
Probability Theory and Statistics with Real World Applications
Univariate and Multivariate Models Applications
- 370 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Probability Theory and Statistics with Real World Applications
Univariate and Multivariate Models Applications
About this book
The idea of the book is to present a text that is useful for both students of quantitative sciences and practitioners who work with univariate or multivariate probabilistic models. Since the text should also be suitable for self-study, excessive formalism is avoided though mathematical rigor is retained. A deeper insight into the topics is provided by detailed examples and illustrations. The book covers the standard content of a course in probability and statistics. However, the second edition includes two new chapters about distribution theory and exploratory data analysis. The first-mentioned chapter certainly goes beyond the standard material. It is presented to reflect the growing practical importance of developing new distributions. The second new chapter studies intensively one- and bidimensional concepts like assymetry, kurtosis, correlation and determination coefficients. In particular, examples are intended to enable the reader to take a critical look at the appropriateness of the geometrically motivated concepts.
Frequently asked questions
- Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
- Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Information
Table of contents
- Title Page
- Copyright
- Contents
- 1 Mathematics revision
- 2 Introduction to probability
- 3 Finite sample spaces
- 4 Conditional probability and independence
- 5 One-dimensional random variables
- 6 Functions of random variables
- 7 Bidimensional random variables
- 8 Characteristics of random variables
- 9 Discrete probability models
- 10 Continuous probability models
- 11 Generating functions in probability
- 12 Construction of new distributions
- 13 Sums of many random variables
- 14 Samples and sampling distributions
- 15 Estimation of parameters
- 16 Hypothesis tests
- 17 Exploratory data analysis
- Index