**Auteur :** Noratiqah Mohd. Ariff

**la langue :** ms

**Éditeur:**

**Date de sortie :** 2009

**Auteur :** J. R. M. Hosking

**la langue :** en

**Éditeur:** Cambridge University Press

**Date de sortie :** 2005-09-08

This book is the first complete account of the L-moment approach to regional frequency analysis of environmental extremes.

**Auteur :** Vijay Singh

**la langue :** en

**Éditeur:** Springer Science & Business Media

**Date de sortie :** 2013-04-17

Since the pioneering work of Shannon in the late 1940's on the development of the theory of entropy and the landmark contributions of Jaynes a decade later leading to the development of the principle of maximum entropy (POME), the concept of entropy has been increasingly applied in a wide spectrum of areas, including chemistry, electronics and communications engineering, data acquisition and storage and retreival, data monitoring network design, ecology, economics, environmental engineering, earth sciences, fluid mechanics, genetics, geology, geomorphology, geophysics, geotechnical engineering, hydraulics, hydrology, image processing, management sciences, operations research, pattern recognition and identification, photogrammetry, psychology, physics and quantum mechanics, reliability analysis, reservoir engineering, statistical mechanics, thermodynamics, topology, transportation engineering, turbulence modeling, and so on. New areas finding application of entropy have since continued to unfold. The entropy concept is indeed versatile and its applicability widespread. In the area of hydrology and water resources, a range of applications of entropy have been reported during the past three decades or so. This book focuses on parameter estimation using entropy for a number of distributions frequently used in hydrology. In the entropy-based parameter estimation the distribution parameters are expressed in terms of the given information, called constraints. Thus, the method lends itself to a physical interpretation of the parameters. Because the information to be specified usually constitutes sufficient statistics for the distribution under consideration, the entropy method provides a quantitative way to express the information contained in the distribution.

**Auteur :** P. P. Mujumdar

**la langue :** en

**Éditeur:** Cambridge University Press

**Date de sortie :** 2012-11-22

Provides unique synthesis of various modeling methodologies used to aid planning and operational decision making, for academic researchers and professionals.

**Auteur :** Michael Baron

**la langue :** en

**Éditeur:** CRC Press

**Date de sortie :** 2015-09-15

Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling Tools Incorporating feedback from instructors and researchers who used the previous edition, Probability and Statistics for Computer Scientists, Second Edition helps students understand general methods of stochastic modeling, simulation, and data analysis; make optimal decisions under uncertainty; model and evaluate computer systems and networks; and prepare for advanced probability-based courses. Written in a lively style with simple language, this classroom-tested book can now be used in both one- and two-semester courses. New to the Second Edition Axiomatic introduction of probability Expanded coverage of statistical inference, including standard errors of estimates and their estimation, inference about variances, chi-square tests for independence and goodness of fit, nonparametric statistics, and bootstrap More exercises at the end of each chapter Additional MATLAB® codes, particularly new commands of the Statistics Toolbox In-Depth yet Accessible Treatment of Computer Science-Related Topics Starting with the fundamentals of probability, the text takes students through topics heavily featured in modern computer science, computer engineering, software engineering, and associated fields, such as computer simulations, Monte Carlo methods, stochastic processes, Markov chains, queuing theory, statistical inference, and regression. It also meets the requirements of the Accreditation Board for Engineering and Technology (ABET). Encourages Practical Implementation of Skills Using simple MATLAB commands (easily translatable to other computer languages), the book provides short programs for implementing the methods of probability and statistics as well as for visualizing randomness, the behavior of random variables and stochastic processes, convergence results, and Monte Carlo simulations. Preliminary knowledge of MATLAB is not required. Along with numerous computer science applications and worked examples, the text presents interesting facts and paradoxical statements. Each chapter concludes with a short summary and many exercises.

**Auteur :** Manfred Mudelsee

**la langue :** en

**Éditeur:** Springer Science & Business Media

**Date de sortie :** 2010-08-26

Climate is a paradigm of a complex system. Analysing climate data is an exciting challenge, which is increased by non-normal distributional shape, serial dependence, uneven spacing and timescale uncertainties. This book presents bootstrap resampling as a computing-intensive method able to meet the challenge. It shows the bootstrap to perform reliably in the most important statistical estimation techniques: regression, spectral analysis, extreme values and correlation. This book is written for climatologists and applied statisticians. It explains step by step the bootstrap algorithms (including novel adaptions) and methods for confidence interval construction. It tests the accuracy of the algorithms by means of Monte Carlo experiments. It analyses a large array of climate time series, giving a detailed account on the data and the associated climatological questions. This makes the book self-contained for graduate students and researchers.

**Auteur :** Craig L. Patterson

**la langue :** en

**Éditeur:** Amer Society of Civil Engineers

**Date de sortie :** 2013

Proceedings of the World Environmental and Water Resources Congress 2013: Showcasing the Future, held in Cincinnati, Ohio, May 19-23, 2013. Sponsored by the Environmental and Water Resources Institute of ASCE. This collection contains 326 papers covering a broad range of current research and practice in the field of environmental and water resources engineering with a focus on emerging and cutting-edge technologies. Papers from the following symposia are included: 10th Urban Watershed Management Symposium; 11th Symposium on Groundwater Hydrology, Quality, and Management; 15th Annual Symposium on Water Distribution Systems Analysis; Symposium on Cloud Computing in Water and Environmental Engineering; 1st Annual Symposium on Uncertainty Analysis Approaches in Hydrologic Modeling; Symposium on Desalination and Water Reuse; Symposium on Hydraulic Fracturing; Hydro-Climate Symposium on Modeling Climate Change; Ohio River Basin and Large Rivers Issues and Research Symposium; and the Daniel P. Loucks Water Resources Symposium. Additional topics include integrated water resources management; education and research; hydraulics and waterways; environmental planning and management; water, wastewater and stormwater management; and history and heritage. This proceedings will be of interest to a wide range of engineers in academic research, government agencies, and private sector design and construction.