• 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
Quantile estimators
Introduction

Questions of what is the level, within a population, below which a random value from that population can be attained with a given probability are very common. Such levels are known as distribution quantiles or percentiles and they are very frequently used in several scientific fields such as risk management, economics, biology, medicine, etc. Assuming that X is a random variable with cumulative density function (CDF) F, the pth quantile of that distribution is the Qp that satisfies

The quantile estimators are formulas that try to estimate the quantiles of a distribution using a sample of the parent distribution. Let X be a random variable and X1, X2, …, Xn a random sample of size n from X if the parent distribution is ...

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