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9780367488758

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"""The large variety of topics covered in the current version allows students at all level, be it bachelor, master or Ph.D. to find topics suitable for their own study. On one hand, the book contains fairly advanced topics to help researchers in their own research areas, and on the other hand, it provides enough materials for lecturers to prepare lecture notes and design an entire course on theoretical statistics. Overall, I am extremely excited about Theory of Statistical Inference and eagerly waiting for numerous students, researchers, lecturers and even working professionals to enjoy the immense benefit coming out of its publication."" Somabha Mukherjee, National University of Singapore, Singapore, Journal of the American Statistical Association, February 2024."

""The large variety of topics covered in the current version allows students at all level, be it bachelor, master or Ph.D. to find topics suitable for their own study. On one hand, the book contains fairly advanced topics to help researchers in their own research areas, and on the other hand, it provides enough materials for lecturers to prepare lecture notes and design an entire course on theoretical statistics. Overall, I am extremely excited about Theory of Statistical Inference and eagerly waiting for numerous students, researchers, lecturers and even working professionals to enjoy the immense benefit coming out of its publication."" Somabha Mukherjee, National University of Singapore, Singapore, Journal of the American Statistical Association, February 2024.

Author Information

Anthony Almudevar is an Associate Professor of Biostatistics and Computational Biology at the University of Rochester. His research interests include statistical methodology, graphical models, bioinformatics, optimization and control theory. Other published volumes include Almudevar A (2014) Approximate Iterative Algorithms, CRC Press, and Statistical Modeling for Biological Systems: In Memory of Andrei Yakovlev, Anthony Almudevar, David Oakes and Jack Hall, editors (2020), Springer.

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