Expectation maximization algorithm for the variance-inflation model by applying the t-distribution

Research output: Contribution to journalArticleResearchpeer review

Authors

  • K.-R. Koch
  • Boris Kargoll

Research Organisations

View graph of relations

Details

Original languageEnglish
Pages (from-to)217-225
JournalJournal of Applied Geodesy
Volume7
Issue number3
Publication statusPublished - 2013

Cite this

Expectation maximization algorithm for the variance-inflation model by applying the t-distribution. / Koch, K.-R.; Kargoll, Boris.
In: Journal of Applied Geodesy, Vol. 7, No. 3, 2013, p. 217-225.

Research output: Contribution to journalArticleResearchpeer review

Koch, K-R & Kargoll, B 2013, 'Expectation maximization algorithm for the variance-inflation model by applying the t-distribution', Journal of Applied Geodesy, vol. 7, no. 3, pp. 217-225.
Koch, K.-R., & Kargoll, B. (2013). Expectation maximization algorithm for the variance-inflation model by applying the t-distribution. Journal of Applied Geodesy, 7(3), 217-225.
Koch KR, Kargoll B. Expectation maximization algorithm for the variance-inflation model by applying the t-distribution. Journal of Applied Geodesy. 2013;7(3):217-225.
Koch, K.-R. ; Kargoll, Boris. / Expectation maximization algorithm for the variance-inflation model by applying the t-distribution. In: Journal of Applied Geodesy. 2013 ; Vol. 7, No. 3. pp. 217-225.
Download
@article{0edfc6caf4774edfab43ec3a19b6c093,
title = "Expectation maximization algorithm for the variance-inflation model by applying the t-distribution",
author = "K.-R. Koch and Boris Kargoll",
year = "2013",
language = "English",
volume = "7",
pages = "217--225",
number = "3",

}

Download

TY - JOUR

T1 - Expectation maximization algorithm for the variance-inflation model by applying the t-distribution

AU - Koch, K.-R.

AU - Kargoll, Boris

PY - 2013

Y1 - 2013

M3 - Article

VL - 7

SP - 217

EP - 225

JO - Journal of Applied Geodesy

JF - Journal of Applied Geodesy

SN - 1862-9016

IS - 3

ER -