Testing Statistical Hypotheses /
by E.L. Lehmann
- 3rd ed.
- New Delhi: Springer (India), 2009.
- xiv, 784p.
I.Small sample theory-- 1.The general decision problem-- 2.The probability background-- 3.Uniformly most powerful tests-- 4.Unbiasedness : theory and first applications-- 5.Unbiasedness : applications to normal distributions-- 6.Invariance-- 7.Linear hypotheses -- 8.The minimax principle-- 9.Multiple testing and simultaneous inference-- II LFarge-sample theory-- 11.Basic large sample theory-- 12.Quadratic mean differentiable families-- 13.Large sample optimality-- 14.Testing goodness of fit -- 15.General large sample methods.