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Mathematics
[Introduction to the Contents]
Why the various statistical methods and estimators of today were made and how they were established.
By showing the process of establishing each concept from discovery and invention to modern theory in concrete and detail, including many quotations from the original article and mathematical expressions, a realistic history path emerges.
Introducing the history and philosophical debate of mathematics and statistics, this book is an excellent reference book for researchers and educators involved in mathematical statistics, as well as a useful manual for readers interested in statistical speculation.
This book is an excellent reference book for researchers and educators involved in mathematical statistics, as well as a useful manual for readers interested in statistical speculation.
This book shows in detail what the giants who laid the foundation of modern mathematical statistics think about, what they think about, what they think about, and what they aim for.
From the debate about what the giants think about probabilities, what errors are, and how to make correct inferences from data containing errors, the established statistical methods are described in detail.
From the historical background, it is clear that the definitions of each method and concept were originally incomplete, unproven, and created with confusion as to how to interpret them.
From the historical background, it is clear that the definition of each method and concept was originally incomplete, unproven, and created with confusion What was the point of the debate with many people, and what did Nijman and Pearson demand for testing in their debate?
- The belief under which Bayes' statistics was formed as a result of repeated support and criticism in Laplace's long history since Laplace's use of the principle of inverse or equal probability (the principle of nondiscrimination).
[Original] Classic Topics on the History of Modern Mathematical Statistics : From Laplace to More Recent Times, Wiley, 2016 Legendre