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Theory of Point Estimation

This second, much enlarged edition by Lehmann and Casella of Lehmann's classic text on point estimation maintains the outlook and general;

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Theoretical Statistics

hypotheses, respectively. Subsequent chapters discuss non-parametrics, interval estimation, point estimation, asymptotics, Bayesian procedure, and;

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Theoretical Statistics

hypotheses, respectively. Subsequent chapters discuss non-parametrics, interval estimation, point estimation, asymptotics, Bayesian procedure, and;

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Toolkit For Estimating Physiochemical Properties Of Organic Compounds

The estimation of the physicochemical properties (density, boiling point, melting point) of a compound is a vital tool in determining its;

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Multifractals

, time series, and spatial point patterns. With its careful yet practical blend of multifractals, estimation methods, and case studies;

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Fundamental Statistical Inference

moment) estimation, and a variety of methods of point estimation besides maximum likelihood, including use of characteristic functions, and;

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Sex Estimation of the Human Skeleton

Sex Estimation of the Human Skeleton is a comprehensive work on the theory, methods, and current issues for sexing human skeletal remains;

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An Engineering Approach to Optimal Control and Estimation Theory

the development of complex systems. As automated control becomes more sophisticated, estimation theory becomes increasingly important to;

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Optimal Design

. With respect to the second point there does remain a limiting factor as far as designs that are optimal for parameter estimation are concerned;

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Theory Of Preliminary Test And Stein-Type Estimation With Applications

Theory of Preliminary Test and Stein-Type Estimation with Applications provides a com-prehensive account of the theory and methods;

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Random Fields Estimation

This book contains a novel theory of random fields estimation of Wiener type, developed originally by the author and presented here. No;

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Statistical Inference

minimum. The approach is rigorous, but will be accessible to final year undergraduates. Classical approaches to point estimation, hypothesis;

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COSMIC Function Points

has become the major estimation technique based on international standards for building software-intensive systems. COSMIC Function Points;

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Cosmic Function Points

has become the major estimation technique based on international standards for building software-intensive systems. COSMIC Function Points;

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Item Response Theory

Item Response Theory clearly describes the most recently developed IRT models and furnishes detailed explanations of algorithms that can be;

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Optimal Estimation Of Parameters

This book presents a comprehensive and consistent theory of estimation. The framework described leads naturally to a generalized maximum;

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Simulation and Inference for Stochastic Processes with Yuima: A Comprehensive R Framework for Sdes and Other Stochastic Processes

point analysis, hypotheses testing, asynchronous covariance estimation, lead-lag estimation, LASSO model selection, and so on. YUIMA also;

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Modeling and Estimation of Structural Damage

of probability theory and random processes Covers both theory and algorithms for implementing maximum likelihood and Bayesian estimation approaches;

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Multisensor Fusion Estimation Theory and Application

This book focuses on the basic theory and methods of multisensor data fusion state estimation and its application. It consists of four;

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RLS Wiener Smoother from Randomly Delayed Observations in Linear Discrete-Time Systems

In this book, the new recursive least-squares (RLS) Wiener filter and fixed-point smoother are designed from randomly delayed observed;

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Random Processes

and random processes and details modern detection and estimation theory to accomplish these tasks. In this book, Lonnie Ludeman, an award;

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Multivariate Density Estimation

Clarifies modern data analysis through nonparametric density estimation for a complete working knowledge of the theory and methods;

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Digital Processing of Random Signals

discusses their structure and main properties. He proceeds to examinations of statistical estimation theory, classical spectrum estimation, and;

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Optimal State Estimation

mathematical approaches to estimating the state of a general system. The author presents state estimation theory clearly and rigorously, providing the;

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Introduction to Network Traffic Flow Theory

theory is key to understanding traffic estimation, control, management and planning. Users wills find this to be a great resource on;

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Introduction To Quantum-state Estimation

Quantum-state estimation is an important field in quantum information theory that deals with the characterization of states of affairs for;

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Introduction To Quantum-state Estimation

Quantum-state estimation is an important field in quantum information theory that deals with the characterization of states of affairs for;

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