background: using spatial analysis tools to determine the spatial patterns of china province-level perinatal mortality and using spatial econometric model to examine the impacts of health care resources and different socio-economic factors on perinatal mortality. methods: the global moran’s i index is used to examine whether the spatial autocorrelation exists in selected regions and moran’s i s...

It is proved that innovations in the field of energy are a priority for sustainable development at all levels economy. The purpose this work to build cognitive model enterprise based on saving. Cognitive-linguistic analysis has been used as main method forming system substantiation managerial decisions. choice management decisions industrial enterprises basis saving, which determined by buildin...

Within housing literature, the presence of spatial autocorrelation (S.A.) in prices is typically examined horizontally a two-dimensional setting. However, context apartment buildings, there also vertical component S.A. for units located on different floor levels. This paper therefore explores determinants both horizontal and within residential property prices. First, we posit that consequence p...

This simulation study examined the performance of the curve-of-factors model (COFM) when autocorrelation and growth processes were present in the first-level factor structure. In addition to the standard curve-of factors growth model, two new models were examined: one COFM that included a first-order autoregressive autocorrelation parameter, and a second model that included first-order autoregr...

A quasiclassical method which enables evaluation of complex autocorrelation function from classical trajectory calculations is proposed. The method is applied for two highly excited nonlinearly coupled harmonic oscillators in regimes prevailed either by regular or chaotic classical motions. A good agreement of classical and quantum autocorrelation functions is found within short (Ehrnfest) time...

Both intra- and interspecific genomic comparisons have revealed local similarities in the level and frequency of mutational variation, as well as in patterns of gene expression. This autocorrelation between measurements leads to violations of assumptions of independence in many statistical methods, resulting in misleading and incorrect inferences. Here I show that autocorrelation can be due to ...