[posted and mailed]
Rich Ulrich <[EMAIL PROTECTED]> wrote in
<[EMAIL PROTECTED]>:
>
>
>On Wed, 16 May 2001 11:50:07 + (UTC), [EMAIL PROTECTED]
>(rpking) wrote:
>
>> For each of the two variance ratios, A=var(x)/var(y) and
>> B=var(w)/var(z), I bootstrapped with 2000 replications to obtain
>
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I am looking for a good software that has the multivariate time series
capabilities. Things such as multivariate ARMA, ARMAX: state space
model, tranfer function modeling, ...etc.
Thanks to everyone who answered my question. The various reservations
about such a test were spot on, and helpful.
My own reservations were because, I think, it is not at all clear what
the null would be in this case. Are you testing mu = beta_0 (so using
the null model with fixed mean) or beta_0
[ note, Jay: HTML-formatting makes this hard to read ]
On 11 May 2001 00:30:06 -0700, [EMAIL PROTECTED] (Jay Warner) wrote:
[snip, HTML header]
> I've had occasion to talk with a number of educator types lately, at different
> application and responsibility levels of primary & secondary Ed.
>
What if all right-hand side variables have mean close to zero? Intercept
will be close to the sample mean even if model is significant.
On 15 May 2001, Alan McLean wrote:
> Hi to all,
>
> The usual test for a simple linear regression model is to test whether
> the slope coefficient is zero or not
On Wed, 16 May 2001 11:50:07 + (UTC), [EMAIL PROTECTED]
(rpking) wrote:
> For each of the two variance ratios, A=var(x)/var(y) and
> B=var(w)/var(z), I bootstrapped with 2000 replications to obtain
> confidence intervals. Now I want to test whether the means are
> equal, ie. E(A) = E(B), a
If the mean of the predictor X is zero, the intercept is equal to the
mean of the dependent variable Y, however steep or shallow the slope
may be. And as Jim pointed out, the standard error of a predicted value
depends on its distance from the mean of X (being larger the farther
away it is fr
Hi
On 15 May 2001, Alan McLean wrote:
> The usual test for a simple linear regression model is to test whether
> the slope coefficient is zero or not. However, if the slope is very
> close to zero, the intercept will be very close to the dependent
> variable mean, which suggests that a test could
rpking wrote:
>
> For each of the two variance ratios, A=var(x)/var(y) and
> B=var(w)/var(z), I bootstrapped with 2000 replications to obtain
> confidence intervals. Now I want to test whether the means are
> equal, ie. E(A) = E(B), and I am wondering whether I could just use
> the 2000 data poi
For each of the two variance ratios, A=var(x)/var(y) and
B=var(w)/var(z), I bootstrapped with 2000 replications to obtain
confidence intervals. Now I want to test whether the means are
equal, ie. E(A) = E(B), and I am wondering whether I could just use
the 2000 data points, calculate the standard
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