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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.

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42,20 € *

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The goal of this work is improving existing and suggesting novel filtering algorithms for nonlinear dynamic state estimation. Nonlinearity is considered in two ways: First, propagation is improved by proposing novel methods for approximating continuous probability distributions by discrete distributions defined on the same continuous domain. Second, nonlinear underlying domains are considered by proposing novel filters that inherently take the underlying geometry of these domains into account.

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41,00 € *

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68,00 € *

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For high data rate communication with the required Quality of Service (QoS) in 3G and 4G systems, Orthogonal Frequency Division Multiplexing (OFDM) is proposed, which is capable to resist the channel impairments caused by high mobility conditions, by dividing the frequency-selective fading channel into narrowband flat fading channels. For increased data rate and reduced latency for 4G radio communication standards, ITU made proposals for LTE-Advanced in 2009. To achieve Release-10 targets, made by 3rd Generation Partnership Project (3GPP), channel state information at the transmitter is a pre-requisite. This book focuses on channel estimation algorithms in three domains: Frequency Domain Channel Estimation, Time Domain Channel Estimation and Adaptive Filtering Based Channel Estimation.

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This book is concerned with a special method of estimation called recursive residuals that is applied for one of the forms of measurement error models, namely Structural Errors-in-Variables model. Kalman Filter technique is used to estimate the highlighted model, where Maximum Likelihood Estimation (under normality) is used to provide initial values. There are five proposed methods for initial value of latent variable which are recommended for specific conditions. Cumulative sum (CUSUM), that is a sensitive control chart tool, is involved to control the model fitting and to check the model assumption. Finally, real data applications are shown for environmental and economic domains.

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79,00 € *

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The Thesis presents some numerical models based on homogenization for masonry structures subjected to in- and out-of-plane loads. Joints and bricks are assumed either linear elastic or rigid perfectly-plastic. In the latter case, a simple optimization problem is derived at a cell level to evaluate the macroscopic strength domain of masonry, using both the static and the kinematic theorem of limit analysis. A simple polynomial expansion of the micro-stress field in a finite number of rectangular sub-domains is proposed, suitable to obtain with a very limited computational effort a lower bound estimation of both in- and out-of-plane masonry failure surfaces. Strength domains so recovered are then implemented in suitable FE limit analysis codes for the upper and lower bound estimation of collapse loads and failure mechanisms of entire walls. Finally, the effect of the introduction of FRP strips as reinforcement is discussed using standard FE homogenization in the elastic range.

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81,30 € *

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This book constitutes the thoroughly refereed proceedings of the 6th International Conference on Subject-Oriented Business Process Management, S-BPM ONE 2014, held in Eichstätt, Germany, in April 2014. The 14 application-oriented papers selected during the peer review process and included in this volume deal with a variety of topics ranging from model elicitation over strategic alignment to the application of S-BPM in different domains like software effort estimation, production planning and education.

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