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Replication data for: Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data
Nov 27, 2007
Walter R. Mebane; Jasjeet S. Sekhon, 2007, "Replication data for: Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data", https://doi.org/10.7910/DVN/RDXADE, Harvard Dataverse, V1, UNF:3:ZBIBvpMutYgYmsPXAqHj4A== [fileUNF]
We develop a robust estimator—the hyperbolic tangent (tanh) estimator—for over dispersed multinomial regression models of count data. The tanh estimator provides accurate estimates and reliable inferences even when the specified model is not good for as much as half of the data. Seriously ill-fitted counts—outliers—are identified as part of the est...
FLfull1.a.R
Nov 27, 2007 - Replication data for: Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data
Plain Text - 1.3 KB - MD5: f48e9c5abdd68eca460779fa56d685a2
3. Supplementary Program Files
Runs that use the results from FLfull1.R to try to find a better solution
FLfull1.a.RData
Nov 27, 2007 - Replication data for: Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data
Unknown - 107.3 KB - MD5: 2d3af98aa070b251873867d2e212dcb2
2. Data
The estimation results from FLfull1.a.R in complex R format
FLfull1.a.Rout
Nov 27, 2007 - Replication data for: Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data
Plain Text - 40.3 KB - MD5: b48ff9d1e7f6872e5073a80435ee8c43
3. Supplementary Program Files
R file
FLfull1.b.R
Nov 27, 2007 - Replication data for: Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data
Plain Text - 1.3 KB - MD5: e611b2e83011c163b1cbe2ef7744bb37
3. Supplementary Program Files
Runs that use the results from FLfull1.R to try to find a better solution
FLfull1.b.RData
Nov 27, 2007 - Replication data for: Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data
Unknown - 107.3 KB - MD5: 60e4ac66eb130f8f223471fd51d31a39
2. Data
The estimation results from FLfull1.b.R in complex R format
FLfull1.b.Rout
Nov 27, 2007 - Replication data for: Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data
Plain Text - 48.7 KB - MD5: 2b1f88d4b3d2348d3cf8d3ca9f609ca7
3. Supplementary Program Files
R file
FLfull1.R
Nov 27, 2007 - Replication data for: Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data
Plain Text - 1.2 KB - MD5: 5bc359fec948730222cfca799341a1d5
3. Supplementary Program Files
Estimates the model shown in Table 5 of the paper (Florida). The results using the multinomRob() program with the default arguments for rgenoud() are slightly better (in terms of the size of the LQD estimate of the residual dispersion) than the ones that appear in the paper.
FLfull1.RData
Nov 27, 2007 - Replication data for: Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data
Unknown - 215.1 KB - MD5: 433f54e11a5da11ab5329929ac32ea2e
2. Data
The estimation results from FLfull1.R in complex R format
FLfull1.Rout
Nov 27, 2007 - Replication data for: Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data
Plain Text - 47.5 KB - MD5: de5790094967a349fbe80d588bbc70b9
3. Supplementary Program Files
R file
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