Book Description:
“Master statistical methods with ‘Mathematical Statistics with Applications in R’ by K.M. Ramachandran & Chris P. Tsokos. This textbook integrates R software and covers topics like regression analysis, ANOVA, and Bayesian statistics, making it essential for students and professionals.”
Mathematical Statistics with Applications in R
Authors: K. M. Ramachandran and Chris P. Tsokos
Publisher: Academic Press
ISBN: 978-0124171138
This comprehensive textbook provides an introduction to mathematical statistics and its applications using the R statistical software. Written in a clear and accessible style, the book covers the fundamental concepts of statistical inference, modeling, and decision-making. It includes numerous examples, exercises, and real-world applications to illustrate the practical uses of statistical methods.
The book begins with an overview of statistical methods and the role of R in data analysis. It then covers:
- Descriptive statistics and probability distributions
- Hypothesis testing and confidence intervals
- Regression analysis
- Analysis of variance (ANOVA)
- Non-parametric statistics
- Bayesian statistics
The book concludes with a discussion of advanced topics such as time series analysis and statistical modeling. It is an ideal textbook for undergraduate and graduate students in statistics, data science, and related fields, as well as a valuable reference for researchers and practitioners.