| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Algorithms for approximate conditional inference
|
John E. Kolassa
|
|
2003
|
13 |
2 |
p. 121-126
6 p.
|
artikel
|
| 2 |
Algorithms for approximate conditional inference
|
Kolassa, John E.
|
|
2003
|
13 |
2 |
p. 121-126
|
artikel
|
| 3 |
ANOVA for unbalanced data Use Type II instead of Type III sums of squares
|
Øyvind Langsrud
|
|
2003
|
13 |
2 |
p. 163-167
5 p.
|
artikel
|
| 4 |
ANOVA for unbalanced data: Use Type II instead of Type III sums of squares
|
Langsrud, Øyvind
|
|
2003
|
13 |
2 |
p. 163-167
|
artikel
|
| 5 |
Automatic choice of driving values in Monte Carlo likelihood approximation via posterior simulations
|
Anthony Y. C. Kuk
|
|
2003
|
13 |
2 |
p. 101-109
9 p.
|
artikel
|
| 6 |
Automatic choice of driving values in Monte Carlo likelihood approximation via posterior simulations
|
Kuk, Anthony Y. C.
|
|
2003
|
13 |
2 |
p. 101-109
|
artikel
|
| 7 |
Editorial Statistics and computing Having an impact
|
R.W. Oldford
|
|
2003
|
13 |
2 |
p. 87-89
3 p.
|
artikel
|
| 8 |
Editorial: Statistics and computing: Having an impact
|
Oldford, R.W.
|
|
2003
|
13 |
2 |
p. 87-89
|
artikel
|
| 9 |
Efficient computation of location depth contours by methods of computational geometry
|
Kim Miller
|
|
2003
|
13 |
2 |
p. 153-162
10 p.
|
artikel
|
| 10 |
Efficient computation of location depth contours by methods of computational geometry
|
Miller, Kim
|
|
2003
|
13 |
2 |
p. 153-162
|
artikel
|
| 11 |
Estimating likelihoods for spatio-temporal models using importance sampling
|
Glenn Marion
|
|
2003
|
13 |
2 |
p. 111-119
9 p.
|
artikel
|
| 12 |
Estimating likelihoods for spatio-temporal models using importance sampling
|
Marion, Glenn
|
|
2003
|
13 |
2 |
p. 111-119
|
artikel
|
| 13 |
Flexible spatio-temporal stationary variogram models
|
Rubén Fernández-Casal
|
|
2003
|
13 |
2 |
p. 127-136
10 p.
|
artikel
|
| 14 |
Flexible spatio-temporal stationary variogram models
|
Fernández-Casal, Rubén
|
|
2003
|
13 |
2 |
p. 127-136
|
artikel
|
| 15 |
Markov chain Monte Carlo exact inference for binomial and multinomial logistic regression models
|
Jonathan J. Forster
|
|
2003
|
13 |
2 |
p. 169-177
9 p.
|
artikel
|
| 16 |
Markov chain Monte Carlo exact inference for binomial and multinomial logistic regression models
|
Forster, Jonathan J.
|
|
2003
|
13 |
2 |
p. 169-177
|
artikel
|
| 17 |
Perfect simulation of positive Gaussian distributions
|
Anne Philippe
|
|
2003
|
13 |
2 |
p. 179-186
8 p.
|
artikel
|
| 18 |
Perfect simulation of positive Gaussian distributions
|
Philippe, Anne
|
|
2003
|
13 |
2 |
p. 179-186
|
artikel
|
| 19 |
Single-pass low-storage arbitrary quantile estimation for massive datasets
|
John C. Liechty
|
|
2003
|
13 |
2 |
p. 91-100
10 p.
|
artikel
|
| 20 |
Single-pass low-storage arbitrary quantile estimation for massive datasets
|
Liechty, John C.
|
|
2003
|
13 |
2 |
p. 91-100
|
artikel
|
| 21 |
The one-step-late PXEM algorithm
|
David A. Van Dyk
|
|
2003
|
13 |
2 |
p. 137-152
16 p.
|
artikel
|
| 22 |
The one-step-late PXEM algorithm
|
Van Dyk, David A.
|
|
2003
|
13 |
2 |
p. 137-152
|
artikel
|
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