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Statistical Inference as Severe Testing

of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions;

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Statistical Inference as Severe Testing

of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions;

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Statistical Inference via Convex Optimization

difficult for closed analytical form analysis, such as composite hypothesis testing and signal recovery in inverse problems. Statistical;

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Statistical Inference Based on Divergence Measures

explores classical problems of statistical inference, such as estimation and hypothesis testing, on the basis of measures of entropy and divergence;

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Statistical Inference Based on Divergence Measures

explores classical problems of statistical inference, such as estimation and hypothesis testing, on the basis of measures of entropy and divergence;

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Statistical Inference

Intended as a text for the postgraduate students of statistics, this well-written book gives a complete coverage of Estimation theory and;

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Fundamentals of Statistical Inference

relating those basics to the methodological debate about inferential errors associated with p-values and statistical significance testing, readers;

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Fundamental Statistical Inference

A hands-on approach to statistical inference that addresses the latest developments in this ever-growing field This clear and;

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Large-Scale Inference

We live in a new age for statistical inference, where modern scientific technology such as microarrays and fMRI machines routinely produce;

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Exact Statistical Inference for Categorical Data

Exact Statistical Inference for Categorical Data discusses the way asymptotic approaches have been often used in practice to make;

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Advanced Linear Models

This work details the statistical inference of linear models including parameter estimation, hypothesis testing, confidence intervals, and;

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Statistical Inference

Adopting a broad view of statistical inference, this text concentrates on what various techniques do, with mathematical proofs kept to a;

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Statistical Inference

A Balanced Treatment of Bayesian and Frequentist Inference Statistical Inference: An Integrated Approach, Second Edition presents an;

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Optimal Statistical Inference in Financial Engineering

Until now, few systematic studies of optimal statistical inference for stochastic processes had existed in the financial engineering;

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Statistical Inference

Estimation is literally huge. Filling a statistical resource gap, Statistical Inference: The Minimum Distance Approach comprehensively overviews;

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Statistical Inference

is literally huge. Filling a statistical resource gap, Statistical Inference: The Minimum Distance Approach comprehensively overviews developments;

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Theory of Statistical Inference

Theory of Statistical Inference is designed as a reference on statistical inference for researchers and students at the graduate or;

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Statistical Inference a Concise Course

as a helpful review of a wide range of statistical formulas with applications in business, government, public administration, and other;

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Estimation and Inferential Statistics

This book focuses on the meaning of statistical inference and estimation. Statistical inference is concerned with the problems;

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Estimation and Inferential Statistics

This book focuses on the meaning of statistical inference and estimation. Statistical inference is concerned with the problems;

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Proceedings of the International Conference on Linear Statistical Inference Linstat '93

This volume contains a selection of invited and contributed papers presented at the International Conference on Linear Statistical;

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Probability and Statistical Inference: Volume 1

many other texts using statistical decision theory as their underlying philosophy. This volume covers concepts from probability theory, backed;

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Probability and Statistical Inference

distribution theory. *Concise but broad account of statistical modelling, covering topics such as generalised linear models, survival analysis, time;

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Probability and Statistical Inference

distribution theory. *Concise but broad account of statistical modelling, covering topics such as generalised linear models, survival analysis, time;

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BI Statistical Methods: Volume I

In this ground-breaking work, Peter Walley constructs and justifies a radically rational theory of statistical inference. He derives;

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An Introduction to Statistical Inference and Its Applications with R

Emphasizing concepts rather than recipes, An Introduction to Statistical Inference and Its Applications with R provides a clear exposition;

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An Introduction to Statistical Inference and Its Applications with R

Emphasizing concepts rather than recipes, An Introduction to Statistical Inference and Its Applications with R provides a clear exposition;

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