Mathematical Statistics with Applications by Chris P. TsokosMathematical Statistics with Applications by Chris P. Tsokos

Mathematical Statistics with Applications

byChris P. Tsokos, Kandethody M. Ramachandran, Kandethody M. Ramachandran

Other | March 13, 2009

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Mathematical Statistics with Applications provides a calculus-based theoretical introduction to mathematical statistics while emphasizing interdisciplinary applications as well as exposure to modern statistical computational and simulation concepts that are not covered in other textbooks. Includes the Jackknife, Bootstrap methods, the EM algorithms and Markov chain Monte Carlo methods. Prior probability or statistics knowledge is not required.
  • Step-by-step procedure to solve real problems, making the topic more accessible
  • Exercises blend theory and modern applications
  • Practical, real-world chapter projects
  • Provides an optional section in each chapter on using Minitab, SPSS and SAS commands
Chris P. Tsokos is Distinguished University Professor of Mathematics and Statistics at the University of South Florida. Dr. Tsokos' research has extended into a variety of areas, including stochastic systems, statistical models, reliability analysis, ecological systems, operations research, time series, Bayesian analysis, and mathemati...
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Title:Mathematical Statistics with ApplicationsFormat:OtherDimensions:848 pages, 1 × 1 × 1 inPublished:March 13, 2009Publisher:Elsevier ScienceLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0080951708

ISBN - 13:9780080951706

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Table of Contents

Preface, Descriptive Statistics, Basic Concepts from Probability Theory, Additional Topics in Probability, Sampling Distributions, Point Estimation, Interval Estimation, Hypothesis Testing, Linear Regression Models, Design of Experiments, Analysis of variance, Bayesian Estimation and Inference, Nonparametric tests, Empirical Methods, Some issues in statistical applications- an overview, Appendices