Subject Index
(1−α) level p–content intervals
(β, γ)–upper tolerance limit
F–distributions
M–estimates
P–value
S–method
α–trimmed means
α–similar
α–similar on the boundary
σ-field
σ–finite measure
p–content prediction interval
p–content tolerance intervals
p–quantiles
t–test
absolutely continuous
acceptance probability
admissibility of estimators
algebra
alternative hypothesis
analysis of variance
ancillarity
ancillary statistic
association
asymptotic confidence intervals
asymptotic efficacy of Tn
asymptotic efficiency of MLE
asymptotic variance
asymptotically efficient
asymptotically normal
asymptotically size α test
augmented symmetric functions
autoregressive time–series
average predictive error probability
Bahadur’s theorem
Barndorff–Nielsen p*–formula
Bartlett test
Basu’s theorem
Bayes
Bayes decision function
Bayes equivariant
Bayes factor
Bayes procedures
Bayes theorem
Bayesian analysis
Bayesian approach
Bayesian estimation
Bayesian inference
Bayesian testing
Bernoulli trials
best linear combination of order statistics
best linear unbiased estimators
Beta distributions
beta function
Bhattacharyya lower bound
binomial distribution
bivariate distribution function
Bonferroni inequality
Borel σ–field
Borel–Cantelli Lemma
Box–Muller transformation
C.R. regularity conditions
canonical parameters
Cantelli’s theorem
Cantor distribution
Cauchy distribution
Central Limit Theorem
central moments
Chapman–Robbins inequality
characteristic function
Chebychev inequality
Chebychev–Hermite ...
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