Author: Takashi YanagawaPublisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
International Conference on Statistical Challenges in Environmental Health
Author: Takashi YanagawaSpecial Issue: International Conference on Statistical Challenges in Environmental Health
Author: International Conference on Statistical Challenges in Environmental HealthPublisher:
ISBN:
Category :
Languages : en
Pages : 152
Book Description
Statistical Challenges in Environmental Health
Author: Statistics for the Environment, Statistical Aspects of Health and the Environment
Author: Vic BarnettPublisher: Wiley
ISBN: 9780471976455
Category : Mathematics
Languages : en
Pages : 422
Book Description
In line with the SPRUCE initiative, concerned as it is with Statistics in Public Resources, Utilities and Care of the Environment, the recent conference brought together leading workers from a widely multidisciplinary background. The SPRUCE IV programme was divided into five thematic sections: * Small Area Studies and Disease Mapping * Atmospheric Pollution Studies * Disease Risks and Social Effects * Effects of Radiation * Agriculture and the Food Chain Providing a stimulating overview of current methods and developing research trends across the field of Statistical Aspects of Health and the Environment, this volume presents a co-ordinated and structured review of the recent SPRUCE conference. This volume is the fourth in the Wiley Series on Statistics and the Environment. Environmental issues continue to be of major concern to scientists and those involved with policy formulation. The concise presentation of arguments, statistical models and their application will make this volume essential reading.
Environmetrics
Author: A. H. El-ShaarawiPublisher:
ISBN:
Category : Environmental sciences
Languages : en
Pages :
Book Description
International Conference on Statistical Methods for the Environmental Sciences
Author: Statistical Methods for Environmental Epidemiology with R
Author: Roger D. PengPublisher: Springer Science & Business Media
ISBN: 0387781676
Category : Medical
Languages : en
Pages : 151
Book Description
As an area of statistical application, environmental epidemiology and more speci cally, the estimation of health risk associated with the exposure to - vironmental agents, has led to the development of several statistical methods and software that can then be applied to other scienti c areas. The stat- tical analyses aimed at addressing questions in environmental epidemiology have the following characteristics. Often the signal-to-noise ratio in the data is low and the targets of inference are inherently small risks. These constraints typically lead to the development and use of more sophisticated (and pot- tially less transparent) statistical models and the integration of large hi- dimensional databases. New technologies and the widespread availability of powerful computing are also adding to the complexities of scienti c inves- gation by allowing researchers to t large numbers of models and search over many sets of variables. As the number of variables measured increases, so do the degrees of freedom for in uencing the association between a risk factor and an outcome of interest. We have written this book, in part, to describe our experiences developing and applying statistical methods for the estimation for air pollution health e ects. Our experience has convinced us that the application of modern s- tistical methodology in a reproducible manner can bring to bear subst- tial bene ts to policy-makers and scientists in this area. We believe that the methods described in this book are applicable to other areas of environmental epidemiology, particularly those areas involving spatial{temporal exposures.
Research Awards Index
Author: 5th International Conference on Statistical Methods for the Environmental Sciences
Author: Data Science and SDGs
Author: Bikas Kumar SinhaPublisher: Springer Nature
ISBN: 9811619190
Category : Business & Economics
Languages : en
Pages : 197
Book Description
The book presents contributions on statistical models and methods applied, for both data science and SDGs, in one place. Measuring and controlling data of SDGs, data driven measurement of progress needs to be distributed to stakeholders. In this situation, the techniques used in data science, specially, in the big data analytics, play an important role rather than the traditional data gathering and manipulation techniques. This book fills this space through its twenty contributions. The contributions have been selected from those presented during the 7th International Conference on Data Science and Sustainable Development Goals organized by the Department of Statistics, University of Rajshahi, Bangladesh; and cover topics mainly on SDGs, bioinformatics, public health, medical informatics, environmental statistics, data science and machine learning. The contents of the volume would be useful to policymakers, researchers, government entities, civil society, and nonprofit organizations for monitoring and accelerating the progress of SDGs.