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.
| ISBN: | 9783111332208 |
| Publication date: | 3rd September 2024 |
| Author: | Peter Zörnig |
| Publisher: | De Gruyter |
| Format: | Paperback |
| Pagination: | 370 pages |
| Series: | De Gruyter Textbook |
| Genres: |
Bayesian inference |
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.
Probability Theory and Statistics With Real World Applications features in the following genres: Bayesian inference
Probability Theory and Statistics With Real World Applications is available in Paperback
Probability Theory and Statistics With Real World Applications was written by Peter Zörnig and published by De Gruyter
Probability Theory and Statistics With Real World Applications has 370 pages
Yes it is part of De Gruyter Textbook series
£51.75