Title: On the Foundations of Statistical Inference, I: Binary Experiments (Classic Reprint)
Publisher: Forgotten Books
Publication Date: 2018
Language: English
ISBN 10: 0265564751
ISBN 13: 9780265564752
Binding: HRD
Condition: New
Weight: 431 grams

About this title

Synopsis

Explore how binary experiments shape modern statistical inference and decision making.

This book examines how outcomes from simple binary tests inform conclusions about hypotheses. It connects classic ideas from Neyman–Pearson to contemporary notions of evidence and decision procedures, all within a rigorous probabilistic framework.

The discussion stays concrete, showing how different inference methods relate to error probabilities, likelihoods, and practical interpretation. Readers will see how the same mathematical model can support varying conclusions across different contexts, while still maintaining objective probabilistic justification.

How binary experiments are formalized and compared within a unified algebra of statistics
How error probabilities and likelihood ratios influence conclusions
The role of the likelihood function in informative inference
How multi‑decision and intrinsic justification extend classical testing methods

Ideal for readers of foundational statistics and decision theory seeking a rigorous, model‑based view of how evidence guides conclusions.

"About this title" may belong to another edition of this title.

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