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Can I read Introduction to Probability, Statistics and R: Foundations for Data-Based Sciences on EtoBox?
Introduction to Probability, Statistics and R: Foundations for Data-Based Sciences by Sujit K. Sahu is a nonfiction available to read on EtoBox.
What is Introduction to Probability, Statistics and R: Foundations for Data-Based Sciences about?
A strong grasp of elementary statistics and probability, along with basic skills in using R, is essential for various scientific disciplines reliant on data analysis. This book serves as a gateway to learning statistical methods from scratch, assuming a solid background in high school mathematics. Readers gradually progress from basic concepts to advanced statistical modelling, with examples from actuarial, biological, ecological, engineering, environmental, medicine, and social sciences highlighting the real-world relevance of the subject. An accompanying R package enables seamless practice and immediate application, making it ideal for beginners. The book comprises 19 chapters divided into five parts. Part I introduces basic statistics and the R software package, teaching readers to calculate simple statistics and create basic data graphs. Part II delves into probability concepts, including rules and conditional probability, and introduces widelyused discrete and continuous probability distributions (e.g., binomial, Poisson, normal, log-normal). It concludes with the central limit theorem and joint distributions for multiple random variables. Part III explores statistical inferen
Who reads Introduction to Probability, Statistics and R: Foundations for Data-Based Sciences?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Sujit K. Sahu
- Publisher
- Springer International Publishing AG
- Published
- 2024
- Language
- EN
- ISBN
- 9783031378652
- Category
- nonfiction
- Subjects
- Mathematics, Stem
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