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Course in Mathematical Statistics
Course in Mathematical Statistics
Author: Roussas, George G.
Edition/Copyright: 2ND 97
ISBN: 0-08-049314-9
Publisher: Elsevier Science Course Content Delivery
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Summary
 
  Summary

A Course in Mathematical Statistics, Second Edition, contains enough material for a year-long course in probability and statistics for advanced undergraduate or first-year graduate students, or it can be used independently for a one-semester (or even one-quarter) course in probability alone. It bridges the gap between high and intermediate level texts so students without a sophisticated mathematical background can assimilate a fairly broad spectrum of the theorems and results from mathematical statistics. The coverage is extensive, and consists of probability and distribution theory, and statistical inference.

  • Contains 25% new material
  • Includes the most complete coverage of sufficiency
  • Transformation of Random Vectors
  • Sufficiency / Completeness / Exponential Families
  • Order Statistics
  • Elements of Nonparametric Density Estimation
  • Analysis of Variance (ANOVA)
  • Regression Analysis
  • Linear Models
 

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