Ayanendranath Basu

Statistics and Probability · 2001–2016

A researcher in the Science corpus: 8 papers; trusts 10 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 22 citations into it; #3,497 of 12,932 by trust here, #4,253 by citations
• Management Science and Operations Research — 5 citations into it

Whom Ayanendranath Basu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Abhik Ghosh
2. Janette Warwick
3. M. Chris Jones
4. Daryl Pregibon
5. Christopher Jennison
6. Leandro Pardo
7. Peter J. Rousseeuw
8. Abhijit Mandal
9. Eva Cantoni
10. Nirian Martín

Who trusts Ayanendranath Basu overall

1. Abhik Ghosh
2. Abhijit Mandal
3. Peter Filzmoser
4. Nirian Martín
5. Leandro Pardo
6. Klaus Nordhausen

Papers from Ayanendranath Basu's perspective

Ordered by how strongly the researchers Ayanendranath Basu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Robust Statistics—The Approach Based on Influence Functions
2. Resistant fits for some commonly used logistic models with medical application.
3. Robust Statistics: Theory and Methods
4. Residuals and Influence in Regression
5. Robust Statistics: The Approach Based on Influence Functions
6. Robust estimation for independent non-homogeneous observations using density power divergence with applications to linear regression
7. Generalized Wald-type tests based on minimum density power divergence estimators
8. Testing statistical hypotheses based on the density power divergence (Annals of the Institute of Statistical Mathematics)
9. Robust estimation for non-homogeneous data and the selection of the optimal tuning parameter: the density power divergence approach
10. Choosing a robustness tuning parameter

Their papers

• A Comparison of related density-based minimum divergence estimators (2001) — 146 citations
• Statistical Inference: The Minimum Distance Approach (2011) — 368 citations
• Robust estimation for non-homogeneous data and the selection of the optimal tuning parameter: the density power divergence approach (2015) — 58 citations
• Generalized Wald-type tests based on minimum density power divergence estimators (2014) — 48 citations
• Robust estimation for independent non-homogeneous observations using density power divergence with applications to linear regression (2013) — 151 citations
• Testing statistical hypotheses based on the density power divergence (2012) — 47 citations
• A Wald-type test statistic for testing linear hypothesis in logistic regression models based on minimum density power divergence estimator (2016) — 52 citations
• Robust estimation in generalized linear models: the density power divergence approach (2014) — 70 citations