{
  "id": "1208.3546",
  "version": "v2",
  "published": "2012-08-17T06:55:24.000Z",
  "updated": "2014-07-01T07:26:23.000Z",
  "title": "Identifiability of multivariate logistic mixture models",
  "authors": [
    "ZiQiang Shi",
    "TieRan Zheng",
    "JiQing Han"
  ],
  "categories": [
    "math.PR",
    "cs.IT",
    "math.IT"
  ],
  "abstract": "Mixture models have been widely used in modeling of continuous observations. For the possibility to estimate the parameters of a mixture model consistently on the basis of observations from the mixture, identifiability is a necessary condition. In this study, we give some results on the identifiability of multivariate logistic mixture models.",
  "revisions": [
    {
      "version": "v2",
      "updated": "2014-07-01T07:26:23.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "multivariate logistic mixture models",
      "identifiability",
      "necessary condition",
      "parameters"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable",
      "adsabs": "2012arXiv1208.3546S"
    }
  }
}