Revision #706 → #991 · back to history
addedAkaike information criterion (AIC)330eb289b0a4
addedAIC value of a model8b59c06c3b74
addedModel selection via minimum AIC391422ab3652
addedAkaike's estimation result57f740c4b52f
addedRelative likelihood of model i2ea9586eee15
addedProbability interpretation of relative likelihood469c7a9ff834
addedThree candidate models example731538361acb
addedReplicating Student's t-test via AICc210f17208a9
addedComparing categorical data sets via AIC254a5ee3508e
addedAICc (small-sample corrected AIC)bfd8245dc2bc
addedAICc converges to AICc0f02bc8a6e0
addedCounting parameters in a straight line model6092fcc7b74c
addedParameters of an autoregressive model99f8489832ba
addedComparing normal vs log-normal models6143198a79eb
addedBIC penalty vs AIC penalty72a3b9b6ed9e
addedBIC selects the true model asymptotically28eb40efb8d8
addedAIC asymptotic optimality in regression043c4349a80e
addedAIC equivalent to minimum RSS for same kd4df25e647fa
addedLeave-one-out CV equivalent to AIC4143c0fe1d7f
addedAsymptotic equivalence of AIC and Cpf0d7eb576c32