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Probability Theory and Statistics with Real World Application... - 9783111332208
Probability Theory and Statistics with Real World Application... - 9783111332208

Probability Theory and Statistics with Real World Application... - 9783111332208

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Probability Theory and Statistics with Real World ApplicationsUnivariate and Multivariate Models Applications\nAuthor(s): Peter Zrnig\nFormat: Paperback\nPublisher: De Gruyter, Germany\nImprint: De Gruyter\nISBN-13: 9783111332208, 978-3111332208\nSynopsis\nThe 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 distribu.

Probability Theory and Statistics with Real World Application... - 9783111332208

Probability Theory and Statistics with Real World ApplicationsUnivariate and Multivariate Models Applications\nAuthor(s): Peter Zrnig\nFormat: Paperback\nPublisher: De Gruyter, Germany\nImprint: De Gruyter\nISBN-13: 9783111332208, 978-3111332208\nSynopsis\nThe 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 distribu.

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