BAYSIAN INFERENCE FOR ORDERED RESPONSE DATA WITH A DYNAMIC SPATIAL-ORDERED PROBIT MODEL
نویسندگان
چکیده
منابع مشابه
Baysian Inference for Ordered Response Data with a Dynamic Spatial Ordered Probit Model
Many databases involve ordered discrete responses in a temporal and spatial context, including, for example, land development intensity levels, vehicle ownership, and pavement conditions. An appreciation of such behaviors requires rigorous statistical methods, recognizing spatial effects and dynamic processes. This study develops a dynamic spatial ordered probit (DSOP) model in order to capture...
متن کاملBaysian Inference for Ordered Response Data with a Dynamic
Many databases involve ordered discrete responses in a temporal and spatial context, including, for example, land development intensity levels, vehicle ownership, and pavement conditions. An appreciation of such behaviors requires rigorous statistical methods, recognizing spatial effects and dynamic processes. This study develops a dynamic spatial ordered probit (DSOP) model in order to capture...
متن کاملThe Dynamic Spatial Ordered Probit Model: Methods for Capturing Patterns of Spatial and Temporal Autocorrelation in Ordered Response Data, Using Bayesian Estimation
Many databases involve ordered discrete responses in a temporal and spatial context, including, for example, land development intensity levels, vehicle ownership, and pavement conditions. An appreciation of such behaviors requires rigorous statistical methods, recognizing spatial effects and dynamic processes. This study develops a dynamic spatial ordered probit (DSOP) model in order to capture...
متن کاملApplication of the Dynamic Spatial Ordered Probit Model : Patterns of Ozone Concentration in Austin ,
While a wide variety of transportation data sets involve discrete values scattered across space and time, few techniques presently exist to properly analyze such data. A new dynamic spatial ordered probit model (DSOP) is described here, and its use is demonstrated for a case of ozone concentration categories. Using outputs of photochemical models for the Austin, Texas region over a 24-hour peri...
متن کاملApplication of the Dynamic Spatial Ordered Probit Model: Patterns of Land Development Change in Austin, Texas
The evolution of land development in urban area has been of great interest to policy makers and planners. Due to the complexity of the land development process, no existing studies is considered sophisticated enough. This research uses Dynamic Spatial Ordered Probit (DSOP) model to analyze Austin’s land use intensity patterns over a 4-point panel. The observational units are 300m×300m grid cell...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Regional Science
سال: 2009
ISSN: 0022-4146,1467-9787
DOI: 10.1111/j.1467-9787.2009.00622.x