A spatially adjusted N-way ANOVA model

Article Abstract:

The general linear model (GLM) is applied in the adjustment for spatial autocorrelation using a spatial autoregressive formula. Approximation of the agricultural data derived from Puerto Rican sources is through latent Jacobian spatial correlation. Results indicate that the application of a two-way analysis of variance model is of particular application to a GLM with spatial autocorrelation.

Analysis, Analysis of variance, Autocorrelation (Statistics), Linear models (Statistics)

---

Spatial autoregressive error components in travel flow models

Article Abstract:

Regression errors in travel flow data is analyzed using a flexible framework that generalizes the error components. The error generating process models the spatial correlation with the error term breaks and down into single components related to origin zones, destination zones and network specificities. Error estimation is performed using a maximum likelihood approach.

Evaluation, Error analysis (Mathematics), Regression analysis, Spatial analysis (Statistics), Error analysis

---

Similar abstracts:

• Abstracts: When clerks meet customers: a test of variables related to emotional expressions on the job. Introducing survival analysis to organizational researchers: a selected application to turnover research
• Abstracts: A suggested test for spatial autocorrelation and/or heteroskedasticity and corresponding Monte Carlo results. Spatial autocorrelation: a new computationally simple test with an application to per capita county police expenditures

This website is not affiliated with document authors or copyright owners. This page is provided for informational purposes only. Unintentional errors are possible.