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Jose A. Raynal Villasenor

Frequency Analyses of Natural Extreme Events: A Spreadsheets Approach

Frequency Analyses of Natural Extreme Events: A Spreadsheets Approach

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This book is essential for engineering and applied sciences, providing procedures for implementing probability distribution functions using Excel and estimating parameters, quantiles, and confidence limits.

Format: Paperback / softback
Length: 410 pages
Publication date: 27 October 2022
Publisher: Springer Nature Switzerland AG


This book holds immense significance in the realms of engineering and applied sciences, as its values play a pivotal role in the design and construction of numerous structures, such as dams' spillways and highway culverts. The primary objective of this comprehensive text is to offer practical procedures for implementing a wide range of probability distribution functions, all of which are grounded in the utilization of a standard and widely accessible computational application known as Excel. This versatile software is accessible to any personal computer user. The computer procedures are presented in ample detail, enabling readers to create their own Excel worksheets for further exploration and analysis.

Moreover, each probability distribution function in the book includes comprehensive schemes to estimate its parameters, quantiles, and confidence limits through the methods of moments and maximum likelihood. By employing these techniques, readers can gain valuable insights into the underlying distributions and make informed decisions based on the analyzed data.

This book serves as a valuable resource for professionals, researchers, and students alike, providing a comprehensive and practical guide to probability distribution functions and their applications in engineering and applied sciences. Its user-friendly approach and detailed explanations make it accessible to a wide audience, fostering a deeper understanding of statistical concepts and their practical implications.

Weight: 652g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030863920
Edition number: 1st ed. 2021

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