Leandro Pardo
Statistics and Probability · 2003–2016
A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 19 citations into it; #9,933 of 12,932 by trust here, #11,487 by citations
Whom Leandro Pardo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Leandro Pardo overall
- Hamed Rahimian
- Akshay Krishnamurthy
- Ayanendranath Basu
- Sanjay Mehrotra
- Henry Lam
- Patrick L. Combettes
- Chris J. Lloyd
- Michel Broniatowski
- Kirthevasan Kandasamy
- Rui Gao
Papers from Leandro Pardo's perspective
Ordered by how strongly the researchers Leandro Pardo trusts endorse each paper. Same corpus, a different order for every researcher.
- Residuals and Influence in Regression
- Robust Statistics: Theory and Methods
- Robust Statistics—The Approach Based on Influence Functions
- Robust Statistics: The Approach Based on Influence Functions
- Resistant fits for some commonly used logistic models with medical application.
- Robust estimation for independent non-homogeneous observations using density power divergence with applications to linear regression
- Generalized Wald-type tests based on minimum density power divergence estimators
- Testing statistical hypotheses based on the density power divergence (Annals of the Institute of Statistical Mathematics)
- Robust estimation for non-homogeneous data and the selection of the optimal tuning parameter: the density power divergence approach
- Choosing a robustness tuning parameter
Their papers
- Statistical Inference Based on Divergence Measures (2005) — 683 citations
- Generalized Wald-type tests based on minimum density power divergence estimators (2014) — 48 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
- Size and power considerations for testing loglinear models using divergence test statistics (2003) — 53 citations