The Annals of Statistics

Control Charts Based on Weighted Sums

Tze Leung Lai

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Abstract

In a continuous production process, samples of fixed size are taken at regular intervals of time and a statistic $X_n$ is computed from the $n$th sample, $n = 1,2, \cdots$. In this paper, we study process inspection schemes which stop the production and take corrective action with $N = \text{first} n \geqq 1$ such that $\sum^n_{i=1} c_{n-i} X_i \geqq h$, where $h$ is a preassigned constant and $c_0 \geqq c_1 \geqq \cdots \geqq c_{k-1} > 0 = c_k = c_{k+1} = \cdots$ is a suitably chosen sequence of weights. The average run length of such procedures is examined, and in the normal case, numerical comparisons with the average run length of the usual Shewhart Chart are given. In connection with the normal case, the first passage times of more general Gaussian sequences are studied and an asymptotic theorem is obtained. The first passage time $N$ for more general weighted sums, where the sequence $(c_n)$ is not assumed to be eventually zero but is assumed to be at least square summable, is also considered.

Article information

Source
Ann. Statist., Volume 2, Number 1 (1974), 134-147.

Dates
First available in Project Euclid: 12 April 2007

Permanent link to this document
https://projecteuclid.org/euclid.aos/1176342619

Digital Object Identifier
doi:10.1214/aos/1176342619

Mathematical Reviews number (MathSciNet)
MR353604

Zentralblatt MATH identifier
0288.62043

JSTOR
links.jstor.org

Keywords
6280 6245 Process inspection schemes control charts weighted sums average run length Gaussian sequences first passage times

Citation

Lai, Tze Leung. Control Charts Based on Weighted Sums. Ann. Statist. 2 (1974), no. 1, 134--147. doi:10.1214/aos/1176342619. https://projecteuclid.org/euclid.aos/1176342619


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