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Mathematical Foundations of Infinite-Dimensional Statistical Models

This book develops the theory of statistical inference in statistical models with an infinite-dimensional parameter space, including;

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Inference Principles for Biostatisticians

pharmaceutical industry, the author explains the main principles of statistical inference with many examples and exercises. Extended examples illustrate;

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Inference Principles for Biostatisticians

pharmaceutical industry, the author explains the main principles of statistical inference with many examples and exercises. Extended examples illustrate;

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Introduction to the Theory of Statistical Inference

of statistical inference theory, focusing on the fundamental classical principles. Suitable for a second-semester undergraduate course on statistical;

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Introduction to the Theory of Statistical Inference

of statistical inference theory, focusing on the fundamental classical principles. Suitable for a second-semester undergraduate course on statistical;

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Workshop Statistics

tenets of statistical inference. Unique in its format, the text allows students to discover statistical concepts, explore statistical principles;

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From Finite Sample To Asymptotic Methods In Statistics

justified by asymptotic arguments but are still based on the concepts and principles that underlie exact statistical inference. With this;

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Statistical Foundations, Reasoning and Inference

This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics;

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BI Statistical Methods: Volume I

, from fundamental principles, new statistical methods that are coherent and objective and correct crucial failings of standard methods. Volume 1;

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Statistical Inference

This book builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the;

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Statistical Inference

This book builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the;

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Statistical Inference for Engineers and Data Scientists

knowledge, this textbook is the 'go-to' guide for learning about the core principles of statistical inference and its application in engineering and;

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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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Modes Of Parametric Statistical Inference

of statistics and the principles underlying statistical inference, including students in mathematics and the philosophy of science. Readers with a;

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Introductory Statistical Inference with the Likelihood Function

This textbook covers the fundamentals of statistical inference and statistical theory including Bayesian and frequentist approaches and;

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Probability and Statistical Inference

Probability and Statistical Inference: From Basic Principles to Advanced Models covers aspects of probability, distribution theory, and;

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Probability and Statistical Inference

Probability and Statistical Inference: From Basic Principles to Advanced Models covers aspects of probability, distribution theory, and;

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Asymptotic Theory Of Quantum Statistical Inference

Quantum statistical inference, a research field with deep roots in the foundations of both quantum physics and mathematical statistics, has;

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Sampling Design And Statistical Methods For Environmental Biologists

Provides--in an organized and compact source--a comprehensive guide to the principles of sampling design and statistical analysis methods;

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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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A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713-1935

This book offers a detailed history of parametric statistical inference. Covering the period between James Bernoulli and R.A. Fisher, it;

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Constrained Statistical Inference

An up-to-date approach to understanding statistical inference Statistical inference is finding useful applications in numerous fields, from;

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Semimartingales and their Statistical Inference

Statistical inference carries great significance in model building from both the theoretical and the applications points of view. Its;

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Semimartingales and Their Statistical Inference

Statistical inference carries great significance in model building from both the theoretical and the applications points of view. Its;

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Inferential Models

A New Approach to Sound Statistical Reasoning Inferential Models: Reasoning with Uncertainty introduces the authors' recently;

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Inferential Models

A New Approach to Sound Statistical Reasoning Inferential Models: Reasoning with Uncertainty introduces the authors' recently developed;

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