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Mathematical Statistics with Mathematica
Mathematical Statistics with Mathematica
by Colin Rose, Murray Smith
  • Year: 2011
  • ISBN: 9780980800814 (ebook)
  • Based on: Version 8
This e-book presents a unified approach for doing mathematical statistics with Mathematica. This live real-time e-book uses Mathematica and the mathStatica software to bring mathematical statistics to life, with hundreds of examples, animations and illustrations. Mathematical Statistics with Mathematica is an ideal companion for researchers and students in statistics, econometrics, engineering, physics, psychometrics, economics, finance, biometrics and the social sciences, across both the pure and applied domains. The professional statistician will be able to tackle tricky multivariate distributions, generating functions, inversion theorems, symbolic maximum likelihood estimation, unbiased estimation, and the checking and correcting of textbook formulae. Contents
Introduction | Continuous Random Variables | Discrete Random Variables | Distributions of Functions of Random Variables | Systems of Distributions | Multivariate Distributions | Moments of Sampling Distributions | Asymptotic Theory | Statistical Decision Theory | Unbiased Parameter Estimation | Principles of Maximum Likelihood Estimation | Maximum Likelihood Estimation in Practice | Additional Resources
Authors' Website Related Topics
Economics and Finance, Engineering, Physics, Probability and Statistics
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