Time Series Homework Help, Time Series Assignment Help

Time series forecasting uses information based on past data to predict future activities.

Time series analysis manipulates data and extracts meaningful characteristics and statistics. The three main basic models under time series are;

AR
MA
ARMA

The following characteristics are considered when looking at a time series;

Trend- Does the measurements tend to increase or decrease over time on average?
Seasonality-Is there a regular repetition of patterns related to calendar time such as days, weeks, months, quarters or seasons?
Outliers- Unlike in regression where outliers are far away from your line, in time series data your outliers are far away from your other data
Long-run cycle- These are periods that are not associated with seasonality factors
Constant variance- Is the variance constant or variable over time?
Abrupt changes- Are there any abrupt changes to either the level of the series or the variance

Time series is applied in a variety of fields such as Economics, Finance and Medicine. Statistics students wishing to take a career in these fields are required to be proficient in time series. We offer help to students who are having trouble with their projects, case studies, research and dissertations. We cover all the topics related to time series and statistics such as;

Uses of time series
Autocorrelation
Spectral analysis
Estimation
Financial time series and the arch model
Stationary and non-stationary
Bivariate time series
Stochastic modelling and Bayesian inference
Diagnostic checking and linear prediction
Time series analysis and forecasting
Parameter estimation
Model identification
Vector autoregressive moving average with exogenous inputs (VARMAX)

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Time series is a tool that measures data points at successive points and is maintained at significant time levels. It involves lots of calculations and data analysis. It has 3 main objectives;

Forecasting
Modelling
characterization

Time series is applied in subjects such as statistics, processing of signals, recognition of patterns, econometrical studies, finance and mathematical interpretations, weather forecasting, prediction of earthquakes, engineering and communications. Time series is a very interesting subject and requires extensive study.

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