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In statistical quality control, the CUSUM (or cumulative sum control chart) is a sequential analysis technique developed by E. S. Page of the University of Cambridge. It is typically used for monitoring change detection. [1] CUSUM was announced in Biometrika, in 1954, a few years after the publication of Wald's sequential probability ratio test ...
A running total or rolling total is the summation of a sequence of numbers which is updated each time a new number is added to the sequence, by adding the value of the new number to the previous running total.
Also, if the table has cell spacing (and thus border-collapse=separate), meaning that cells have separate borders with a gap in between, that gap will still be visible. A cruder way to align columns of numbers is to use a figure space   or  , which is intended to be the width of a numeral, though is font-dependent in practice:
Prefix sums are trivial to compute in sequential models of computation, by using the formula y i = y i − 1 + x i to compute each output value in sequence order. However, despite their ease of computation, prefix sums are a useful primitive in certain algorithms such as counting sort, [1] [2] and they form the basis of the scan higher-order function in functional programming languages.
Solution: divide one of the tall cells so that the row gets one rowspan=1 cell (and don't mind the eventual loss of text-centering). Then kill the border between them. Don't forget to fill the cell with nothing ({}). This being the only solution that correctly preserves the cell height, matching that of the reference seven row table.
SP1 is a cumulative update that includes all previous updates, as well as fixes exclusive to its release; [62] [66] a list of exclusive fixes was released by Microsoft. [67] SP1 also introduced additional features for Access, Excel, OneNote, Outlook, PowerPoint, and Word.
Box plot of the Michelson–Morley experiment, showing several summary statistics.. In descriptive statistics, summary statistics are used to summarize a set of observations, in order to communicate the largest amount of information as simply as possible.
One can link the type I to types II and III in the following way: If the cumulative distribution function of some random variable is of type II, and with the positive numbers as support, i.e. ( ; , , ) , then the cumulative distribution function of is of type I, namely ( ; , , ) .