When.com Web Search

Search results

1. Results From The WOW.Com Content Network

2. Linear trend estimation - Wikipedia

   en.wikipedia.org/wiki/Linear_trend_estimation

   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. Linear trend estimation essentially creates a straight line on a graph of data that models the general direction that the data is heading.

3. Trend analysis - Wikipedia

   en.wikipedia.org/wiki/Trend_analysis

   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.

4. Decomposition of time series - Wikipedia

   en.wikipedia.org/wiki/Decomposition_of_time_series

   In policy analysis, forecasting future production of biofuels is key data for making better decisions, and statistical time series models have recently been developed to forecast renewable energy sources, and a multiplicative decomposition method was designed to forecast future production of biohydrogen. The optimum length of the moving average ...

5. Linear regression - Wikipedia

   en.wikipedia.org/wiki/Linear_regression

   A trend line could simply be drawn by eye through a set of data points, but more properly their position and slope is calculated using statistical techniques like linear regression. Trend lines typically are straight lines, although some variations use higher degree polynomials depending on the degree of curvature desired in the line.

6. Simple linear regression - Wikipedia

   en.wikipedia.org/wiki/Simple_linear_regression

   The formulas given in the previous section allow one to calculate the point estimates of α and β — that is, the coefficients of the regression line for the given set of data. However, those formulas do not tell us how precise the estimates are, i.e., how much the estimators α ^ {\displaystyle {\widehat {\alpha }}} and β ^ {\displaystyle ...

7. Exponential smoothing - Wikipedia

   en.wikipedia.org/wiki/Exponential_smoothing

   Exponential smoothing or exponential moving average (EMA) is a rule of thumb technique for smoothing time series data using the exponential window function.Whereas in the simple moving average the past observations are weighted equally, exponential functions are used to assign exponentially decreasing weights over time.