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.
Peter Zornig
Probability Theory and Statistics with Real World Applications [PDF ebook]
Univariate and Multivariate Models Applications
Probability Theory and Statistics with Real World Applications [PDF ebook]
Univariate and Multivariate Models Applications
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язык английский ● Формат PDF ● страницы 370 ● ISBN 9783111332277 ● издатель De Gruyter ● опубликованный 2024 ● Загружаемые 3 раз ● валюта EUR ● Код товара 9589723 ● Защита от копирования Adobe DRM
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