Paradoxes in Scientific Inference (eBook, PDF) - Chang, Mark
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  • Format: PDF

The paradoxology of scientific inference refers to the study of the nature of scientific inference and evidence through controversies or, more precisely, paradoxes. This book analyzes paradoxes from many different perspectives, such as statistics, mathematics, philosophy, science, and artificial intelligence. It compares various quantitative methods of evidence measures, including frequentist hypothesis testing, likelihood, and Bayesian methods. The text elaborates on recent findings to reach new and exciting conclusions. Other topics covered include probability, plausible reasoning, multiplicity, and inferences.…mehr

Produktbeschreibung
The paradoxology of scientific inference refers to the study of the nature of scientific inference and evidence through controversies or, more precisely, paradoxes. This book analyzes paradoxes from many different perspectives, such as statistics, mathematics, philosophy, science, and artificial intelligence. It compares various quantitative methods of evidence measures, including frequentist hypothesis testing, likelihood, and Bayesian methods. The text elaborates on recent findings to reach new and exciting conclusions. Other topics covered include probability, plausible reasoning, multiplicity, and inferences.

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Autorenporträt
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.