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Paradoxes in Scientific Inference, by Mark Chang
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Paradoxes are poems of science and philosophy that collectively allow us to address broad multidisciplinary issues within a microcosm. A true paradox is a source of creativity and a concise expression that delivers a profound idea and provokes a wild and endless imagination. The study of paradoxes leads to ultimate clarity and, at the same time, indisputably challenges your mind.
Paradoxes in Scientific Inference analyzes paradoxes from many different perspectives: statistics, mathematics, philosophy, science, artificial intelligence, and more. The book elaborates on findings and reaches new and exciting conclusions. It challenges your knowledge, intuition, and conventional wisdom, compelling you to adjust your way of thinking. Ultimately, you will learn effective scientific inference through studying the paradoxes.
- Sales Rank: #1496893 in eBooks
- Published on: 2012-10-15
- Released on: 2012-10-15
- Format: Kindle eBook
Review
"… an excellent book discussing the principles of scientific inference for readers with various backgrounds. Paradoxes are seen sporadically in different occasions; a systematic review in this book may reshape the reader’s brain, as the author warns, and, at the very least, provides a fresh view of scientific philosophy."
―Gang Li, Journal of Biopharmaceutical Statistics, 24, 2014
"This is a very, very entertaining book. It is extremely well written, extremely clear, and very highly recommended."
―Norman R. Draper, International Statistical Review (2013), 81
"… the brisk pace makes the pages turn easily and the book is fun …"
―Sandra Z. Keith, MAA Reviews, April 2013
About the Author
Mark Chang is vice president of biometrics at AMAG Pharmaceuticals and an adjunct professor at Boston University. Dr. Chang is a co-founder of the International Society for Biopharmaceutical Statistics and an elected fellow of the American Statistical Association. He serves on the editorial boards of several statistical journals and has published five books on biostatistics and clinical trial designs.
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