A Primer on Statistical Analysis of Dynamical Systems in Historical Social Sciences (with a Particular Emphasis on Secular Cycles)
Datos Bibliográficos
| ID | 3083180 |
|---|---|
| Autores | Peter Turchin (0000-0002-1292-8100, autor de correspondencia) |
| Año | 2005 |
| Volumen | 1 |
| Número | 1 |
| Fecha de publicación | 2005-09-18 |
| Peer Reviewed | Sí |
| Open Access | No |
| Tipo | ARTICLE |
| Revista | Structure and Dynamics eJournal of Anthropological and Related Sciences (JOURNAL) |
| Identificadores de la revista | ISSN: 1554-3374 • E-ISSN: 1554-3374 |
| Editorial | California Digital Library (CDL) (PUBLISHER) |
| DOI | 10.5070/sd911003265 |
| OpenAlex | W90847800 |
| Idioma | EN |
| Citas recibidas | 1 |
| Referencias citadas | 5 |
This primer explicates the conceptual foundations of the statistical approach to detecting dynamical feedbacks. It is assumed that we have time-series data on several aspects of the studied system. The basic idea of the approach is to regress discrete rates of change of measured variables on variables themselves. I discuss several issues involved in the analysis, such as how to select the appropriate time step, or the delay parameter. The goal of the analysis is to determine whether a particular predictor variable, or set of variables, has a statistically detectable effect on the response. This is accomplished by cross-validation
Biology · Data set · Dynamical systems theory · Econometrics · Emphasis (telecommunications · Physics · Series (stratigraphy · Set (abstract data type · Statistical analysis · Statistical physics · Statistics · Time series · Variable (mathematics · Variables · Computer Science · Diverse Scientific and Engineering Research · Mathematics
| Obras citantes distintas | 1 |
|---|---|
| Citas por año | 0,07 |
| Intervalo de citas | 2012 - 2012 (1) |
| Velocidad de citación | historical |
| Altamente citado | No |
| Tipos de cita | Neutras: 1 |