K.M. Ramachandran,
Kandethody M. Ramachandran,
Chris P. Tsokos
Mathematical Statistics with Applications in R
Paperback Engels 2020 9780128178157Levertijd ongeveer 9 werkdagen
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Samenvatting
Mathematical Statistics with Applications in R, Third Edition, offers a modern calculus-based theoretical introduction to mathematical statistics and applications. The book covers many modern statistical computational and simulation concepts that are not covered in other texts, such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Monte Carlo (MCMC) methods, such as the Metropolis algorithm, Metropolis-Hastings algorithm and the Gibbs sampler. By combining discussion on the theory of statistics with a wealth of real-world applications, the book helps students to approach statistical problem-solving in a logical manner. Step-by-step procedure to solve real problems make the topics very accessible.
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Inhoudsopgave
<p>1. Descriptive Statistics<br>2. Basic Concepts from Probability Theory<br>3. Additional Topics in Probability<br>4. Sampling Distributions<br>5. Statistical Estimation6. Hypothesis Testing<br>7. Linear Regression models<br>8. Design of Experiments<br>9. Analysis of Variance<br>10. Bayesian Estimation and Inference11. Categorical Data Analysis and Goodness of Fit Tests and Applications<br>12. Nonparametric Tests<br>13. Empirical Methods<br>14. Some applications and Some Issues in Statistical Applications: An Overview</p>
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