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Model Selection and Error Estimation in a Nutshell

practical problems. The purpose of this book is to give an intelligible overview of the problems of model selection and error estimation, by;

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Error Estimation for Pattern Recognition

This book is the first of its kind to discuss error estimation with a model-based approach. From the basics of classifiers and error;

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Modelling and Parameter Estimation of Dynamic Systems

Parameter estimation is the process of using observations from a system to develop mathematical models that adequately represent the system;

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Radiation Risk Estimation

covers nonlinear measurement error models, with a particular emphasis on efficiency of regression parameter estimators. In the second part, risk;

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A Posteriori Error Estimation In Finite Element Analysis

Error Estimation in Finite Element Analysis is a lucid and convenient resource for researchers in almost any field of finite element methods;

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Economic Forecasting

of predictor variables. The authors pay special attention to how estimation error, model uncertainty, and model instability affect forecasting;

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Selection Models for Nonignorable Missing Data

Bayesian estimation approaches are discussed. A selection model with a nonparametric missing model that allows to treat flexible missing patterns;

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Optical Bit Error Rate

important and complex subject: bit error rate (BER) estimation of a transmitted signal with a focus on optical transmission. It includes coverage;

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A Posteriori Error Estimation Techniques for Finite Element Methods

reviews the most frequently used a posteriori error estimation techniques and applies them to a broad class of linear and nonlinear elliptic and;

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Mixture Models and Applications

interesting and challenging problems such as parameters estimation, model selection, feature selection, etc. The goal of this book is to summarize the;

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Measurement Error Models

...[the book] provides a complete treatment of an important and frequently ignored topic. Those who work with measurement error models will find;

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Essential Statistical Inference

, including a co-authored book on non-linear measurement error models. In recent years the authors have jointly worked on variable selection methods.;

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Finite Element Analysis with Error Estimators

methods and to automatic adaptation (error estimation) that will enable students to understand and use FEA as a true engineering tool. It has been;

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LTE Advanced - Physical Layer Improvements

-aided channel estimation, show that assuming a parametric channel model can effectively improve the estimate accuracy. The algorithms based on;

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Latent Class Analysis of Survey Error

tools and techniques employed during the modeling and estimation of classification errors, featuring a special focus on both latent class;

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Regression Models as a Tool in Medical Research

results is often challenging for beginners. Regression Models as a Tool in Medical Research presents the fundamental concepts and important;

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Regression Models As A Tool In Medical Research

results is often challenging for beginners. Regression Models as a Tool in Medical Research presents the fundamental concepts and important;

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Asymptotic Theory for Econometricians

/>* Efficient estimation with estimated error covariance matrices * Efficient IV estimation;

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Model Based Parameter Estimation

This judicious selection of articles combines mathematical and numerical methods to apply parameter estimation and optimum experimental;

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Perspectives on Big Data Analysis

-dimensional data with a focus on model selection and data reduction. The chapters contained in this book deal with submodel selection and parameter;

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Small Area Estimation

Praise for the First Edition This pioneering work, in which Rao provides a comprehensive and up-to-date treatment of small area estimation;

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Channel Estimation Using Adaptive Algorithms

Channel estimation algorithms explain the behavior of the channel and its allow the receiver to approximate the impulse response of the;

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Shrinkage Estimation

the authors take a Bayesian view of shrinkage estimation in the normal setting. Chapter 4 introduces the general classes of spherically and;

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Rolls-Royce plc. A Company's Valuation on the Basis of 2013's and Historic Financial Reports and Figures

Pricing Model (CAPM), the Market Derived Pricing Model (MCPM) and the Dividend Valuation Model (DVM). Comment on the potential sources of error;

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Cyber-Physical Power Systems State Estimation

model state estimation and non-synchronized measurements system modelsPresents a novel, extended optimization, physics-based model;

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A User's Guide to Path Analysis

underlying path analysis * Discussion of causal model estimation with illustrations * Practical research questions for interpreting a path model;

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Cognitive Therapy in a Nutshell

Therapy in a Nutshell provides the ideal place to start and a springboard to further study.;

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