Introduction To The Theory Of Statistical Inference (chapman & Hall/crc Texts In Statistical Science)

Introduction To The Theory Of Statistical Inference (chapman & Hall/crc Texts In Statistical Science)
by Hannelore Liero / / / PDF


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Based on the authors’ lecture notes,

Based on the authors’ lecture notes,Introduction to the Theory of Statistical Inference

Introduction to the Theory of Statistical Inference presents concise yet complete coverage of statistical inference theory, focusing on the fundamental classical principles. Suitable for a second-semester undergraduate course on statistical inference, the book offers proofs to support the mathematics. It illustrates core concepts using cartoons and provides solutions to all examples and problems.

presents concise yet complete coverage of statistical inference theory, focusing on the fundamental classical principles. Suitable for a second-semester undergraduate course on statistical inference, the book offers proofs to support the mathematics. It illustrates core concepts using cartoons and provides solutions to all examples and problems.Highlights

HighlightsBasic notations and ideas of statistical inference are explained in a mathematically rigorous, but understandable, form

Basic notations and ideas of statistical inference are explained in a mathematically rigorous, but understandable, formClassroom-tested and designed for students of mathematical statistics

Classroom-tested and designed for students of mathematical statisticsExamples, applications of the general theory to special cases, exercises, and figures provide a deeper insight into the material

Examples, applications of the general theory to special cases, exercises, and figures provide a deeper insight into the materialSolutions provided for problems formulated at the end of each chapter

Solutions provided for problems formulated at the end of each chapterCombines the theoretical basis of statistical inference with a useful applied toolbox that includes linear models

Combines the theoretical basis of statistical inference with a useful applied toolbox that includes linear modelsTheoretical, difficult, or frequently misunderstood problems are marked

Theoretical, difficult, or frequently misunderstood problems are marked The book is aimed at advanced undergraduate students, graduate students in mathematics and statistics, and theoretically-interested students from other disciplines. Results are presented as theorems and corollaries. All theorems are proven and important statements are formulated as guidelines in prose. With its multipronged and student-tested approach, this book is an excellent introduction to the theory of statistical inference.

The book is aimed at advanced undergraduate students, graduate students in mathematics and statistics, and theoretically-interested students from other disciplines. Results are presented as theorems and corollaries. All theorems are proven and important statements are formulated as guidelines in prose. With its multipronged and student-tested approach, this book is an excellent introduction to the theory of statistical inference.

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