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.
Название: Handbook Of Environmental And Ecolo ISBN: 1498752020 ISBN-13(EAN): 9781498752022 Издательство: Taylor&Francis Рейтинг: Цена: 33686.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This handbook focuses on the enormous literature applying statistical methodology and modelling to environmental and ecological processes.
Описание: This book presents recent developments in statistical methodologies with particular relevance to applications in forestry and environmental sciences. It discusses important methodologies like ranked set sampling, adaptive cluster sampling, small area estimation, calibration approach-based estimators, design of experiments, multivariate techniques, Internet of Things, and ridge regression methods. It also covers the history of the implementation of statistical techniques in Indian forestry and the National Forest Inventory of India. The book is a valuable resource for applied statisticians, students, researchers, and practitioners in the forestry and environment sector. It includes real-world examples and case studies to help readers apply the techniques discussed. It also motivates academicians and researchers to use new technologies in the areas of forestry and environmental sciences with the help of software like R, MATLAB, Statistica, and Mathematica.
Statistical Methods for Field and Laboratory Studies in Behavioral Ecology focuses on how statistical methods may be used to make sense of behavioral ecology and other data. It presents fundamental concepts in statistical inference and intermediate topics such as multiple least squares regression and ANOVA. The objective is to teach students to recognize situations where various statistical methods should be used, understand the strengths and limitations of the methods, and to show how they are implemented in R code. Examples are based on research described in the literature of behavioral ecology, with data sets and analysis code provided.
Features:
This intermediate to advanced statistical methods text was written with the behavioral ecologist in mind
Computer programs are provided, written in the R language.
Datasets are also provided, mostly based, at least to some degree, on real studies.
Methods and ideas discussed include multiple regression and ANOVA, logistic and Poisson regression, machine learning and model identification, time-to-event modeling, time series and stochastic modeling, game-theoretic modeling, multivariate methods, study design/sample size, and what to do when things go wrong.
It is assumed that the reader has already had exposure to statistics through a first introductory course at least, and also has sufficient knowledge of R. However, some introductory material is included to aid the less initiated reader.
Scott Pardo, Ph.D., is an accredited professional statistician (PStat(R)) by the American Statistical Association. Michael Pardo is a Ph.D. is a candidate in behavioral ecology at Cornell University, specializing in animal communication and social behavior.
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: 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.
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.
