Multivariate Analysis, Design of Experiments, and Survey Sampling

By Subir Ghosh, J. Srivastava. 2000

98 citations recorded by the source corpus.

Subfields: Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/7018c9e98ab907ea98ec2c3fb283b9c6fa7be397

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In Management Science and Operations Research

1. Bodhisattva Sen
2. Marc Hallin
3. Min Yang
4. Bin Zhang
5. Shuguang Huang
6. Nabarun Deb

Citations in the corpus

• OPTIMAL DESIGNS FOR GENERALIZED LINEAR MODELS WITH MULTIPLE DESIGN VARIABLES (2011, methodology): “Other ways are available to address this issue, for example, by using a Bayesian approach (Agin and Chaloner (1999)).”
• SEMIPARAMETRICALLY EFFICIENT RANK-BASED INFERENCE FOR SHAPE I. OPTIMAL RANK-BASED TESTS FOR SPHERICITY (2006, background): “Despite their obvious theoretical value, such tests thus have limited practical value.”
• Hamiltonian Monte Carlo sampling in Bayesian empirical likelihood computation (2017, unknown): “We refer to Sexton and Weingarten (1992), Neal (1994), Girolami and Calderhead (2011) and Neal (2011) for a general review of HMC sampling.”
• Multivariate Rank-Based Distribution-Free Nonparametric Testing Using Measure Transportation (2019, background): “…existing extensions of concepts like ranks (such as component-wise ranks, e.g., Bickel 1965; Puri and Sen 1966; spatial ranks, e.g., Chaudhuri 1996; Marden 1999; depth-based ranks, e.g., Liu and Singh 1993; Zuo and Serfling 2000; Mahalanobis ranks, e.g., Hallin and Paindaveine 2004, 2006) and…”