Description
Introduction to the Theory of Statistical Inference
Chapman & Hall/CRC Texts in Statistical Science Series
Author: Liero Hannelore
Language: EnglishSubject for Introduction to the Theory of Statistical Inference:
Keywords
Stenella Coeruleoalba; Exponential Families; Fritillaria Meleagris; Natural Parameter Space; Neyman Pearson Theory; Minimal Sufficient Statistics; Neyman Pearson Lemma; Independent Standard Normal Random Variables; Genotype AA; Suitable Probability Distributions; Advanced Undergraduate Students; Maximum Likelihood Estimators; Obs; Sample Space; Ballpoint Pens; Mercury Concentration; Hypergeometric Distribution; Finite Dimensional Parameter; Basic Probability Theory
Publication date: 08-2011
Support: Print on demand
Publication date: 06-2017
· 15.6x23.4 cm · Hardback
Description
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Based on the authors? lecture notes, 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.
Highlights
- Basic notations and ideas of statistical inference are explained in a mathematically rigorous, but understandable, form
- Classroom-tested and designed for students of mathematical statistics
- Examples, applications of the general theory to special cases, exercises, and figures provide a deeper insight into the material
- Solutions provided for problems formulated at the end of each chapter
- Combines the theoretical basis of statistical inference with a useful applied toolbox that includes linear models
- 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.
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