statistical time series analysis
Statistical Time Series Analysis of Emission and Deposition of SO2 and NOx in Northeastern North America
... Trend analysis and forecasting of time series data on air pollutants is important to design effective measures to minimize damages to ecosystems and human ...emissions. Analysis was undertaken ...
20
Methods and Approaches for Characterizing Learning Related Changes Observed in functional MRI Data — A Review
... of analysis that allow the characterization of learning related changes in fMRI ...imaging analysis using the Statistical Parametric Map (SPM) approach averages out temporal changes and presents ...
11
A Comparative study of Time Series, Empirical Orthogonal Transformation and Descriptive Statistical Analysis on Meteorological Parameters over Ogoja and Maiduguri
... study, time series statistical analysis was carried out on the monthly average daily meteorological parameters of global solar radiation, sunshine hours, wind speed, mean temperature, ...
14
Statistical modelling of agrometeorological time series by exponential smoothing
... Pirttioja N., Carter T.R., Fronzek S., Bindi M., Hoffmann H., Palosuo T., Ruiz-Ramos M., Tao F., Trnka M., Acutis M., Asseng S., Baranowski P., Basso B., Bodin P., Buis S., Cammarano D., Deligios P., Destain M.F., Dumont ...
9
Improved Statistical Methods for Time-series and Lifetime Data
... In the second part, statistical analysis of system lifetime data with known system struc- ture is considered. System lifetime data are commonly encountered in industrial or en- gineering settings where n ...
119
Statistical analysis of some financial time series models
... Figure 1 has six panels, three pairs - with each pair representing data points superimposed on two regions. The data points are skewness and kurtosis daily estimates extracted from S & P 500 index options. These ...
111
A Study on Performance Analysis of Different Prediction Techniques in Prediction of Time Series Data
... performance analysis of different statistical methods for time series prediction, they are linear trend, logarithmic trend, simple moving average, exponential moving average, different ...
5
Trend analysis of extreme precipitation in the Northwestern Highlands of Ethiopia with a case study of Debre Markos
... Existing analysis of this region has been descrip- tive, without taking advantage of the advances in extreme value ...the statistical methodology on extremes, this paper presents an analysis based on ...
8
Volume 08 Issue 01 (2019) Jan.-Feb. 2019
... Guangdong Statistical Yearbook and SPSS software, this paper makes a simple modeling and time series analysis of trade data, and finds that there is a close relationship between Guangdong and ...
14
time series analysis.
... The incidence of IMD was based on the number of laboratory-con fi rmed cases per year per 100 000 chil- dren in the population prior to their fi fth birthday. Laboratory con fi rmation was based on a positive bacter- ial ...
11
Pattern of government spending in Nigeria: a time series analysis
... a time series analysis to compare the nature of government spending between the Pre-Democratic era (between 1984 to 1998) and Democratic era (between 1999 to 2013), with a comprehensive approach and ...
7
A statistical analysis of electric self-potential time series associated to two 1993 earthquakes in Mexico
... SES time interval, an electromagnetic perturbation coming from a far source si- multaneously affects both ...SES analysis as follows: first, we obtain the wavelet transform of the pre-processed ...
8
Empirical Analysis of Time Series
... abstract statistical inferences, with extracted data/parameter values from nonlinear fit ...this time there is no strict need to request extreme precision from the techniques, because the intuition has ...
20
A firefly optimized feature selection in multiple time series clinical data with merging statistical measures and wavelet frequency spectrum for hcc recurrence prediction
... different time intervals. For clinical data analysis, multiple measurement data plays significant role than the single measurement ...multiple time series data were extracted from different ...
5
University of Guelph College of Social and Applied Human Sciences Department of Sociology and Anthropology SOC 6660: Advanced Regression Methods
... advanced statistical methods that are commonly used in policy ...common statistical methods available for longitudinal data ...over time), including event history models, time series ...
7
Modelling the Stock Price Volatility Using Asymmetry Garch and Ann-Asymmetry Garch Models
... financial time series analysis and ...standard statistical models have been used in the field of financial time series analysis and prediction, but artificial neural ...
7
Time Series Analysis
... as time series ...over time – this type of data is known as time series ...spaced time intervals ...over time induces a correlation between measurements because ...
30
An Econometric Time Series GDP Model Analysis: Statistical Evidences and Investigations
... the analysis for GDP statistics of the ...a time series that is sta- tionery ( ...through time) and it is recommended that there are at least 50 observa- tions in the input data (the ...
15
Study protocol for the PHANTOM study: prehospital assessment of noninvasive tissue oximetry monitoring
... Separate statistical analysis relating to time spent with cerebral regional oxygen saturation values < 45% and time series analysis will be performed to demonstrate ...
8