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Contributions to Sampling Statistics
This book contains a selection of the papers presented at the ITACOSM 2013 Conference, held in Milan in June 2013. It is intended as an international forum of scientific discussion on the developments of theory and application of survey sampling methodologies and applications in human and natural sciences. The book gathers research papers carefully selected from both invited and contributed sessions of the conference. The whole book appears to be a relevant contribution to various key aspects of sampling methodology and techniques; it deals with some hot topics in sampling theory, such as calibration, quantile-regression and multiple frame surveys and with innovative methodologies in importa...
Soil Constraints on Crop Production
Globally, over two thirds of soils are affected by physical, chemical, or biological soil constraints. These constraints cause significant yield loss, and, as such, identifying appropriate management strategies is crucial to ensure future world food production. In order to help agricultural researchers and practitioners better understand soil constraint management, this book comprehensively outlines the occurrence of the major soil constraints and the most appropriate strategies to manage these for sustainable food production. Importantly, it brings together experts from major agricultural regions globally to highlight approaches with the most success in different environmental and socioeconomic regions worldwide.
Spatial Econometric Methods in Agricultural Economics Using R
Modern tools, such as GIS and remote sensing, are increasingly used in the monitoring of agricultural resources. The developments in GIS technology offer growing opportunities to agricultural economics analysts dealing with large and detailed spatial databases, allowing them to combine spatial information from different sources and to produce different models. The availability of these valuable sources of information makes the advanced models suggested in the spatial statistic and econometric literature applicable to agricultural economics. This book aims at supporting stakeholders to design spatial surveys for agricultural data and/or to analyse the geographically collected data. This book ...
Capture-Recapture Methods for the Social and Medical Sciences
Capture-recapture methods have been used in biology and ecology for more than 100 years. However, it is only recently that these methods have become popular in the social and medical sciences to estimate the size of elusive populations such as illegal immigrants, illicit drug users, or people with a drinking problem. Capture-Recapture Methods for the Social and Medical Sciences brings together important developments which allow the application of these methods. It has contributions from more than 40 researchers, and is divided into eight parts, including topics such as ratio regression models, capture-recapture meta-analysis, extensions of single and multiple source models, latent variable models and Bayesian approaches. The book is suitable for everyone who is interested in applying capture-recapture methods in the social and medical sciences. Furthermore, it is also of interest to those working with capture-recapture methods in biology and ecology, as there are some important developments covered in the book that also apply to these classical application areas.
Statistical Methods in Health Disparity Research
• Presents an overview of methods and applications of health disparity estimation • First book to synthesize research in this field in a unified statistical framework • Covers classical approaches, and builds to more modern computational techniques • Includes many worked examples and case studies using real data • Discusses available software for estimation
Soil Organic Carbon and Feeding the Future
Soil organic matter (SOM) is a highly reactive constituent of the soil matrix because of its large surface area, high ion exchange capacity, enormous affinity for water due to hygroscopicity, and capacity to form organo-mineral complexes. It is an important source and sink of atmospheric CO2 and other greenhouse gases depending on climate, land use, soil and crop management, and a wide range of abiotic and biotic factors, including the human dimensions of socioeconomic and political factors. Agroecosystems are among important controls of the global carbon cycle with a strong impact on anthropogenic or abrupt climate change. This volume of Advances in Soil Sciences explains pedological proces...
Cladag 2017 Book of Short Papers
This book is the collection of the Abstract / Short Papers submitted by the authors of the International Conference of The CLAssification and Data Analysis Group (CLADAG) of the Italian Statistical Society (SIS), held in Milan (Italy) on September 13-15, 2017.
Quantile Regression
Quantile regression is gradually emerging as a unified statistical methodology for estimating models of conditional quantile functions. By complementing the exclusive focus of classical least squares regression on the conditional mean, quantile regression offers a systematic strategy for examining how covariates influence the location, scale and shape of the entire response distribution. This monograph is the first comprehensive treatment of the subject, encompassing models that are linear and nonlinear, parametric and nonparametric. The author has devoted more than 25 years of research to this topic. The methods in the analysis are illustrated with a variety of applications from economics, biology, ecology and finance. The treatment will find its core audiences in econometrics, statistics, and applied mathematics in addition to the disciplines cited above.
