Data decompositionTime series analysisData streamsModeling and predictionTemporal data produced by industrial, human, and natural phenomena typically contain deterministic and stochastic influences, being the first ideally modelled using Dynamical Systems while the second is appropriately addressed using ...
Coconut (Cocos nucifera) is extensively cultivated and used as a staple ingredient in Indian cuisines, especially in the South Indian cuisines. In India, other than edible purposes, coconut is widely used in religious practices and, it is considered as s
The absolute maximum (TXx) of a 20-year daily maximum temperature time series can be expressed as follows: (1)where denotes the 20-year climatological mean maximum temperature and is the temporal anomaly on the day of the absolute extreme TXx. Defined in this...
There is a significant socioeconomic gradient favouring the better-off associated with leisure-time physical inactivity amongst Spanish children, which is more pronounced in the case of girls. Income shows the highest contribution to total inequality, followed by education of the head of the household...
In order to compare results across European Union (EU) countries, in 2016 the European Fuel Poverty Observatory (EPOV), [8], proposed a series of general variables to determine energy poverty following two different lines. The two lines proposed by EPOV to measure energy poverty were the perc...
The data is taken from the R package astsa Stoffer [4], which supplements Shumway and Stoffer [3]. The author has kindly allowed its use in this example. Plot a time series from each group for comparison. Get load EarthQuakeExplosionData subplot(2,1,1) plot(EarthQuakeExplosionData(:,...
Here we introduce an unsupervised statistical technique, Poisson functional PCA (Pf-PCA), to identify the structure of of latent tuning fluctuations directly from neural spiking data. Importantly, we apply this method to address tuning variability in a classic neural system that has long been charact...
Once you have read the time series data into R, the next step is to store the data in a time series object in R, so that you can use R’s many functions for analysing time series data. To store the data in a time series object, we use thets()function in R. ...
Since these genome sequences have not been sequenced completely yet, the final values might change slightly in future analyses based on complete genome sequences. An estimate of the overall similarity between F. rivuli and the other strains in this data set was generated with the Genome-to-...
Accordingly, it can be deduced from the data in Table 7 that under the conditions of the tests, the prior art copper and iron catalysts were significantly inferior to the invention catalyst system. <- Previous Patent (Non-aqueous liquid d...) | Next Patent (Granular fill materi...) -> ...