Eckel, "Analysing time series data," in Proc. of the 13th International Confer- ence on Auditory Display, 2007.Christopher Frauenberger, Alberto deCampo, and Gerhard Eckel, "Analysing time series data," in Proc. of the Interna- tional Conference on Auditory Display (ICAD), 2007....
measuring a level of said target, with said optical sensor to provide a time series of target levels; determining a first derivative of said target level time series with respect to time and outputting a target detection signal responsive to a profile of said first derivative time series data....
KB Dorsey,J Herrin,HM Krumholz - 《Pediatric Exercise Science》 被引量: 9发表: 2008年 R package "HMMpa" Analysing time-series (i.e. accelerometer data) using hidden Markov models. https://cran.r-project.org/web/packages/HMMpa/index.html V Witowski,R Foraita 被引量: 0发表: 2014年研...
In the application, we then manage to confirm an information transfer on a time scale of one minute between the two financial time series. The different economic impact of the two indices is also recovered from the data. Numerical results are then interpreted on one hand as capability of one...
Importing and Exporting Data in R Language Thesecular trendscan also be measured by the method of semi averages. The steps are: Divide the time series data into two equal portions. If observations are odd then either omit the middle value or include the middle value in each half. ...
We illustrate the methodology using data from two ITS studies: an evaluation of a hospital-based infection control programme, and an evaluation of the impact of rotavirus vaccine introduction. 2 Interrupted time series model Consider a series of nn observations on disease incidence, yt(t=0,…,n...
We present a novel, robust and powerful framework to analyze time course 'omics' data that consists of three stages: quality assessment and filtering, profile modelling, and analysis. The first step consists of removing molecules for which expression or abundance is highly variable over time. The...
which shows there are coherent structures of some sizes in some time.By this method,more than two hundred data,which are collected by an infrared gas analyzer(LiCor7500) for water vapor and carbon dioxide fluctuations at two locations(overlaying) the different surfaces(water and land) during 16...
Data Warehouses provide sophisticated tools for analyzing complex data online, in particular by aggregating data along dimensions spanned by master data. Changes to these master data is a frequent threat to the correctness of OLAP results, in particular
The empirical effects of different measures of labour standards on the export performance of the United States are analysed using annual data for the period 1950–1998, applying a time series approach based on the structural change literature. Hence, a model with endogenous breaks is estimated ...