An Application of the Control Chart Method to the Analysis of Fisheries Data.

نویسنده

  • W H Rich
چکیده

AN APPLICATION OF THE CONTROL CHART METHOD TO THE ANALYSIS OF FISHERIES DATA IN a paper now in press as a Bulletin of the U. S. Fish and Wildlife Services the writer has discussed the downward trend of the catch of Columbia River Chinook salmon since 1920 and has stated that the decline is doubtless an indication that the runs of this species are seriously depleted. Recently the same data have been studied by means of the control chart method and the results show so clearly that the productivity has dropped to a new and much lower level that it has seemed worth while to present a brief note amplifying the discussion in the bulletin. The statistical analysis, or control chart, as developed by Shewhart, 2,3 Deraing,s Simon' and others, has been applied chiefly to the control of quality of manufactured products but the same methods can be used in the analysis of other types of data, especially those involving time series. This application to the annual catch of Chinook salmon illustrates the value of the method in the field of fisheries biology. Fundamentally the methodhas much in common with the analysis of variance and, in its more common application, involves systematic observations of a selected character and continuous analysis of the variations. It provides a convenient and rapid way of discovering the presence of heterogeneity in data, the causes of which, on further study, may be identified. The processes involved may then be controlled in the direction of the elimination of causes of undesired variability or, conversely, in the, direction of the development of the causes behind an improvement. Ingenious tables facilitate the computations involved and the simple graphs used present the results in such a way that they may be readily extended, promptly analyzed and interpreted.6.6.7 Fig. 1 presents a series of graphs resulting from the application of this method to the analysis of the annual catch of Chinook salmon in the Columbia River

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multi-objective Efficient Design of np Control Chart Using Data Envelopment Analysis

Control charts are the most important tools of statistical process control used to discriminate between assignable and common causes of variation and to improve the quality of a process. To design a control chart, three parameters including sample size, sampling interval, and control limits should be determined. The objectives are hourly expected cost, in-control average run length, power of th...

متن کامل

A New Uni-attribute Control Chart to Monitor the Number of Nonconformities

The most well-known uni-arribute control chart used to monitor the number of nonconformities per unit is the Shewhart type C-chart. In this paper, a new method is proposed in an attempt to reduce the false alarm rate in the C-chart. To do this, the decision on beliefs (DOB) concept is first uti [1] Corresponding author e-mail: [email protected]   lized to design an iterative method, where...

متن کامل

A new chart-independent method for fast identification of control level of industrial processes using continuous data

A new method is developed for a fast identification of the stability situation of industrial processes. The proposed method includes two factor ratios of the control constants for the upper and lower control limits to process these constants. An indication ratio is then defined as the ratio of the maximum data range value to the difference between the maximum and average values for individual d...

متن کامل

Efficient Selection of Design Parameters in Multi-Objective Economic-Statistical Model of Attribute C Control Chart

Control chart is the most well-known chart to monitor the number of nonconformities per inspection unit where each sample consists of constant size. Generally, the design of a control chart requires determination of sample size, sampling interval, and control limits width. Optimally selecting these parameters depends on several process parameters, which have been considered from statistical and...

متن کامل

Application of robust multivariate control chart with Winsorized Mean: a case study

Water pH and active ingredient concentration are two of the most important variables to consider in the manufacturing process of fungicides. If these variables do not meet the required standards, the quality of the product may be compromised and lead to poor fungicide performance when water is used as the application carrier, which is in most cases. Given the correlation between the variable...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Science

دوره 97 2516  شماره 

صفحات  -

تاریخ انتشار 1943