Application of the Extreme Value Statistical Distribution to Annual Precipitation and Crop Yields (Classic Reprint) - Brossura
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Excerpt from Application of the Extreme Value Statistical Distribution to Annual Precipitation and Crop Yields
The same reasoning applies to observed annual precipitation. The observed annual amount is from a large conceptual population and can be treated as a maximum. Here again the population may be bound ed by zero and some unknown upper bound. However, the lower bound, for the observational period considered is rarely if ever attained. It is not known whether the upper bound is ever attained. Again it is hypothesized that the fundamental theorem is satisfied, possibly to a closer extent than with annual crop yields.
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Application of the Extreme Value Statistical Distribution to Annual
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Paperback. Condizione: New. Print on Demand. This book explores the application of extreme value theory to annual precipitation and crop yields, providing a method to characterize their dependability. The author demonstrates that this statistical distribution can effectively represent the occurrence of extreme events, such as high precipitation or low crop yields, in arid regions. The book discusses the limitations of traditional regression techniques in evaluating crop dependability and presents the advantages of using extreme value theory, highlighting its simplicity and ability to consider all factors influencing crop yields. Through examples and case studies, the author illustrates the practical applications of this theory, enabling readers to assess the risk and variability associated with crop production in different locations. This book offers valuable insights for farmers, agricultural researchers, and policymakers seeking to optimize crop management strategies and mitigate the impact of extreme weather events. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Codice articolo 9780365690313_0
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