Methods of Estimation of Crop Acreage and Production for Small Domains ab 76.9 € als Taschenbuch: Applications of Small Area Estimation Methods in Agriculture. Aus dem Bereich: Bücher, Kunst & Musik,
Methods of Estimation of Crop Acreage and Production for Small Domains ab 76.9 EURO Applications of Small Area Estimation Methods in Agriculture
When a sample is taken from a population additionally for a certain of its components called domains also estimates are needed for certain parameters. When domain-wise samples are too small these estimates turn out poor in efficiency. By borrowing strength from other domains how data may be appropriately used is an important issue. How to settle this using domain as well as past data is a story related in this monograph. For this appropriate model-assisted analysis is described in details. Historical developments are narrated and live data-base emperical findings are presented in great details. Mainly the author's own research in collaboration with his students and colleagues is stressed. Contemporary research by others is also touched to the extent possible in this short output. Further a point of interest is to start with classical estimation methods based on unequal probability sampling and to follow up with appropriate modelling. This has been diligently implemented as is not usually emphasised in the current literature on Small Area Estimation.
In computer science, optimisation is the topic that consists of selecting the best solution(s) from a set of available solutions with regard to some criteria. Optimisation problems are usually divided into two categories: continuous problems and combinatorial problems. In this book, we focus on a particular set of combinatorial problems where the solutions are naturally codified as permutations. These problems, refer to as permutation problems, appear in a vast range of domains, such as graph theory, mathematical psychology or bioinformatics, and particularly, in logistic areas such as routing, scheduling or assignment. Due to the influence that the codification of a solution has in the development of algorithms, permutation problems have been a recurrent topic in the optimisation community. With the aim of solving these problems, in this book we introduce advances in the framework of estimation of distribution algorithms, analyse the problems in the context of local search algorithms, and design a general purpose multi-objectivization procedure. The schemes proposed in this book demonstrate their effectiveness outperforming state-of-the-art results in many problems.
In spite of considerable research efforts, curse of dimensionality which affects the scalability of approximate dynamic programming (ADP) models still remains a challenge. This work advances the state-of-the-art in the field of stochastic dynamic programming methods through the innovative integration of a diffusion wavelet based value function approximation method with ADP. The innovation lies in this integration that exploits the structure of the problem to achieve computational feasibility. The research method is tested on the problem of taxi-out time estimation of aircraft to establish a proof of concept. The sequential predictions of taxi-out time obtained in real-time for departing aircraft provide shared situational awareness to benefit airport operations planning. The outcomes of this work provide a generic methodology for sequential decision making under uncertainty in large scale applications by uniting concepts from signal processing, statistics, stochastic processes, and artificial intelligence, which may provide solutions for future automated decision making in large scale complex applications in other engineering domains.
ADHD is one of the most prevalent childhood psychiatric disorders. It is characterized by inattention, hyperactivity and impulsivity and is estimated to affect 5% of the worldwide population. Until recently, symptoms were thought to ameliorate with age. However, a recent 10 year follow-up study indicated that 35% of pediatric patients still meet criteria and it s been estimated that affects between 3 and 7% of adult population. Even thought the exact neurobiological substrate of ADHD still unclear, genetic, preclinical and clinical studies point to dopaminergic and/or noradrenergic alterations. Neural activity and grey matter volume decreases in dopamine related regions also corroborate such deficits. By performing a time estimation fMRI task,our results provide evidence that temporal processes, in addition to cognitive (i.e., attention) and motivational/emotional domains might be a third dissociable neuropsychological component that affects ADHD.
Sudden cardiac death (SCD) is one of the most critical public health problem causing 20-30% of 0.4 million annual deaths due to heart disease in the United States. Among these, ventricular fibrillation is observed in 85% of the cases before death. Prognostic significance of microvolt T-wave alternans (TWA) has been established since their inclusion among important risk stratifiers for sudden cardiac death, as they provide a 20-30 minutes warning period prior to ventricular tachyarrhythmias. This book reviews the most significant TWA analysis schemes belonging to STFT, sign-change counting and non-linear filtering domains. The main objective is to develop robust TWA detection and estimation schemes. A second direction is to explore the estimation challenges involved in TWA analysis.
Small area estimation methods are used in survey sampling when traditional methods of estimation do not provide efficient estimates of the parameters of small domains either due to insufficient sample size or zero sample size. This monograph provides indirect methods of estimation of small domains' parameters related to agriculture field. The monograph will be useful for people working in the field of small area estimation in general and those working in the area of crop acreage and production estimates worldwide in particular.
The book is dedicated to the issues of information operations recognition based on analysis of information space, particularly, web-resources, social networks, and blogs. In this context, open source intelligence technology (OSINT) solves the problem of initial analysis of modern-time information flows. The book provides a detailed description of mathematical principles of information operations recognition, based on mathematical statistics, nonlinear dynamics, complex networks theory, information and mathematical modeling, sociology. A separate chapter covers the applications of approaches from expert estimation theory and decision-making support to information operation recognition. The book is addressed to a broad circle of specialists from information technology and security domains.