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If the trend can be assumed to be linear, trend analysis can be undertaken within a formal regression analysis, as described in Trend estimation. If the trends have other shapes than linear, trend testing can be done by non-parametric methods, e.g. Mann-Kendall test, which is a version of Kendall rank correlation coefficient.
The Cochran–Armitage test for trend, [1] [2] named for William Cochran and Peter Armitage, is used in categorical data analysis when the aim is to assess for the presence of an association between a variable with two categories and an ordinal variable with k categories.
It is a technical analysis based on historical data to estimate the trend of the data thus forecasting for its futures. [13] Comparing financial ratios over periods of time to determine financial performance of the business. Comparing current with past figures to examine the trending, whether it's getting better or deteriorating over time.
A variation of the Theil–Sen estimator, the repeated median regression of Siegel (1982), determines for each sample point (x i, y i), the median m i of the slopes (y j − y i)/(x j − x i) of lines through that point, and then determines the overall estimator as the median of these medians.
Structural causal modeling, which attempts to formalize the limitations of quasi-experimental methods from a causality perspective, allowing experimenters to precisely quantify the risks of quasi-experimental research, is an emerging discipline originating with the work of Judea Pearl.
Forecasting is the process of making predictions based on past and present data. Later these can be compared with what actually happens. For example, a company might estimate their revenue in the next year, then compare it against the actual results creating a variance actual analysis.
Linear trend estimation is a statistical technique used to analyze data patterns. Data patterns, or trends, occur when the information gathered tends to increase or decrease over time or is influenced by changes in an external factor.
SWOT has been described as a "tried-and-true" tool of strategic analysis, [3] but has also been criticized for limitations such as the static nature of the analysis, the influence of personal biases in identifying key factors, and the overemphasis on external factors, leading to reactive strategies. Consequently, alternative approaches to SWOT ...