نتایج جستجو برای: the following nested models arethe spatial autoregressive model sar with lagged dependent variable θλ0the spatial durbin model sdm with lagged dependent variable λ0the spatial autocorrelation sac model θτ0the spatial error model sem ρθτ0the generalized spatial panel random effects gspre model ρθτ0where the standard sar and sdm models are obtained by setting τ0 or when panel is static the spatial panel durbin model occupies an interesting position in spatial panel econometrics spatial durbin model allows simultaneously spatial interactions for dependent variable and explanatory variables in other words
تعداد نتایج: 26522297 فیلتر نتایج به سال:
Abstract: In many applications we have to encountered with bounded dependent variables. Beta regression model can be used to deal with these kinds of response variables. In this paper we aim to study spatially correlated responses in the unit interval. Initially we introduce spatial beta generalized linear mixed model in which the spatial correlation is captured through a random effect. T...
Due to the capacity of adjacent regions interactivity in economic field, industry development in a region not only increases the employment of that region but also it may increase the employment of adjacent regions by expanding related industries. So in this study after spatial effect test, the effect of tourism industry development on employment studied in the form of spatial dynamic panel dat...
abstract: postmethod is a newly developed pedagogy which as an alternative to method rejects the notion of good or bad methods and the concept of best method that can be generalized and appropriate for all contexts. instead, it treats each context as unique and one of a kind which cant be compared with other cases. this study is a postmethod-oriented one which investigates whether and how far t...
spatial patterns of soil fertility parameters, and other extrinsic factors need to be iden-tified to develop farming practices that match agricultural inputs with local crop needs. little is known about the spatial structure of yield and weed density across fields. in this study, geostatistics was used to describe and map spatial patterns of soil total nitrogen, available phosphorus, available ...
This paper aims to model total electricity demand (incremental) in order to estimate price and income elasticities using provincial data and the spatial panel data method. Electricity demand at the province level is influenced by climatic zones, which can be divided into temperate, cold and sub-tropical. This paper uses time series data for electricity demand in Iran’s 28 provinces, taking into...
the purpose of this thesis was to investigate how differently metacognitive, cognitive, and social/affective strategies affect l2 learners’ reading comprehension. to this end, the study employed a quasi-experimental design with a placement test as a proficiency test to find the homogeneity of groups. three classes were randomly selected as the experimental groups (n =90), and each class was tau...
introduction temporal and spatial change of meteorological and environmental variables is very important. these changes can be predicted by numerical prediction models over time and in different locations and can be provided as spatial zoning maps with interpolation methods such as geostatistics (16, 6). but these maps are comparable to each other as visual, qualitative and univariate for a lim...
among the low–dimensional allotropes of carbon, nanotubes and graphene have attracted very much attention from nano–science and nanotechnology specialists. they have been proposed as building blocks in nanometer device engineering. however, these structures are not defect–free. in this thesis, we focused on defective carbon nanotubes and graphene, and studied the effect of couple of very common...
This paper depicts the frameworks of spatial regression methods which cover interaction effects and apply it to analyze distribution poverty area for five districts in West Sulawesi. These consider queen contiguity-based weights create spatially lagged variables Spatial Lag Model, Error Model (SEM), Durbin Ordinary Least Square (OLS) Model. The percentage represents observed dependent variable ...
abstract previous studies on willingness to communicate (wtc) have shown the influence of many individual or situational factors on students’ tendency to engage in classroom communication, in which wtc has been viewed either at the trait-level or situational level. however, due to the complexity of the notion of willingness to communicate, the present study suggests that these two strands are ...
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