an introduction to the bootstrap represents a topic that has garnered significant attention and interest. An Introduction to the Bootstrap | Bradley Efron, R.J. The bootstrap is a computer-based method of statistical inference that answers statistical questions without formulas and gives a direct appreciation of variance, bias, coverage, and other probabilistic phenomena. An Introduction to the Bootstrap (Chapman & Hall/CRC Monographs on ....
In this context, the approach in An Introduction to the Bootstrap avoids that wall. It arms scientists and engineers, as well as statisticians, with the computational techniques they need to analyze and understand complicated data sets. [PDF] An Introduction to the Bootstrap | Semantic Scholar.
From another angle, this book takes an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s, with speculation on the future direction of statistics and data science. An introduction to the bootstrap - INSPIRE. 6.1 Introduction 45 6.2 The bootstrap estimate of standard error 45 6.3 Example: the correlation coefficient 49 6.4 The number of bootstrap replications B 50 6.5 The parametric bootstrap 53 6.6 Bibliographic notes 56 6.7 Problems 57 7 Bootstrap standard errors: some examples 60
Another key aspect involves, the bootstrap is a resampling technique introduced by Bradley Efron in 1979. From another angle, it allows statisticians to estimate the sampling distribution of an estimator by resampling with replacement from the original data. Book available to patrons with print disabilities. Similarly, no suitable files to display here. This book presents an overview of the bootstrap and related methods for assessing statistical accuracy, concentrating on the ideas rather than their mathematical justification.
An Introduction to the Bootstrap - 1st Edition - Routledge.
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