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Sequential Estimation

This book devoted to sequential estimation presents the advances of the past fifteen years including those in the areas of three--stage;

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Cognitive Fusion for Target Tracking

The adaptive configuration of nodes in a sensor network has the potential to improve sequential estimation performance by intelligently;

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Particle Filters for Random Set Models

This book discusses state estimation of stochastic dynamic systems from noisy measurements, specifically sequential Bayesian estimation and;

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Sequential Methods and Their Applications

Interactively Run Simulations and Experiment with Real or Simulated Data to Make Sequential Analysis Come Alive Taking an accessible;

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Factorization Methods for Discrete Sequential Estimation

This estimation reference text thoroughly describes matrix factorization methods successfully employed by numerical analysts, familiarizing;

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Applied Sequential Methodologies

A technically precise yet clear presentation of modern sequential methodologies having immediate applications to practical problems in the;

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Fast Sequential Monte Carlo Methods for Counting and Optimization

for estimation of rare-event probabilities, counting problems, and combinatorial optimization, Fast Sequential Monte Carlo Methods for;

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Sequential Analysis

applications. Part III outlines a possible approach to the problem of sequential multi-valued decisions and estimation. All three sections can be;

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Optimal Estimation of Dynamic Systems

sequential state estimation, and additional examples and exercises. An ideal self-study guide for practicing engineers as well as senior;

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Sequential Monte Carlo Methods for Nonlinear Discrete-Time Filtering

of sequential state estimation in linear, Gaussian dynamic models, which corresponds to the well-known Kalman (or Kalman-Bucy) filter. Finally, we move;

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Statistics for the 21st Century

and accuracy of the sequential bootstrap, hypothesis testing, geometry in multivariate analysis, the classical extreme value model, the;

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An Introduction to Sequential Monte Carlo

This book provides a general introduction to Sequential Monte Carlo (SMC) methods, also known as particle filters. These methods have;

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Group Sequential and Confirmatory Adaptive Designs in Clinical Trials

estimation methods and methods for the determination of an overall p-value. Part I of the book provides the group sequential methods that are;

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Applied Statistical Science III

Scale Matrix in the Multivariate F Distribution Under Stein's Loss Function; Sequential Estimation of the Man of An Exponential Distribution Via;

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The Economics of Search

seemingly slippery issues in labour market theory, estimation theory and economic dynamics in general, and surveys the entire field of the economics;

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The Economics of Search

seemingly slippery issues in labour market theory, estimation theory and economic dynamics in general, and surveys the entire field of the economics;

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Iterative Optimization in Inverse Problems

, and statistical estimation. It incorporates recent work that has not appeared in other books and draws on the author's considerable research;

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Photogrammetric Computer Vision

components, and sequential estimation, with a focus on the statistically sound diagnostics of estimation results essential in vision metrology. Part;

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Understanding Least Squares Estimation and Geomatics Data Analysis

Provides a modern approach to least squares estimation and data analysis for undergraduate land surveying and geomatics programs Rich;

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Sequential Logic

Until now, there was no single resource for actual digital system design. Using both basic and advanced concepts, Sequential Logic;

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Dominating Sequential Functions

Dominating Sequential Functions: Superse is een boek van Yadav, Dharmendra Kumar;

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Biopharmaceutical Sequential Statistical Applications

Focusing on group sequential procedures, summarizes the sequential statistical methods used in anticancer, antiviral, cardiovascular, and;

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The Ocean Circulation Inverse Problem

estimation, sequential estimators and adjoint/Pontryagin principle methods. This book is intended for use as a graduate level text for students;

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Functional and High-Dimensional Statistics and Related Fields

methodological and computational aspects, as well as real-world applications. It covers topics like classification, confidence bands, density estimation;

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Sequential Analysis

of statistical techniques were developed and applied. These techniques have come to be known as sequential analysis. Sequential analysis has as its first;

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Sequential Analysis

of statistical techniques were developed and applied. These techniques have come to be known as sequential analysis. Sequential analysis has as its first;

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Change-Point Analysis in Nonstationary Stochastic Models

This book covers the development of methods for detection and estimation of changes in complex systems. These systems are generally;

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