Examples of 'time series analysis' in a sentence
Meaning of "time series analysis"
Time series analysis is a statistical method used to analyze and interpret data points collected at regular intervals over time. It involves examining patterns, trends, and relationships within the data to make predictions or draw conclusions about future behavior
How to use "time series analysis" in a sentence
Basic
Advanced
time series analysis
Time series analysis and its applications.
See also time series analysis.
Time series analysis comprises methods for.
Support for various time series analysis methods.
Time series analysis of climate variables.
Her dissertation was on time series analysis.
Time series analysis of aggregated data.
Studies in astronomical time series analysis.
Time series analysis techniques such as the power spectrum.
Applied statistical time series analysis.
Time series analysis emphasises on the appearance of consecutive events.
Independent variables analysed in the time series analysis.
Nonlinear time series analysis.
Statistical modeling techniques were used for time series analysis.
Time series analysis is an important area of study in many expertise fields.
See also
There are two main goals of time series analysis.
In time series analysis.
The method employed is non linear time series analysis.
Of time series analysis.
The analysis of variance was conducted by the time series analysis.
Interrupted time series analysis is the analysis of interventions on a single time series.
The data was analyzed with time series analysis methods.
Time series analysis consists of the comparison of aggregated data collected over time periods.
An introduction to the principles of time series analysis and seasonal adjustment.
Cointegration has become an important property in contemporary time series analysis.
Improving efficiency of time series analysis in extracting seasonally adjusted and trend estimates.
Forecasting and explaining electricity consumption using time series analysis.
Of primary interest in the time series analysis was the daily finished water turbidity.
Components of the analytic approaches utilised in the time series analysis.
Of primary interest for the time series analysis was the daily finished water turbidity.
One of the most important hidden factors in time series analysis.
Time series analysis can also reveal which countries have reversed trends in these statistics.
Stationarity has always played a major role in time series analysis.
The time series analysis has played an increasingly important role in weather and climate studies.
Most of their work would now be classified as time series analysis.
O Special time series analysis is usually required for historical designs.
Visibility graphs have therefore been extended to the realm of time series analysis.
Perform time series analysis and implementation of models ARMA and ARIMA.
The effect of preventive measures is assessed through interrupted time series analysis.
Time series analysis of balance of payments changes7.
The more common least squares regressions are inappropriate to time series analysis.
Therefore, time series analysis is used to forecast newspaper circulation.
And econometric modeling is vital in finance and in financial time series analysis.
Due to these improvements, time series analysis is steadily growing more widespread.
In order to evaluate the tool were used different datasets and time series analysis algorithms.
Time series analysis and modelling of systems with noise and / or disorder.
The latter a univariate descriptive statistics and time series analysis of the carbon nanomaterials market.
The group has a solid experience in techniques for statistical signal processing and time series analysis.
Using time series analysis to prepare an effective sales forecast requires management to,.
Good practices in the compilation of international accounts for time series analysis include the following.
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