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This book is the first complete account of the L-moment approach to regional frequency analysis of environmental extremes.
This textbook covers the main applications of statistical methods in hydrology. It is written for upper undergraduate and graduate students but can be used as a helpful guide for hydrologists, geographers, meteorologists and engineers. The book is very useful for teaching, as it covers the main topics of the subject and contains many worked out examples and proposed exercises. Starting from simple notions of the essential graphical examination of hydrological data, the book gives a complete account of the role that probability considerations must play during modelling, diagnosis of model fit, prediction and evaluating the uncertainty in model predictions, including the essence of Bayesian application in hydrology and statistical methods under nonstationarity. The book also offers a comprehensive and useful discussion on subjective topics, such as the selection of probability distributions suitable for hydrological variables. On a practical level, it explains MS Excel charting and computing capabilities, demonstrates the use of Winbugs free software to solve Monte Carlo Markov Chain (MCMC) simulations, and gives examples of free R code to solve nonstationary models with nonlinear link functions with climate covariates.
This is a comprehensive introduction to configural frequency analysis, its rationale, and various modifications. When more individuals than expected display a pattern of characteristics, these individuals belong to a type. When fewer individuals than expected display a pattern they belong to an antitype. This book deals with methods that focus on groups of subjects in contingency tables. A many-faceted statistical method, CFA is useful whenever categorical variables are analyzed. The original contribution of this text is the linking of CFA to log-linear modeling and the general linear model, enabling the reader to relate CFA to a well-known statistical background.
After five decades, the field of Statistical Hydrology continues to evolve and remains a very active area of investigation. Researchers continue to examine various distributions, methods of estimation of parameters, and problems related to regionalization. However, much of this research appears in journals and reports and usually in a form not easily accessible to practitioners and students. Flood Frequency Analysis answers this need by presenting the most popular and promising distributions and estimation procedures in a unified format. It offers the details that provide the basis for the computations, and illustrates each procedure with real data.
An all-inclusive reference covering all practical aspects of hydrology. Twenty-nine chapters in four major sections: I. Hydrologic Cycle; II. Hydrologic Transport; III. Hydrologic Statistics; IV. Hydrologic Technology. 500 illustrations.
Configural Frequency Analysis (CFA) provides an up-to-the-minute comprehensive introduction to its techniques, models, and applications. Written in a formal yet accessible style, actual empirical data examples are used to illustrate key concepts. Step-by-step program sequences are used to show readers how to employ CFA methods using commercial software packages, such as SAS, SPSS, SYSTAT, S-Plus, or those written specifically to perform CFA. CFA is an important method for analyzing results involved with categorical and longitudinal data. It allows one to answer the question of whether individual cells or groups of cells of cross-classifications differ significantly from expectations. The expectations are calculated using methods employed in log-linear modeling or a priori information. It is the only statistical method that allows one to make statements about empty areas in the data space. Applied and or person-oriented researchers, statisticians, and advanced students interested in CFA and categorical and longitudinal data will find this book to be a valuable resource. Developed since 1969, this method is now used by a large number of researchers around the world in a variety of disciplines, including psychology, education, medicine, and sociology. Configural Frequency Analysis will serve as an excellent text for courses on configural frequency analysis, categorical variable analysis, or analysis of contingency tables. Prerequisites include an understanding of descriptive statistics, hypothesis testing, statistical model fitting, and some understanding of categorical data analysis and matrix algebra.
Each year, floods cause an enormous amount of global economic and social damage, impacting transportation systems, water supplies, agriculture, and health. Response management to catastrophic floods require increased measures involving integrated planning, adaptation, and recovery strategies in order to protect against human loss. Decision Support Methods for Assessing Flood Risk and Vulnerability is a pivotal reference source that provides vital research on the application of effective models and tools focused on the diagnosis of vulnerability to flooding risks and evaluates and measures the impact of floods on socio-economic wellbeing. While highlighting topics such as hydrological events, soil erosion, and flood vulnerability, this publication explores methods of identifying appropriate adaptation strategies. This book is ideally designed for researchers, students, academicians, policymakers, government officials, and technology developers seeking current empirical research findings to be used to improve the overall understanding of the flood phenomenon.