One of the pillars of epidemiologic research on the long-term health effects of air pollution is to estimate the chronic exposures over space and time. In this study, we aimed to measure the intra-urban ambient carbon monoxide (CO) concentrations within Urmia city in Iran, and to build a model within the geographic information system (GIS) to estimate the annual and seasonal means anywhere with...

he main purpose of this research is to answer the question that "How neighborhood of Iran's trading partners will have an effect on Iran intra-industry trade? For this purpose, the impact of spatial neighborhood effects of 23 major trade partners on Iran’s intra-industry trade for the period of 1995-2014, has been investigated through Spatial Panel Econometric and Maximum Likelihood Estimator (...

Due to abundant spectral information contained in the hyperspectral images, they are suitable data for anomalous targets detection. The use of spatial features in addition to spectral ones can improve the anomaly detection performance. An anomaly detector, called nonparametric spectral-spatial detector (NSSD), is proposed in this work which utilizes the benefits of spatial features and local st...

Satellite imagery is being used increasingly in association with national forest inventories (NFIs) to produce maps and enhance estimates of forest attributes. We simulated several image spatial resolutions within sparsely and heavily forested study areas to assess resolution effects on estimates of forest land area, independent of other sensor characteristics. We spatially aggregated 30 m data...

Balanced acceptance sampling is a relatively new sampling scheme that has potential to improve the efficiency of spatial studies. There are two drawbacks of the design, it can have low entropy and some of the unbiased estimates can not be calculated. In this paper, such shortcomings have been addressed by integrating simple random sampling with balanced acceptance sampling. In a simulation stud...

Previous literature has shown that spatial anxiety relates to navigation abilities (Hund & Gill, 2014). How spatial anxiety effects the spatial-temporal perception of one’s environment is not well known. The present student aimed to examine how spatial anxiety related to the memory of distances and time to landmarks in the surrounding area. Participants completed a battery of navigation questio...

Capture-recapture studies are frequently used to monitor the status and trends of wildlife populations. Detection histories from individual animals are used to estimate probability of detection and abundance or density. The accuracy of abundance and density estimates depends on the ability to model factors affecting detection probability. Non-spatial capture-recapture models have recently evolv...

This is a statisticalmodel (the “multiple logistic model”) for pooling data from many variables into a single probability estimate that a person examined in a health screening system requires medical care. Because discrete variables are frequently studied in health screening programs, the required assumption of multivariate normality of the predictor variables related to many statistical techni...

In this paper, we prove uniform Morrey-Campanato type estimates for this equation, using a multiplier method borrowed from [9]. These bounds encode in the optimal way the decay: |u(x)| ∼ 1/|x| d−1 2 at infinity of the solution u. They imply weighted L-estimates for the solution u. We also prove a uniform L-estimate without weight for the trace of the solution on the interface, which states that...

3.1 Maximum likelihood estimates — in exponential families. Let (X, B) be a measurable space and {P θ , θ ∈ Θ} a measurable family of laws on (X, B), dominated by a σ-finite measure v. Let f (θ, x) be a jointly measurable version of the density (dP θ /dv)(x) by Theorem 1.3.3. For each x ∈ X, a maximum likelihood estimate (MLE) of θ is any θ ˆ = θ ˆ (x) such that f (ˆ θ, x) = sup{f (φ, x) : φ ∈ ...