Statistical Methods for Environmental and Agricultural Sciences, Hoshmand, Reza
Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman Название: The Elements of Statistical Learning ISBN: 0387848576 ISBN-13(EAN): 9780387848570 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.
Описание: This manual is part of a global farmer-to-farmer training initiative that aims to increase the knowledge of farmers across the world on soils. It contains a list of soil testing methods that can help farmers assess the condition of their soil in the field as a way to halt soil degradation and as a first step to sustainable soil management.
Indeed, to prevent soil degradation and the loss or reduction of soil functions, including the provision of healthy and nutritious food, there is an urgent need for soils to be sustainably managed. A prerequisite for the sustainable management of soil resources is the availability of reliable information and in particular, of information on how different soil management practices impact soils.
In addition to an inventory of methods, the manual lists the parameters considered critical to soil health. It also includes a section on visual observations using Visual Soil Assessments (VSA) for annual crops and the information that these can provide on the health of a soil.
Written in simple language with relevant examples, Statistical Methods in Biology: Design and Analysis of Experiments and Regression is a practical and illustrative guide to the design of experiments and data analysis in the biological and agricultural sciences. The book presents statistical ideas in the context of biological and agricultural sciences to which they are being applied, drawing on relevant examples from the authors' experience.
Taking a practical and intuitive approach, the book only uses mathematical formulae to formalize the methods where necessary and appropriate. The text features extended discussions of examples that include real data sets arising from research. The authors analyze data in detail to illustrate the use of basic formulae for simple examples while using the GenStat(R) statistical package for more complex examples. Each chapter offers instructions on how to obtain the example analyses in GenStat and R.
By the time you reach the end of the book (and online material) you will have gained:
A clear appreciation of the importance of a statistical approach to the design of your experiments,
A sound understanding of the statistical methods used to analyse data obtained from designed experiments and of the regression approaches used to construct simple models to describe the observed response as a function of explanatory variables,
Sufficient knowledge of how to use one or more statistical packages to analyse data using the approaches described, and most importantly,
An appreciation of how to interpret the results of these statistical analyses in the context of the biological or agricultural science within which you are working.
The book concludes with a guide to practical design and data analysis. It gives you the understanding to better interact with consultant statisticians and to identify statistical approaches to add value to your scientific research.
Автор: Hoshmand, Reza Название: Statistical Methods for Environmental and Agricultural Sciences ISBN: 036757943X ISBN-13(EAN): 9780367579432 Издательство: Taylor&Francis Рейтинг: Цена: 7348.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: * Presents a much-needed practical guide to statistical spatial analysis on a network, in a logical, user-friendly order. * Introduces the preliminary methods involved, before detailing the advanced, computational methods, enabling the readers a complete understanding of the advanced topics.
Название: Handbook Of Spatial Epidemiology ISBN: 1482253011 ISBN-13(EAN): 9781482253016 Издательство: Taylor&Francis Рейтинг: Цена: 24499.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Handbook of Spatial Epidemiology explains how to model epidemiological problems and improve inference about disease etiology from a geographical perspective. Top epidemiologists, geographers, and statisticians share interdisciplinary viewpoints on analyzing spatial data and space-time variations in disease incidences. These analyses can provide important information that leads to better decision making in public health.
The first part of the book addresses general issues related to epidemiology, GIS, environmental studies, clustering, and ecological analysis. The second part presents basic statistical methods used in spatial epidemiology, including fundamental likelihood principles, Bayesian methods, and testing and nonparametric approaches. With a focus on special methods, the third part describes geostatistical models, splines, quantile regression, focused clustering, mixtures, multivariate methods, and much more. The final part examines special problems and application areas, such as residential history analysis, segregation, health services research, health surveys, infectious disease, veterinary topics, and health surveillance and clustering.
Spatial epidemiology, also known as disease mapping, studies the geographical or spatial distribution of health outcomes. This handbook offers a wide-ranging overview of state-of-the-art approaches to determine the relationships between health and various risk factors, empowering researchers and policy makers to tackle public health problems.
Описание: A collection of papers on extreme value analyses for floods and droughts, stochastic and statistical modelling of groundwater and surface water systems, time series analysis in hydrology and environmental engineering, and approaches to both the theory and practice of effective environmental management.
Описание: Presented in four volumes, this title presents research results in extreme value analyses for floods and droughts. It looks at stochastic and statistical modelling of groundwater and surface water systems. It also describes optimal approaches to reservoir operation and control that take into account appropriate multiple objectives.
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