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Method and system for detecting changes in data

  • US 7,474,985 B1
  • Filed: 04/25/2003
  • Issued: 01/06/2009
  • Est. Priority Date: 04/25/2003
  • Status: Expired due to Fees
First Claim
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1. A method for detecting statistically significant changes in data, comprising the steps of:

  • a) receiving and storing ith data in an array, where i is an index;

    b) determining a mean and standard deviation from consistent data for use with said ith data, and identifying and flagging non-conforming data from said array so that said consistent data exclude flagged non-conforming data if;

    i) no a prior mean and standard deviation are available, ii) if there are less than C consistent data stored in said array, iii) if a prior determined standard deviation equals zero, or iv) if a mean and standard deviation reset are required and there is at least C data in a subset of said array selected for use in said mean and standard deviation reset, where C is a positive integer;

    c) determining test statistics from said ith data and said mean and standard deviation determined in said step (b), wherein said test statistics include a signal length;

    d) flagging said ith data if said ith data is non-conforming;

    e) determining a direction of any signal, shift, or trend indicated by said data array at said ith data;

    f) determining if any said signal, shift, or trend is indicated by said ith data stored in said array at said ith data define a statistically significant signal, shift, or trend;

    g) displaying statistics representing said ith data stored in said array; and

    h) returning to said step (a) when (i+1)th data is available and if a continue process instruction is received.

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