Basic Concepts of Probability and Statistics

By J. Hodges, Erich Leo Lehmann. 1964

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Citations in the corpus

The Econometrics of Randomized Experiments (2016, neutral): “Rosenbaum (1992) discusses estimators for treatment effects based on rank statistics, as opposed to simply doing tests, following Hodges and Lehmann (1970) and Doksum (1974).”
Statistical Models for Causation (2006, background): “It has been rediscovered many times since: see, for instance, Hodges and Lehmann (1964, section 9.4) .”
Identification and Inference for Econometric Models: On Specifying Graphical Models for Causation and the Identification Problem (2005, unknown): “It has been rediscovered many times since; see, for instance, Hodges and Lehmann (1964, section 9.4) .”
Computer Evaluation of Indexing and Text Processing (1968, background): “tisties is not taken into account, but only the sign of the differences (that is, an indication of whether method A provides a larger test result, than B, or vice versa) [14].”
Metabolic labeling of RNA uncovers principles of RNA production and degradation dynamics in mammalian cells (2011, methodology): “We estimated the variance from data points measured in replicates and used the standard least-square error and associated chi-square distribution with n degrees of freedo”
Bridging Finite and Super Population Causal Inference (2017, background): “Furthermore, this difference term is unidentifiable and is often assumed away under a constant causal effect model (Neyman 1923, 1935; Hodges and Lehmann 1964; Rubin 1990; Reichardt and Gollob 1999; Freedman et al. 2007), or by appeals to the final estimators being “conservative.””