Why is isotropy so prevalent in spatial statistics?

Why Is Isotropy so Prevalent in Spatial Statistics?

There are many reasons for the popular use of the isotropic or geometrically anisotropic covariance function and variogram in spatial statistics. A less known reason demonstrated in this paper is that an isotropic or geometrically anisotropic model would be the only choice in certain circumstances, for instance, when the underlying random field is smooth enough.

O10: Why Preschool Education Programs Is So Important

Neurological development is largely a result of the learning that takes place starting at birth and during the earliest years of life. Child Care and Preschool Education Programs are key to predicting ultimate success in school and life. Children who attend preschool or other early education programs have enhanced cognitive, verbal, and social development (which is maintained into the first few...

Why is spatial stereoresolution so low?

Spatial stereoresolution (the finest detectable modulation of binocular disparity) is much poorer than luminance resolution (finest detectable luminance variation). In a series of psychophysical experiments, we examined four factors that could cause low stereoresolution: (1) the sampling properties of the stimulus, (2) the disparity gradient limit, (3) low-pass spatial filtering by mechanisms e...

Why Do Students Find Statistics So Difficult?

The Latin American exception: why is childhood asthma so prevalent in Brazil?

Ten years ago most researchers in Western countries “knew” what caused asthma, and we knew how to prevent it.1 Asthma was an atopic disease caused by allergen exposure. The fundamental etiological mechanism was that allergen exposure, particularly in infancy, produced atopic sensitization and continued exposure resulted in asthma through the development of eosinophilic airway inflammation, bron...