Introduction to the Theory of Statistical Inference

Hannelore Liero

ISBN 10: 1439852928 / ISBN 13: 9781439852927

Published by Chapman And Hall/CRC, 2011

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Based on the authors' lecture notes, this text presents concise yet complete coverage of statistical inference theory, focusing on the fundamental classical principles. Unlike related textbooks, it combines the theoretical basis of statistical inference with a useful applied toolbox that includes linear models. Suitable for a second semester undergraduate course on statistical inference, the text offers proofs to support the mathematics and does not require any use of measure theory. It illustrates core concepts using cartoons and provides solutions to all examples and problems.

Seller Inventory # 9781439852927

Bibliographic Details

• Title: Introduction to the Theory of Statistical Inference
• Publisher: Chapman And Hall/CRC
• Publication Date: 2011
• Language: English
• ISBN 10: 1439852928
• ISBN 13: 9781439852927
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

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.

About the Author

Hannelore Liero is an apl. Prof. for Mathematical Statistics at the University of Potsdam. She studied Mathematics at the Humboldt-University in Berlin. She earned her Ph.D. while working as a scientist at the Academy of Sciences of the GDR. Since 1992, she has taught Statistics for undergraduate and graduate students in Mathematics, Biology and Computer Science at the Faculty of Sciences at the University of Potsdam. In addition to teaching, she does basic research in Statistics and supports scientists applying statistical methods in practice. Silvelyn Zwanzig is an Associate Professor for Mathematical Statistics at Uppsala University. She studied Mathematics at the Humboldt-University in Berlin. Before coming to Sweden she was Assistant Professor at the University of Hamburg in Germany. She received her Ph.D. in Mathematics at the Academy of Sciences of the GDR. Since 1991, she has taught Statistics for undergraduate and graduate students. Her research interests have moved from theoretical statistics to computer intensive statistics. She is interested in consulting and was working in Astrometry.