Do you have a Time Series research problem?
We are at your service for Time Series Analysis
Get the full complement of our expert statisticians in resolving your time series analysis research problems.
Cutting-edge and insightful analyses
Time Series Data preliminaries
We provide the theoretical justification for the choice of time series analysis of your data. This is based on the intrinsic characteristics of your data and your research goals.
We will produce basic descriptive and graphical summaries of your time series data. These include the time plot, autocorrelation function (acf), partial autocorrelation function
Extensive Analysis
Box-Jenkins Methodology approach
All the steps in the Box-Jenkins method (Model Identification, Model Selection, Parameter Estimation, Model Diagnostics, and Forecasting) will be applied to the time series data.
Robust Modelling Choices
Autoregressive (AR), Moving Average (MA), ARIMA, VAR, ARCH, GARCH, and other relevant models will be explored using your data.
Extensive Analysis
Box-Jenkins Methodology approach
All the steps in the Box-Jenkins method (Model Identification, Model Selection, Parameter Estimation, Model Diagnostics, and Forecasting) will be applied to the time series data.
Robust Modelling Choices
Autoregressive (AR), Moving Average (MA), ARIMA, VAR, ARCH, GARCH, and other relevant models will be explored using your data.
Methods for Analysis of Time Series Data
The method of analysis could be frequency-domain (wave let analysis, spectral analysis) or time-domain (autocorrelation, cross correlation, scaled correlation, etc).
Time Series Analysis Tests
The full complement of time series analysis tests will be deployed as appropriate in yourresearc. Some of the prominent tests include stationarity test, unit root test, AugmentedDickey-Fuller (ADF) test, etc..
We can also provide direction in other aspects of Time Series Analysis including Granger Causality, Granger Co-integration and Johansen Co-integration for multiple time series.
Methods for Analysis of Time Series Data
The method of analysis could be frequency-domain (wave let analysis, spectral analysis) or time-domain (autocorrelation, cross correlation, scaled correlation, etc).
Time Series Analysis Tests
The full complement of time series analysis tests will be deployed as appropriate in yourresearc. Some of the prominent tests include stationarity test, unit root test, AugmentedDickey-Fuller (ADF) test, etc..
We can also provide direction in other aspects of Time Series Analysis including Granger Causality, Granger Co-integration and Johansen Co-integration for multiple time series.
Diverse Applications
Model Diagnostics and Forecasting
The array of relevant diagnostic tests will be applied on your data and forecasts (with confidence bounds) also presented.
Diverse Applications
Model Diagnostics and Forecasting
The array of relevant diagnostic tests will be applied on your data and forecasts (with confidence bounds) also presented.
Summarizing the data
Descriptive statistics and graphical representation
We will provide the requisite descriptive summaries to illuminate your research. A combination of descriptive and graphs will be used to furthers how case your research.
Summarizing the data
Descriptive statistics and graphical representation
We will provide the requisite descriptive summaries to illuminate your research. A combination of descriptive and graphs will be used to furthers how case your research.
Statistical Packages for Time Series Analysis
Goal-oriented analysis
Some of the software packages at our disposal for time series analysis are IBM SPSS, R, SAS, STATA, Python, etc.
Statistical Packages for Time Series Analysis
Goal-oriented analysis
Some of the software packages at our disposal for time series analysis are IBM SPSS, R, SAS, STATA, Python, etc.
Technical Support
Comprehensive Report of the Analysis
You will enjoy an excellent support system for your technical report in line with the research objectives.
Technical Support
Comprehensive Report of the Analysis
You will enjoy an excellent support system for your technical report in line with the research objectives.
“I highly recommend Stats4Edu’s Econometrics Time Series services. Their team is knowledgeable and experienced, providing insights and recommendations that I would have never discovered on my own. Their attention to detail and commitment to excellence was evident in every aspect of their work, and their customer service was exceptional.”
Olivia Smith
Researcher, United Kingdom
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