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Empirical Likelihood Methods in Biomedicine and Health

Empirical Likelihood Methods in Biomedicine and Health provides a compendium of nonparametric likelihood statistical techniques in the;

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Empirical Likelihood Methods in Biomedicine and Health

Empirical Likelihood Methods in Biomedicine and Health provides a compendium of nonparametric likelihood statistical techniques in the;

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Modern Statistical Methods for Health Research

This book brings together the voices of leading experts in the frontiers of biostatistics, biomedicine, and the health sciences to discuss;

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Empirical Likelihood Method in Survival Analysis

empirical likelihood method for right censored survival data. The author uses R for calculating empirical likelihood and includes many worked out;

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Empirical Likelihood Method in Survival Analysis

empirical likelihood method for right censored survival data. The author uses R for calculating empirical likelihood and includes many worked out;

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Empirical Likelihood

treatment of this method for constructing confidence regions and testing hypotheses. The author applies empirical likelihood to a range of problems;

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Applying Quantitative Bias Analysis to Epidemiologic Data

This textbook and guide focuses on methodologies for bias analysis in epidemiology and public health, not only providing updates to the;

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Empirical Bayes and Likelihood Inference

of Bayesian, likelihood and empirical Bayes methods, presented at a workshop held in Montreal, Canada. The goal of the workshop was to explore the;

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Likelihood and Bayesian Inference

. Topics include Bayesian updating, conjugate and reference priors, Bayesian point and interval estimates, Bayesian asymptotics and empirical Bayes;

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Likelihood & Bayesian Inference

. Topics include Bayesian updating, conjugate and reference priors, Bayesian point and interval estimates, Bayesian asymptotics and empirical Bayes;

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Handbook of Health Survey Methods

A comprehensive guidebook to the current methodologies and practices used in health surveys A unique and self-contained resource, Handbook;

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Missing Data Methods

, covering topics such as: Missing-Data Imputation in Nonstationary Panel Data Models; Markov Switching Models in Empirical Finance; Bayesian;

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Missing Data Methods

, covering topics such as: Missing-Data Imputation in Nonstationary Panel Data Models; Markov Switching Models in Empirical Finance; Bayesian;

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Empirical Likelihood and Quantile Methods for Time Series

error. This is the first book to consider the generalized empirical likelihood applied to time series models in frequency domain and also the;

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An Information Theoretic Approach to Econometrics

This book is intended to provide the reader with a firm conceptual and empirical understanding of basic information-theoretic econometric;

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An Information Theoretic Approach to Econometrics

This book is intended to provide the reader with a firm conceptual and empirical understanding of basic information-theoretic econometric;

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Statistical Inference Based on the likelihood

The Likelihood plays a key role in both introducing general notions of statistical theory, and in developing specific methods. This book;

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Statistical Inference Based On The Likelihood

The Likelihood plays a key role in both introducing general notions of statistical theory, and in developing specific methods. This book;

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In All Likelihood

unifying the demands of statistical modelling and the theory of inference. Every likelihood concept is illustrated by realistic examples, which are;

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Algebraic Geometry and Statistical Learning Theory

training errors; 4. the generalization errors of maximum likelihood and a posteriori methods are clarified by empirical process theory on algebraic;

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The Handbook of Microbial Bioresources

of microbial resources and applications. It covers the fundamental and applied aspects of microorganisms in the health, industry, agriculture and;

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Maximum Likelihood Estimation for Sample Surveys

and widely used likelihood methods. The methods used to select samples often result in the sample differing in important ways from the target;

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Statistical Testing Strategies in the Health Sciences

graphical methods and classical procedures through computationally intensive bootstrap strategies to advanced empirical likelihood techniques. It;

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Statistical Testing Strategies in the Health Sciences

graphical methods and classical procedures through computationally intensive bootstrap strategies to advanced empirical likelihood techniques. It;

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Likelihood Methods in Biology and Ecology

Likelihood Methods in Biology and Ecology: A Modern Approach to Statistics emphasizes the importance of the likelihood function;

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Likelihood Methods in Biology and Ecology

Likelihood Methods in Biology and Ecology: A Modern Approach to Statistics emphasizes the importance of the likelihood function;

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Econometric Applications of Maximum Likelihood Methods

The advent of electronic computing permits the empirical analysis of economic models of far greater subtlety and rigour than before, when;

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