Displaying 4 results from an estimated 4 matches for "b_4".
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2006 Jun 06
1
Problems using quadprog for solving quadratic programming problem
Hi,
I'm using the package quadprog to solve the following quadratic programming problem.
I want to minimize the function
(b_1-b_2)^2+(b_3-b_4)^2
by the following constraints b_i, i=1,...,4:
b_1+b_3=1
b_2+b_4=1
0.1<=b_1<=0.2
0.2<=b_2<=0.4
0.8<=b_3<=0.9
0.6<=b_4<=0.8
In my opinion the solution should be b_1=b_2=0.2 und b_3=b_4=0.8.
Unfortunately R doesn't find this solution and what's surprising to me,...
2005 Aug 31
1
Samba 3 problem with inheritation POSIX ACLs
...ounted an ext3 partition to /home
/dev/hdc2 /home type ext3 (rw,usrquota,acl)
The following directory structur exists on /home
/home
+-/public_folder (exported per samba as \\fileserver\public )
|
+-/a
| +-/a_ann
| | +-/anyfolder
| | +- anyfiles
| +-/a_bert
| +-/a_sven
| +-/a_eve
|
+-/b
+-/b_4
+-/b_5
+-/b_6
The following users exists:
ann
bert
sven
eve
Currently following ACL are set:
/a
- "inherit" at the filesystem is disabled by using setfacl -k
- for any user with an own subdirectory a_<username> exists an
ACE to allow Read and eXecute
/a/a_ann
-...
2005 Oct 13
3
Do Users of Nonlinear Mixed Effects Models Know Whether Their Software Really Works?
...tegration is not
practical for many nonlinear mixed models. We were interested in
seeing how well the use of the approximate log-likelihood values
produced by ADMB-RE's Laplace approximation option would perform.
We consider the alternative model with an extra interaction term
(b_4) from Lesaffre et al.
Here are the results for the laplace approximation:
# Number of parameters = 5 log-likelihood = -627.809
name value std dev P vlaue
b_1 -2.5233e+00 7.8829e-01 < 0.002
b_2 -3.0702e-01 6.8996e-01 0.655...
2011 Dec 05
1
Summary coefficients give NA values because of singularities
Hello,
I have a data set which I am using to find a model with the most significant
parameters included and most importantly, the p-values. The full model is
of the form:
sad[,1]~b_1 sad[,2]+b_2 sad[,3]+b_3 sad[,4]+b_4 sad[,5]+b_5 sad[,6]+b_6
sad[,7]+b_7 sad[,8]+b_8 sad[,9]+b_9 sad[,10],
where the 9 variables on the right hand side are all indicator variables.
The thing I don't understand is the line ' sad[, 10] NA NA
NA NA ' as a result of 'Coefficients: (1 not defined...