ewmaplot(data) функция предназначен

ewmaplot(data) функция предназначена для построения контрольной карты экспоненциально взвешенного скользящего среднего для выборки data. Размерность матрицы DATA равна n×m, где n - количество выборок (строк DATA), m - объем выборки (число столбцов DATA). Последовательность выборок (строк матрицы data) должна соответствовать порядку сбора исходных данных. На графике контрольной карты отображаются выборочное скользящее среднее , i=1..n, центральная линия, соответствующая общему среднему , верхняя UCL и нижняя LCL контрольные границы.

Верхняя и нижняя контрольные границы определяются как

結果 (英文) 1:

ewmaplot (data) function is to build a control card exponentially weighted moving average to fetch data. The dimension of the matrix DATA is equal to n × m, where n is the number of samples (DATA rows), m-sample size (number of columns). The sequence of samples (rows of the matrix data) must match the order of the original data collection. In the chart control card displays a sample moving average, i = 1 .. n, Central line, the corresponding general secondary, UCL and LCL lower upper control border.Upper and lower control borders are defined as

結果 (英文) 2:

ewmaplot (data) function is used to construct control card exponentially weighted moving average for the sample data. The dimension of the matrix is equal to DATA n × m, where n - the number of samples (rows DATA), m - the sample size (number of columns in DATA). The sequence of samples (rows of data) shall comply with the order of the collection of baseline data. The graph displays sample checklist moving average, i = 1..n, the center line corresponding to the overall average, UCL upper and lower control limits LCL. The upper and lower control limits are defined as

結果 (英文) 3:

ewmaplot (data) is intended to build a reference map function exponentially weighted moving average for the sample data. the dimension of the matrix data is n×m, where n is the number of samples (string data)m is the volume of the sample (the number of columns of data). the sequence of samples (rows of the matrix data) should be consistent with the order of the collection of baseline data. on the chart control chart displayed selective moving average, (i = 1..n,the central line, the overall average ucl, upper and lower LCL control border.

upper and lower control limits are defined as