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.
| Autorius: | Peter Zörnig |
| Serija: | De Gruyter Textbook |
| Leidėjas: | Walter de Gruyter |
| Išleidimo metai: | 2024 |
| ISBN-10: | 3111332209 |
| ISBN-13: | 9783111332208 |
| Formatas: | Knyga minkštu viršeliu |
| Kalba: | Anglų |
| Žanras: | Bayesian inference |
Parašykite atsiliepimą apie „Probability Theory and Statistics with Real World Applications: Univariate and Multivariate Models Applications“
