Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

11 to 20 of 56 Results
FLsum.R
Nov 27, 2007 - Replication data for: Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data
Plain Text - 377 B - MD5: b84b05d8c42c3c7213595a76a424bb64
3. Supplementary Program Files
Prints a summary of the results from FLfull1.R with the county names included as labels
FLsum.Rout
Nov 27, 2007 - Replication data for: Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data
Plain Text - 13.4 KB - MD5: 4168b0a979e6f272ed55c726251c0b06
3. Supplementary Program Files
R file
jj2.R
Nov 27, 2007 - Replication data for: Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data
Plain Text - 2.2 KB - MD5: 0ad41a6f61c2dd4d543dcecc2b90dbb1
3. Supplementary Program Files
Uses equality constraints to reformulate the Poland data model to allow starting values to be obtained from the multinomial-t model. Fixing the multinomial-t DF parameter is necessary to get estimates from that model, which in any case appear to be inferior to the simple multinomial model estimates
jj2.RData
Nov 27, 2007 - Replication data for: Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data
Unknown - 427.3 KB - MD5: 52c92b0ee327f08e5ea05ecafea3422c
2. Data
The estimation results from jj2.R in complex R format
jj2.Rout
Nov 27, 2007 - Replication data for: Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data
Plain Text - 127.1 KB - MD5: 6e41c8e5f12091ebe7db6ca418bd3e93
3. Supplementary Program Files
R file
jj.a.R
Nov 27, 2007 - Replication data for: Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data
Plain Text - 2.1 KB - MD5: 1b92a930fa78f95760ddd8685716c68d
3. Supplementary Program Files
Runs that use the results from jj.R to try to find a better solution
jj.a.RData
Nov 27, 2007 - Replication data for: Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data
Unknown - 193.4 KB - MD5: fbae4a331c3d84a067dcbc136c4dbfe2
2. Data
The estimation results from jj.a.R in complex R format
jj.a.Rout
Nov 27, 2007 - Replication data for: Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data
Plain Text - 76.7 KB - MD5: 237e56c7e3ccfe204e817f4de390878c
3. Supplementary Program Files
R file
jj.bb.R
Nov 27, 2007 - Replication data for: Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data
Plain Text - 2.1 KB - MD5: 75c40bb784191e8ca6087ed594676734
3. Supplementary Program Files
Runs that use the results from jj.R to try to find a better solution
jj.bb.RData
Nov 27, 2007 - Replication data for: Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data
Unknown - 193.4 KB - MD5: c4bbc6542d43424a3e202a3182fffbb2
2. Data
The estimation results from jj.bb.R in complex R format
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.