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贝叶斯统计学及其应用

贝叶斯统计学及其应用

发布:Nicolle | 分类:考研

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
贝叶斯统计学及其应用
韩明
基本信息
  • 出版社: 同济大学出版社; 第1版 (2015年6月1日)
  • 外文书名: Bayesian Statistics and Its Applications
  • 平装: 364页
  • 语种: 简体中文
  • 开本: 16
  • ISBN: 9787560858241
  • 条形码: 9787560858241
  • 商品尺寸: 25.8 x 18.4 x 1.6 cm

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