Testing Statistical Hypotheses

Lehmann, E. L., & Romano, J. P. (2005). Testing Statistical Hypotheses. Springer.

Type

Book

Intellectual base

Review or monograph

Year

2005

DOI

10.1007/0-387-27605-x

ISBN

9780387988641

DOI registrant

Springer Nature

Link

https://doi.org/10.1007/0-387-27605-x

Cited by

3 citations across 3 artifacts.

Domain-specific

• Exact test
  • The entry records a descriptive analytical identity; practical use requires the governing domain's evidence, standards, and safety obligations.
• Sign test
  • … null is twice the smaller binomial tail, with the discrete convention stated. to For a one-sample median test, subtract the hypothesized median from each observation, omit exact ties under the classical continuous rule, and test whether positive signs occur with probability one half. demonstrates that continuity.
• Z-test
  • … transfers from With known population variance, a sample mean is standardized by σ over square-root n and compared with standard-normal critical values. to Analysis reports effect and interval estimates, checks dependence and small-sample assumptions and does not invoke a Z-test merely because n seems large..

Verification

Does it exist? Confirmed. This work's DOI resolves to a registered record, which fixes its identity. That is all it fixes.

Does it back the claim? Not recorded. Neither this nor any other of the 3 citations of this work carries a recorded support check.

Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.

See how references were verified.

Registry ID ref:8521de44ab54 · see in the full table