TOEPLITZ 1 (MDEPENDENT(1))
bootstrap, reps(20) seed(1) saving(mdep1test): mixed Pain i.RANDOM W W2 W1 RANDOM#c.W1#c.W, || ID:, noconstant residuals(toeplitz 1, t(t))
(running mixed on estimation sample)
Bootstrap replications (20)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5
xxxxxxxxxxxxxxxxxxxx
insufficient observations to compute bootstrap standard errors
no results will be saved
r(2000);
AR(1)
bootstrap, reps(20) seed(1) saving(ar1test): mixed Pain i.RANDOM W W2 W1 RANDOM#c.W1#c.W, || ID:, noconstant residuals(ar 1, t(t))
(running mixed on estimation sample)
Bootstrap replications (20)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5
xxxxxxxxxxxxxxxxxxxx
insufficient observations to compute bootstrap standard errors
no results will be saved
r(2000);
EXCHANGEABLE
bootstrap, reps(20) seed(1) saving(exchtest): mixed Pain i.RANDOM W W2 W1 RANDOM#c.W1#c.W, || ID:, noconstant residuals(exch, t(t))
(running mixed on estimation sample)
Bootstrap replications (20)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5
....................
Mixed-effects ML regression Number of obs = 3,224
Group variable: ID Number of groups = 62
Obs per group:
min = 40
avg = 51.2
max = 52
Wald chi2(6) = 1619.72
Log likelihood = -5665.6279 Prob > chi2 = 0.0000
.
.
.
INDEPENDENT
bootstrap, reps(20) seed(1) saving(indeptest): mixed Pain i.RANDOM W W2 W1 RANDOM#c.W1#c.W, || ID:, noconstant residuals(indep, t(t))
(running mixed on estimation sample)
Bootstrap replications (20)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5
....................
Mixed-effects ML regression Number of obs = 3,224
Wald chi2(6) = 1291.49
Log likelihood = -6253.7152 Prob > chi2 = 0.0000
.
.
.
The same problem occurs if you try to use a fixed toeplitz 1 correlation matrix.
.
.
.
bootstrap, reps(20) seed(1) saving(mdep1test): mixed Pain i.RANDOM W W2 W1 RANDOM#c.W1#c.W, || ID:, noconstant residuals(toeplitz 1, t(t))
(running mixed on estimation sample)
Bootstrap replications (20)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5
xxxxxxxxxxxxxxxxxxxx
insufficient observations to compute bootstrap standard errors
no results will be saved
r(2000);
AR(1)
bootstrap, reps(20) seed(1) saving(ar1test): mixed Pain i.RANDOM W W2 W1 RANDOM#c.W1#c.W, || ID:, noconstant residuals(ar 1, t(t))
(running mixed on estimation sample)
Bootstrap replications (20)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5
xxxxxxxxxxxxxxxxxxxx
insufficient observations to compute bootstrap standard errors
no results will be saved
r(2000);
EXCHANGEABLE
bootstrap, reps(20) seed(1) saving(exchtest): mixed Pain i.RANDOM W W2 W1 RANDOM#c.W1#c.W, || ID:, noconstant residuals(exch, t(t))
(running mixed on estimation sample)
Bootstrap replications (20)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5
....................
Mixed-effects ML regression Number of obs = 3,224
Group variable: ID Number of groups = 62
Obs per group:
min = 40
avg = 51.2
max = 52
Wald chi2(6) = 1619.72
Log likelihood = -5665.6279 Prob > chi2 = 0.0000
.
.
.
INDEPENDENT
bootstrap, reps(20) seed(1) saving(indeptest): mixed Pain i.RANDOM W W2 W1 RANDOM#c.W1#c.W, || ID:, noconstant residuals(indep, t(t))
(running mixed on estimation sample)
Bootstrap replications (20)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5
....................
Mixed-effects ML regression Number of obs = 3,224
Wald chi2(6) = 1291.49
Log likelihood = -6253.7152 Prob > chi2 = 0.0000
.
.
.
The same problem occurs if you try to use a fixed toeplitz 1 correlation matrix.
.
.
.
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