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Theorem of Logarithm Expectation and Its Application to Prove Sample Correlation Coefficient as Unbiased Estimate

Theorem of Logarithm Expectation and Its Application to Prove Sample Correlation Coefficient as Unbiased Estimate
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作者 Loc Nguyen
出处 《Journal of Mathematics and System Science》 2014年第9期605-608,共4页 数学和系统科学(英文版)
关键词 定理证明 无偏估计 相关系数 期望 对数 样本 应用 统计理论 Logarithm expectation correlation coefficient unbiased estimate
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参考文献4

  • 1Sean Borman. The Expectation Maximization Algorithm - A short tutorial. Department of Electrical Engineering, University of Notre Dame, South Bend, Indiana. Last updated January 09, 2009.
  • 2Douglas C. Montgomery, George C. Runger. Applied Statistics and Probability for Enginners, 3rd edition. Copyright 2003 John Wiley & Son, Inc, 2003. ISBN: 0-471-20454-4.
  • 3Jeff A. Bilmes. A Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models. International Computer Science Institute, Berkeley CA, 94704 and Computer Science Division, Department of Electrical Engineering and Computer Science, U.C. Berkeley, TR-97-021, April 1998.
  • 4Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers, Keying Ye. Probability & Statistics for Engineers & Scientists, 9th edition. Copyright 2012, 2007, 2002 Pearson Education, Inc. ISBN: 978-0-321-62911-1.

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