• 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.

Mixture Models
Mixture models

Mixture models involving a discrete mixture of specified (kernel) distributions allow the flexible fitting of observations for a response variable measured across a number of units. These measurements could be more dispersed than expected for a generalized linear model, or their marginal distribution may have a complex shape with multiple modes, suggesting a missing categorical explanatory variable, or considerable skewness reflecting a small number of extreme units. Essentially, the manner in which the kernel distribution is mixed is estimated in the form of parameters of an unknown discrete mixing distribution, along with estimates of the parameters of the kernel distributions, such as their means.

Key Features

As an illustration of mixture models with a wide range of applicability, models for count data will be considered. ...

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