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Moving (Korean: 무빙) is a 2023 South Korean action fantasy sci-fi television series written by Kang Full, and co-directed by Park In-je and Park Yoon-seo. The series stars an ensemble cast including Ryu Seung-ryong , Han Hyo-joo , Zo In-sung , Cha Tae-hyun , Ryoo Seung-bum , Kim Sung-kyun , Lee Jung-ha , Go Youn-jung , and Kim Do-hoon .
In statistics, a moving average ( rolling average or running average or moving mean[ 1] or rolling mean) is a calculation to analyze data points by creating a series of averages of different selections of the full data set. Variations include: simple, cumulative, or weighted forms. Mathematically, a moving average is a type of convolution.
March 9, 2021. ( 2021-03-09) She Would Never Know ( Korean : 선배, 그 립스틱 바르지 마요) is a South Korean television series starring Won Jin-ah, Rowoon, Lee Hyun-wook, Lee Joo-bin, and Lee Kyu-han. [ 1] Based on the 2017 web novel Senior, Don't Put on That Lipstick by Elise (Elize), it premiered on JTBC on January 18, 2021. [ 2][ 3 ...
Moving-average model. In time series analysis, the moving-average model ( MA model ), also known as moving-average process, is a common approach for modeling univariate time series. [ 1][ 2] The moving-average model specifies that the output variable is cross-correlated with a non-identical to itself random-variable.
If you've received an attachment in your email you want to save, you can download the file right to your computer. Download all attachments in a single zip file, or download individual attachments. While this is often a seamless process, you should also be aware of how to troubleshoot common errors. Emails with attachments can be identified ...
EWMA chart. In statistical quality control, the EWMA chart (or exponentially weighted moving average chart) is a type of control chart used to monitor either variables or attributes-type data using the monitored business or industrial process 's entire history of output. [ 1] While other control charts treat rational subgroups of samples ...
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In the statistical analysis of time series, autoregressive–moving-average ( ARMA) models provide a parsimonious description of a (weakly) stationary stochastic process in terms of two polynomials, one for the autoregression (AR) and the second for the moving average (MA). The general ARMA model was described in the 1951 thesis of Peter ...