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Author: Richard Chandler Publisher: John Wiley & Sons ISBN: 111999196X Category : Mathematics Languages : en Pages : 348
Book Description
The need to understand and quantify change is fundamental throughout the environmental sciences. This might involve describing past variation, understanding the mechanisms underlying observed changes, making projections of possible future change, or monitoring the effect of intervening in some environmental system. This book provides an overview of modern statistical techniques that may be relevant in problems of this nature. Practitioners studying environmental change will be familiar with many classical statistical procedures for the detection and estimation of trends. However, the ever increasing capacity to collect and process vast amounts of environmental information has led to growing awareness that such procedures are limited in the insights that they can deliver. At the same time, significant developments in statistical methodology have often been widely dispersed in the statistical literature and have therefore received limited exposure in the environmental science community. This book aims to provide a thorough but accessible review of these developments. It is split into two parts: the first provides an introduction to this area and the second part presents a collection of case studies illustrating the practical application of modern statistical approaches to the analysis of trends in real studies. Key Features: Presents a thorough introduction to the practical application and methodology of trend analysis in environmental science. Explores non-parametric estimation and testing as well as parametric techniques. Methods are illustrated using case studies from a variety of environmental application areas. Looks at trends in all aspects of a process including mean, percentiles and extremes. Supported by an accompanying website featuring datasets and R code. The book is designed to be accessible to readers with some basic statistical training, but also contains sufficient detail to serve as a reference for practising statisticians. It will therefore be of use to postgraduate students and researchers both in the environmental sciences and in statistics.
Author: Ganapati P. Patil Publisher: Springer Science & Business Media ISBN: 1441976280 Category : Medical Languages : en Pages : 280
Book Description
Sampling consists of selection, acquisition, and quantification of a part of the population. While selection and acquisition apply to physical sampling units of the population, quantification pertains only to the variable of interest, which is a particular characteristic of the sampling units. A sampling procedure is expected to provide a sample that is representative with respect to some specified criteria. Composite sampling, under idealized conditions, incurs no loss of information for estimating the population means. But an important limitation to the method has been the loss of information on individual sample values, such as, the extremely large value. In many of the situations where individual sample values are of interest or concern, composite sampling methods can be suitably modified to retrieve the information on individual sample values that may be lost due to compositing. This book presents statistical solutions to issues that arise in the context of applications of composite sampling.
Author: K.W. Hipel Publisher: Elsevier ISBN: 0080870368 Category : Technology & Engineering Languages : en Pages : 1053
Book Description
This is a comprehensive presentation of the theory and practice of time series modelling of environmental systems. A variety of time series models are explained and illustrated, including ARMA (autoregressive-moving average), nonstationary, long memory, three families of seasonal, multiple input-single output, intervention and multivariate ARMA models. Other topics in environmetrics covered in this book include time series analysis in decision making, estimating missing observations, simulation, the Hurst phenomenon, forecasting experiments and causality. Professionals working in fields overlapping with environmetrics - such as water resources engineers, environmental scientists, hydrologists, geophysicists, geographers, earth scientists and planners - will find this book a valuable resource. Equally, environmetrics, systems scientists, economists, mechanical engineers, chemical engineers, and management scientists will find the time series methods presented in this book useful.
Author: Clemens Reimann Publisher: John Wiley & Sons ISBN: 1119965284 Category : Science Languages : en Pages : 380
Book Description
Few books on statistical data analysis in the natural sciences are written at a level that a non-statistician will easily understand. This is a book written in colloquial language, avoiding mathematical formulae as much as possible, trying to explain statistical methods using examples and graphics instead. To use the book efficiently, readers should have some computer experience. The book starts with the simplest of statistical concepts and carries readers forward to a deeper and more extensive understanding of the use of statistics in environmental sciences. The book concerns the application of statistical and other computer methods to the management, analysis and display of spatial data. These data are characterised by including locations (geographic coordinates), which leads to the necessity of using maps to display the data and the results of the statistical methods. Although the book uses examples from applied geochemistry, and a large geochemical survey in particular, the principles and ideas equally well apply to other natural sciences, e.g., environmental sciences, pedology, hydrology, geography, forestry, ecology, and health sciences/epidemiology. The book is unique because it supplies direct access to software solutions (based on R, the Open Source version of the S-language for statistics) for applied environmental statistics. For all graphics and tables presented in the book, the R-scripts are provided in the form of executable R-scripts. In addition, a graphical user interface for R, called DAS+R, was developed for convenient, fast and interactive data analysis. Statistical Data Analysis Explained: Applied Environmental Statistics with R provides, on an accompanying website, the software to undertake all the procedures discussed, and the data employed for their description in the book.
Author: D. Marc Kilgour Publisher: Springer ISBN: 331999719X Category : Computers Languages : en Pages : 622
Book Description
This book focuses on the recent development of methodologies and computation methods in mathematical and statistical modelling, computational science and applied mathematics. It emphasizes the development of theories and applications, and promotes interdisciplinary endeavour among mathematicians, statisticians, scientists, engineers and researchers from other disciplines. The book provides ideas, methods and tools in mathematical and statistical modelling that have been developed for a wide range of research fields, including medical, health sciences, biology, environmental science, engineering, physics and chemistry, finance, economics and social sciences. It presents original results addressing real-world problems. The contributions are products of a highly successful meeting held in August 2017 on the main campus of Wilfrid Laurier University, in Waterloo, Canada, the International Conference on Applied Mathematics, Modeling and Computational Science (AMMCS-2017). They make this book a valuable resource for readers interested not only in a broader overview of the methods, ideas and tools in mathematical and statistical approaches, but also in how they can attain valuable insights into problems arising in other disciplines.
Author: Dr Vincent Cassar Publisher: Academic Conferences Limited ISBN: 1910810118 Category : Business & Economics Languages : en Pages : 478
Book Description
Complete proceedings of the 14th European Conference on Research Methodology for Business and Management Studies Valletta, Malta Published by Academic Conferences and Publishing International
Author: International Conference on Materials Engineering and Environmental Science Publisher: World Scientific ISBN: 9814759988 Category : Electronic books Languages : en Pages : 904
Book Description
"This book consists of one hundred and nine selected papers presented at the 2015 International Conference on Materials Engineering and Environmental Science (MEES2015), which was successfully held in Wuhan, China during September 25-27, 2015. All papers selected for this proceedings were subjected to a rigorous peer-review process by at least two independent peers. The papers were selected based on innovation, organization, and quality of presentation. The MEES2015 covered a wide spectrum of research topics, ranging from fundamental studies, technical innovations, to industrial applications in Chemical Material and Chemical Processing Technology, Composite Materials, Alloy Materials and Metal Materials, Characteristics of Materials, Building Material and Construction Technology, Ecology and Environment, Technology for Environmental Protection, Economy and Environment, Mechanical and Control Engineering, and Manufacturing Technology. The MEES2015 brought together more than one hundred researchers from China, South Korea, Taiwan, Japan, Malaysia, and Saudi Arabia, and provided them with a forum to share, exchange and discuss new scientific development and future directions of Materials Engineering and Environmental Science."--Provided by publisher
Author: A.H. El-Shaarawi
Author: A.H. El-Shaarawi
Author: A. H. El-Shaarawi
Author: Richard Chandler
Author: Ganapati P. Patil
Author: Yanan Liu
Author: K.W. Hipel
Author: Clemens Reimann
Author: D. Marc Kilgour
Author: Dr Vincent Cassar
Author: International Conference on Materials Engineering and Environmental Science