Statistical research memoirs
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- Type
- article
- Published
- 1936-12-01
- Cited by
- 56
- References
- 0
- OpenAlex
- https://openalex.org/W2127097403
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:122412901
Keywords
Memoir, Statistics, Mathematics, History, Art history
References
No references recorded for this paper.
Cited by
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- Predictors of Response to an Attention Modification Program in Generalized Social Phobia
- Rank Transformations and the Power of the Student T Test and Welch T' Test for Non-Normal Populations with Unequal Variances
- Point estimates and confidence intervals in measures of association.
- Restraint, anticipated consumption, and overeating.
- On Neyman's smooth test of goodness of fit and its power with respect to a particular system of alternatives
- Does Vocational Overshadowing Even Exist? A Test of the Robustness of the Vocational Overshadowing Bias
- Positively Biased Appraisals in Everyday Life: When Do They Benefit Mental Health and When Do They Harm It?
- Sign regularity of a generalized Cauchy kernel with applications
- From Positive Orientation to Job performance: The Role of Work Engagement and Self-efficacy Beliefs
- An extension of Welch's approximate t-solution to comparative bioequivalence trials
- Distressing Relationships, Anger, and Stress Amplification in a Sample of Young Adult African Americans
- Estimation of Some Variance Components of Bovine Semen Criteria and Their Use in the Design of Experiments
- Linear restrictions, rank reduction, and biased estimation in linear regression
- Malleability of Attentional Bias for Positive Emotional Information and Anxiety Vulnerability
- Differential Susceptibility and the Early Development of Aggression: Interactive Effects of Respiratory Sinus Arrhythmia and Environmental Quality
- HAAVELMO’S CONTRIBUTIONS TO SIMULTANEOUS-EQUATIONS ESTIMATION
- Prediction-interval procedures and (fixed-effects) confidence-interval procedures for mixed linear models
- Confidence intervals for the cross-validated multiple correlation in predictive regression models
- Testing for substantive significance in applied research by specifying nonzero effect null hypotheses.
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