Keywords
Related Publications
An Introduction to the Bootstrap
This article presents bootstrap methods for estimation, using simple arguments. Minitab macros for implementing these methods are given.
Robust Regression
This chapter contains sections titled: Why Robust Regression? M-Estimators and W-Estimators for Regression Computation Example: The Stack Loss Data Bounded-Influence Regression ...
Analyzing Quantitative Behavioral Observation Data.
Contents: Preface. Introduction. Behavior Sampling and Recording. Subject Sampling and Assignment. Time Sampling. Reliability: Conventional Methods. Reliability: The Generalizab...
Large sample confidence intervals for regression standardized risks, risk ratios, and risk differences
Several methods have been proposed for standardizing risks, risk ratios, and risk differences based on the results of logistic regression. These methods provide an alternative t...
Cluster-Sample Methods in Applied Econometrics
Inference methods that recognize the clustering of individual observations have been available for more than 25 years. Brent Moulton (1990) caught the attention of economists wh...
Publication Info
- Year
- 1941
- Type
- book
- Volume
- 51
- Issue
- 2
- Pages
- 172-172
- Citations
- 19156
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.1097/00010694-194102000-00013