• Summary
  • Contents
  • Subject index

A must-have reference resource for qualitative management researchers, this dictionary contains over 90 entries covering the fundamentals of qualitative methodologies; covering both analysis and implementation. Each entry gives an introduction to the topic, lists the key relevant features, gives a worked example, a concise summary and a selection of further reading suggestions. It is suitable for researchers and academics who need a handy and quick point of reference.

Quantile Estimators – Bootstrap Confidence Intervals
Quantile estimators – bootstrap confidence intervals
Introduction

The pth quantile of a distribution is the number below which a random value following that distribution can be attained with a probability p. Assuming that X is a random variable with cumulative density function (CDF) D, the pth quantile of that distribution is the Qp that satisfies

Quantiles are estimated using quantile estimators, which are formulas that utilize a sample of the parent distribution. If the parent distribution is normal and the sample size is n, then the well-known eqn (2) is used for estimating the pth quantile:

where m is the sample mean, s is the sample standard deviation and zp is the pth quantile of N (0,1).

When no assumptions for D are posted, nonparametric ...

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