO 690:

Kubáček, L. 2012. Confidence regions and testing statistical hypotheses in reduced linear models. In Mathematica Slovaca, vol. 62, no.4, pp. 775-784. 0139-9918. DOI: https://doi.org/10.2478/s12175-012-0044-7

APA:

Kubáček, L. (2012). Confidence regions and testing statistical hypotheses in reduced linear models. Mathematica Slovaca, 62(4), 775-784. 0139-9918. DOI: https://doi.org/10.2478/s12175-012-0044-7

O vydaní: