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  2. Trend analysis - Wikipedia

    en.wikipedia.org/wiki/Trend_analysis

    Trend analysis is the widespread practice of collecting information and attempting to spot a pattern. In some fields of study, the term has more formally defined meanings. In some fields of study, the term has more formally defined meanings.

  3. Trend-stationary process - Wikipedia

    en.wikipedia.org/wiki/Trend-stationary_process

    Trends do not have to be linear or log-linear. For example, a variable could have a quadratic trend: = + + +. This can be regressed linearly in the coefficients using t and t 2 as regressors; again, if the residuals are shown to be stationary then they are the detrended values of .

  4. Linear trend estimation - Wikipedia

    en.wikipedia.org/wiki/Linear_trend_estimation

    The mathematics of linear trend estimation is a variant of the standard ANOVA, giving different information, and would be the most appropriate test if the researchers hypothesize a trend effect in their test statistic. One example is levels of serum trypsin in six groups of subjects ordered by age decade (10–19 years up to 60–69 years ...

  5. Monotonic function - Wikipedia

    en.wikipedia.org/wiki/Monotonic_function

    In mathematics, a monotonic function (or monotone function) is a function between ordered sets that preserves or reverses the given order. [ 1 ] [ 2 ] [ 3 ] This concept first arose in calculus , and was later generalized to the more abstract setting of order theory .

  6. Stationary process - Wikipedia

    en.wikipedia.org/wiki/Stationary_process

    A trend-stationary process is not strictly stationary but can be made stationary by removing the trend. Similarly, processes with unit roots can be made stationary through differencing. Another type of non-stationary process, distinct from those with trends, is a cyclostationary process, which exhibits cyclical variations over time.

  7. Normalization (statistics) - Wikipedia

    en.wikipedia.org/wiki/Normalization_(statistics)

    This can be generalized to restrict the range of values in the dataset between any arbitrary points and , using for example ′ = + (). Note that some other ratios, such as the variance-to-mean ratio ( σ 2 μ ) {\textstyle \left({\frac {\sigma ^{2}}{\mu }}\right)} , are also done for normalization, but are not nondimensional: the units do not ...

  8. Exponential growth - Wikipedia

    en.wikipedia.org/wiki/Exponential_growth

    For example the function () = grows at an ever increasing rate, but is much slower than growing exponentially. For example, when =, it grows at 3 times its size, but when = it grows at 30% of its size. If an exponentially growing function grows at a rate that is 3 times is present size, then it always grows at a rate that is 3 times its present ...

  9. Time series - Wikipedia

    en.wikipedia.org/wiki/Time_series

    Time series: random data plus trend, with best-fit line and different applied filters. In mathematics, a time series is a series of data points indexed (or listed or graphed) in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time.