Two Expository Notes on Statistical Inference: Generalized Maximum Likelihood Methods With Exact Justifications on Two Levels; Confidence Curves: An ... Statistical Hypotheses (Classic Reprint) - Hardcover

Allan Birnbaum

 
9780666776303: Two Expository Notes on Statistical Inference: Generalized Maximum Likelihood Methods With Exact Justifications on Two Levels; Confidence Curves: An ... Statistical Hypotheses (Classic Reprint)

Synopsis

Explore a flexible approach to estimation and tests that fits real data use .

This note presents confidence curves as a practical, omnibus tool for learning from data, blending estimation with testing in a single framework.

This work explains how to interpret significance tests in a way that separates formal statistical significance from practical significance in real contexts. It shows how confidence curves unify point estimates, confidence limits, and hypothesis testing at various levels, especially in one-parameter problems. The ideas are framed to be usable in applied statistics, with attention to making interpretations less tied to fixed levels.
  • Learn how a confidence curve estimate is built from confidence limits at multiple levels
  • See how to report a complete, flexible picture of uncertainty for a parameter
  • Understand how one- and two-sided tests relate to confidence limits and curves
  • Discover how this approach connects traditional methods to practical data analysis
Ideal for readers of applied statistics, data analysts, and researchers who want a clearer, more adaptable way to quantify uncertainty and test hypotheses.

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