Fundamentals of Mathematical Statistics

Author:   Steffen Lauritzen
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032223827


Pages:   244
Publication Date:   17 April 2023
Format:   Hardback
Availability:   In Print   Availability explained
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Fundamentals of Mathematical Statistics


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Author:   Steffen Lauritzen
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.640kg
ISBN:  

9781032223827


ISBN 10:   1032223820
Pages:   244
Publication Date:   17 April 2023
Audience:   College/higher education ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1. Statistical Models. 1.1. Models and parametrizations. 1.2. Likelihood, score, and information. 1.3. Exercises. 2. Linear Normal Models. 2.1. The multivariate normal distribution. 2.2. The normal distribution on a vector space. 2.3. The linear normal model. 2.4. Exercises. 3. Exponential Families. 3.1. Regular exponential families. 3.2. Examples of exponential families. 3.3. Properties of exponential families. 3.4. Constructing exponential families. 3.5. Moments, score, and information. 3.6. Curved exponential families. 3.7. Exercises. 4. Estimation. 4.1. General concepts and exact properties. 4.2. Various estimation methods. 4.3. The method of maximum likelihood. 4.4. Exercises. 5. Asymptotic Theory. 5.1. Asymptotic consistency and normality. 5.2. Asymptotics of moment estimators. 5.3. Asymptotics in regular exponential families. 5.4. Asymptotics in curved exponential families. 5.5. More about asymptotics. 5.6. Exercises. 6. Set Estimation. 6.1. Basic issues and definition. 6.2. Exact confidence regions by pivots. 6.3. Likelihood based regions. 6.4. Confidence regions by asymptotic pivots. 6.5. Properties of set estimators. 6.6. Credibility regions. 6.7. Exercises. 7. Significance Testing. 7.1. The problem. 7.2. Hypotheses and test statistics. 7.3. Significance and p-values. 7.4. Critical regions, power, and error types. 7.5. Set estimation and testing. 7.6. Test in linear normal models. 7.7. Determining p-values. 7.8. Exercises. 8. Models for Tables of Counts. 8.1. Multinomial exponential families. 8.2. Genetic equilibrium models. 8.3. Contingency tables. 8.4. Exercises.

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Author Information

Steffen Lauritzen is Emeritus Professor of Statistics at the University of Copenhagen and the University of Oxford as well as Honorary Professor at Aalborg University. He is most well known for his work on graphical models, in particular represented in a monograph from 1996 with that title, but he has published in a wide range of topics. He has received numerous awards and honours, including the Guy Medal in Silver from the Royal Statistical Society, where he also is an Honorary Fellow. He was elected to the Royal Danish Academy of Sciences and Letters in 2008 and became a Fellow of the Royal Society in 2011.

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