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Introduction to Mathematical Statistics

Introduction to Mathematical Statistics

Author(s):
  • Robert V. Hogg
  • Allen T. Craig
  • Joseph W. McKean
    • Author: Robert V. Hogg
    • ISBN:9789353946760
    • 10 Digit ISBN:935394676X
    • Price:Rs. 1235.00
    • Pages:764
    • Imprint:Pearson Education
    • Binding:Paperback
    • Status:Available


    Ratings:

    "Introduction to Mathematical Statistics by Hogg, McKean, and Craig enhances student comprehension and retention with numerous, illustrative examples and exercises. Classical statistical inference procedures in estimation and testing are explored extensively, and the text's flexible organization makes it ideal for a range of mathematical statistics courses. Substantial changes to the 8th Edition - many based on user feedback - help students appreciate the connection between statistical theory and statistical practice, while other changes enhance the development "

    Table of Content

    "1. Probability and Distributions 2. Multivariate Distributions 3. Some Special Distributions 4. Some Elementary Statistical Inferences 5. Consistency and Limiting Distributions 6. Maximum Likelihood Methods 7. Sufficiency 8. Optimal Tests of Hypotheses 9. Inferences About Normal Linear Models 10. Nonparametric and Robust Statistics 11. Bayesian Statistics Appendices: A. Mathematical Comments B. R Primer C. Lists of Common Distributions D. Table of Distributions E. References F. Answers to Selected Exercises"

    Salient Features

    "· Many additional real data sets to illustrate statistical methods or compare methods. · Expanded use of the statistical software R, a powerful statistical language which is free and can run on all three main platforms. · Expanded discussion of iterated integrals, with added figures to clarify discussion. · Several important topics have been added, including a subsection on the bivariate normal distribution, Tukey's multiple comparison procedure and confidence intervals for the correlation coefficients. · Discussion on standard errors for estimates obtained by bootstrapping the sample is now included."