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Introduction to the Theory of Statistical Inference

Based on the authors lecture notes, Introduction to the Theory of Statistical Inference presents concise yet complete coverage;

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Introduction to the Theory of Statistical Inference

Based on the authors' lecture notes, Introduction to the Theory of Statistical Inference presents concise yet complete coverage;

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Probability and Statistical Inference

inference that are fundamental to a proper understanding of data analysis and statistical modelling. It presents these topics in an accessible;

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Probability and Statistical Inference

inference that are fundamental to a proper understanding of data analysis and statistical modelling. It presents these topics in an accessible;

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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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Introduction to Empirical Processes and Semiparametric Inference

Kosorok's brilliant text provides a self-contained introduction to empirical processes and semiparametric inference. These powerful;

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Core Statistics

addressed by the two approaches. This compact package serves as a lively introduction to the theory and tools that a beginning graduate student;

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Core Statistics

addressed by the two approaches. This compact package serves as a lively introduction to the theory and tools that a beginning graduate student;

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Introduction to Statistical Decision Theory

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision;

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Introduction to Statistical Decision Theory

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision;

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A Concise Introduction to Statistical Inference

the social sciences, as well as students who have studied statistics in the past, but need a more solid grounding in statistical techniques to;

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A Concise Introduction to Statistical Inference

the social sciences, as well as students who have studied statistics in the past, but need a more solid grounding in statistical techniques to;

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Introduction to Probability Theory and Statistical Inference

Discusses probability theory and to many methods used in problems of statistical inference. The Third Edition features material on;

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Statistical Inference

Filling a gap in current Bayesian theory, Statistical Inference: An Integrated Bayesian/Likelihood Approach presents a unified Bayesian;

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Statistical Inference

Filling a gap in current Bayesian theory, Statistical Inference: An Integrated Bayesian/Likelihood Approach presents a unified Bayesian;

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Statistical Inference for Engineers and Data Scientists

This book is a mathematically accessible and up-to-date introduction to the tools needed to address modern inference problems;

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Statistical Foundations of Econometric Modelling

This textbook provides an introduction to econometrics through a grounding in probability theory and statistical inference. The emphasis;

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A First Course in Statistical Inference

This book offers a modern and accessible introduction to Statistical Inference, the science of inferring key information from data. Aimed;

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Statistical Modelling by Exponential Families

This book is a readable, digestible introduction to exponential families, encompassing statistical models based on the most useful;

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Statistical Modelling by Exponential Families

This book is a readable, digestible introduction to exponential families, encompassing statistical models based on the most useful;

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Introduction to Bayesian Statistics

Monte Carlo simulations, with all related macros available on the book's website Introduction to Bayesian Statistics, Third Edition is a;

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Essentials of Statistical Inference

approaches to inference, as well as more advanced material on developments in statistical theory, including: material on Bayesian computation, such;

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Essentials of Statistical Inference

approaches to inference, as well as more advanced material on developments in statistical theory, including: material on Bayesian computation, such;

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Constrained Statistical Inference

inference under inequality constraints and to apply the theory to problems in a variety of areas. Constrained Statistical Inference: Order;

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Aspects of Statistical Inference

Relevant, concrete, and thorough--the essential data-based text on statistical inference The ability to formulate abstract concepts and;

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Models for Probability and Statistical Inference

Statistical Inference was written over a five-year period and serves as a comprehensive treatment of the fundamentals of probability and statistical;

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