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Bootstrapping

Bootstrapping. James G. Anderson, Ph.D. Purdue University. Introduction. Bootstrapping is a statistical resampling method. Bootstrapping can be used to obtain empirical standard error estimates of model parameters in addition to the regular standard errors provided by the AMOS output.

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CHAPTER 23

CHAPTER 23. BOOTSTRAPPING: LEARNING FROM THE SAMPLE. NONPARAMETRIC STATISTICAL INFERENCE. Assumptions we make about models, such as the Classical Linear Regression Model assumptions, may not be tenable in practice.

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410 views • 8 slides

CENTER FOR BIOLOGICAL SEQUENCE ANALYSIS

Bootstrapping Anders Gorm Pedersen Molecular Evolution Group Center for Biological Sequence Analysis Technical University of Denmark (DTU). CENTER FOR BIOLOGICAL SEQUENCE ANALYSIS. CENTER FOR BIOLOGICAL SEQUENCE ANALYSIS.

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74 views • 7 slides

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Bootstrapping

CHAPTER 23

CENTER FOR BIOLOGICAL SEQUENCE ANALYSIS