Data-transformation approach to lifetimes data analysis: An overview
| Autor: | Govind S. Mudholkar, Knobby O. Asubonteng |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Statistics and Probability
Scope (project management) Management science Applied Mathematics Data transformation (statistics) Context (language use) Subject (documents) Sampling distribution Goodness of fit Econometrics Applied research Sociology Statistics Probability and Uncertainty Reliability (statistics) |
| Zdroj: | Journal of Statistical Planning and Inference. 140:2904-2917 |
| ISSN: | 0378-3758 |
| DOI: | 10.1016/j.jspi.2010.03.014 |
| Popis: | This article consists of a review and some remarks on the scope, common models, methods, their limitations and implications for the analysis of lifetime data. Also a new approach based upon data-transformations analogous to that of Box and Cox (1964) is introduced. The basic methods and theory of the subject are most familiarly and commonly encountered by the statistical community in the context of problems in reliability studies and survival analysis. However, they are also useful in areas of statistical applications such as goodness-of-fit and approximations for sampling distributions and are applicable in such diverse fields of applied research as economics, finance, sociology, meteorology and hydrology. The discussion includes examples from the mainstream statistical, social sciences and business literature. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect