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  • Robust fitting of mixture regression models
    Bai, Xiuqin; Yao, Weixin; Boyer, John E. (2012)
    The existing methods for tting mixture regression models assume a normal dis- tribution for error and then estimate the regression parameters by the maximum likelihood estimate (MLE). In this article, we demonstrate ...
  • Semiparametric mixture of binomial regression with a degenerate component
    Cao, J.; Yao, Weixin (2012)
    Many historical datasets contain a large number of zeros, and cannot be modeled directly using a single distribution. Motivated by rain data from a global climate model, we study a semiparametric mixture of binomial ...
  • Sheep laterality
    Anderson, Dean M.; Murray, Leigh W. (2013)
    Turning preferences among 309 white-faced ewes were individually evaluated in an enclosed, artificially lighted, T-maze, followed by each ewe choosing either a right or left return alley to return to peers. Data recorded ...
  • TSG: a new algorithm for binary and multi-class cancer classification and informative genes selection
    Wang, Haiyan; Zhang, Hongyan; Dai, Zhijun; Chen, Ming-shun; Yuan, Zheming (2013)
    Background: One of the challenges in classification of cancer tissue samples based on gene expression data is to establish an effective method that can select a parsimonious set of informative genes. The Top Scoring Pair ...