
Distribution Theory
Principles and Applications
- 250 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Distribution Theory
Principles and Applications
About this book
This book provides a thorough understanding of distribution theory and data analysis using statistical software to solve problems related to basic statistics, probability models, and simulation. It presents a detailed explanation of different distribution concepts used in statistics along with their application in real-life situations. Covering the analytical aspects using the latest software, the volume discusses stochastic methods and other statistical methods. It provides an overview of statistical data analysis by taking actual situations and implementing open-source software R version 4.0 and Python 3.0+. A detailed study of the statistical models is also provided with examples related to health, agriculture, insurance, and other sectors.
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Information
Table of contents
- Cover Page
- Half Title Page
- Title Page
- Copyright Page
- About the Editors
- Contents
- Contributors
- Abbreviations
- Preface
- 1. Descriptive Statistics: Principles and Applications
- 2. Random Variables and Their Properties
- 3. Discrete Distributions
- 4. Continuous Distributions
- 5. Family of Weibull Distributions
- 6. Life Distributions
- 7. Dynamics of Data Analysis and Visualization with Python
- Index