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Confidence Likelihood & Probability

This lively book lays out a methodology of confidence distributions and puts them through their pace;...

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Mathematical Statistics

: An Introduction to Likelihood Based Inference is an ideal textbook for upper-undergraduate and graduate courses in probability, mathematical;

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Probability and Statistical Inference

of probability and statistical inference in the style of a tutorial, using worked examples, exercises, numerous figures and tables, and computer;

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Probability and Statistical Inference

of probability and statistical inference in the style of a tutorial, using worked examples, exercises, numerous figures and tables, and computer;

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Likelihood

the subject. Edwards argues that the appropriate axiomatic basis for inductive inference is not that of probability, with its addition axiom;

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Empirical Likelihood Method in Survival Analysis

Add the Empirical Likelihood to Your Nonparametric Toolbox Empirical Likelihood Method in Sur;...

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Empirical Likelihood Method in Survival Analysis

Add the Empirical Likelihood to Your Nonparametric Toolbox Empirical Likelihood Method in Sur;...

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Theory of Probability

of probability from a subjectivist viewpoint. It proceeds from a detailed discussion of the philosophical mathematical aspects to a detailed mathematical;

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Frequency Analyses of Natural Extreme Events

provide procedures for implementing many probability distribution functions, all of them based on using a standard and a common computational;

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Likelihood

basis for inductive inference is not that of probability, with its addition axiom, but that of likelihood, the concept introduced by Fisher as a;

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Introductory Statistical Inference with the Likelihood Function

with sections on Bayesian computation and inference. An appendix contains unique coverage of the interpretation of probability, and coverage;

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Probability and Statistics in Experimental Physics

This book is a practical introduction to the use of probability and statistics in experimental physics for graduate students and advanced;

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Confidence Intervals in Generalized Regression Models

A Cohesive Approach to Regression Models Confidence Intervals in Generalized Regression Models in;...

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Confidence Intervals in Generalized Regression Models

A Cohesive Approach to Regression Models Confidence Intervals in Generalized Regression Models in;...

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Empirical Likelihood

Empirical likelihood provides inferences whose validity does not depend on specifying a parametric m;...

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Estimation, Inference and Specification Analysis

estimation, treats the interpretation of the maximum-likelihood estimator (MLE) for misspecified probability models and gives the conditions under;

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Likelihood & Bayesian Inference

in probability theory, matrix algebra, mathematical calculus, and numerical analysis, and each chapter is complemented by exercises. The text;

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Likelihood and Bayesian Inference

in probability theory, matrix algebra, mathematical calculus, and numerical analysis, and each chapter is complemented by exercises. The text;

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Probability

Probability theory is a fundamental pillar of modern mathematics with relations to other mathematical areas like algebra, topology;

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Estimation, Inference and Specification Analysis

estimation, treats the interpretation of the maximum-likelihood estimator (MLE) for misspecified probability models, and gives the conditions under;

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Probability and Statistics for Science and Engineering with Examples in R

Probability and Statistics for Science and Engineering with Examples in R teaches students how to use R software to obtain summary;

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Parametric Inference: An Introduction

Parametric Inference: An Introduction discusses the basic concept of sufficient statistic and the cl;...

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A Concise Guide to Statistics

The text gives a concise introduction into fundamental concepts in statistics. Chapter 1: Short exposition of probability theory, using;

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Statistical Inference

the theory of probability and distributions, used in inference.;

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Probability and Statistics

Probability and Statistics are two closely related sub-disciplines of mathematics. Statistics is a mathematical branch that deals with;

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Introduction to Probability and Statistics from a Bayesian Viewpoint, Part 1, Probability

The two parts of this book treat probability and statistics as mathematical disciplines and with the same degree of rigour as is adopted;

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Probability and Forensic Evidence

This book addresses the role of statistics and probability in the evaluation of forensic evidence, including both theoretical issues and;

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