Computer Intensive Methods in Statistics

Author:   Silvelyn Zwanzig (Uppsala University, Sweden) ,  Behrang Mahjani (Uppsala University, Sweden)
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367194253


Pages:   218
Publication Date:   02 December 2019
Format:   Hardback
Availability:   In Print   Availability explained
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Computer Intensive Methods in Statistics


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Author:   Silvelyn Zwanzig (Uppsala University, Sweden) ,  Behrang Mahjani (Uppsala University, Sweden)
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.420kg
ISBN:  

9780367194253


ISBN 10:   0367194252
Pages:   218
Publication Date:   02 December 2019
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
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

Introduction. 1. Randfom Variable Generation. 2. Monte Carlo Methods. 3. Bootstrap. 4. Simulation based Methods. 5. Density Estimation. 6. Nonparametric Regression.

Reviews

""...The book is rich in content, excellent in coverage, highly informative, extremely reader friendly in style, and full of cartoon illustrations. The reader will find this book as a collection of the most important ideas and tools that are used in computer intensive methods for statistical analysis and data analytic investigations...The book can be used by upper undergraduate and graduate students as well as researchers and practitioners in statistics, data science, and users of all disciplines. The good news is that it is available in paperback. - Subir Ghosh, Technometrics, Volume 62 'After finishing the book, I feel that Computer Intensive Methods in Statistics is written for students at the graduate level and that it could also be used by practitioners, owing to its pure speech communication by leading experts engaged in applications in the real world (with inclusion of many examples). The book presents data and programs to replicate the models developed and offers new methods that are ready to use. In my opinion, the book is a must-have for the interested biostatistician since it reflects the rapid advances in technologies that have led to significant revolution.' - Luca Bertolaccini, International Society for Clinical Biostatistics, 71, 2021


...The book is rich in content, excellent in coverage, highly informative, extremely reader friendly in style, and full of cartoon illustrations. The reader will find this book as a collection of the most important ideas and tools that are used in computer intensive methods for statistical analysis and data analytic investigations...The book can be used by upper undergraduate and graduate students as well as researchers and practitioners in statistics, data science, and users of all disciplines. The good news is that it is available in paperback. - Subir Ghosh, Technometrics, Volume 62


Author Information

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. Behrang Mahjani is a postdoctoral fellow with a Ph.D. in Scientific Computing with a focus on Computational Statistics, from Uppsala University, Sweden. He joined the Seaver Autism Center for Research and Treatment at the Icahn School of Medicine at Mount Sinai, New York, in September 2017 and was formerly a postdoctoral fellow at the Karolinska Institutet, Stockholm, Sweden. His research is focused on solving large-scale problems through statistical and computational methods.

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