This book is a mathematically accessible and up-to-date
introduction to the tools needed to address modern inference
problems in engineering and data science, ideal for graduate
students taking courses on statistical inference and detection and
estimation, and an invaluable reference for researchers and
professionals. With a wealth of illustrations and examples to
explain the key features of the theory and to connect with
real-world applications, additional material to explore more
advanced concepts, and numerous end-of-chapter problems to test the
reader's knowledge, this textbook is the 'go-to' guide for learning
about the core principles of statistical inference and its
application in engineering and data science. The password-protected
solutions manual and the image gallery from the book are available
online.
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