An Iso Contour Plotting Routine As a Tool for Maximum Likelihood Estimation

Cover An Iso Contour Plotting Routine As a Tool for Maximum Likelihood Estimation
An Iso Contour Plotting Routine As a Tool for Maximum Likelihood Estimation
Rafael C Rafael Civit Andreu
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5 J^. 25 2. 25 4.
2. 25 3. 5 NA NA 1 > r 'k NPTS =15 > NDPTS Fig. A. 3. - Result variables for the locus in Fig. A. 2 grid edge. Since in a NC x NR grid there are (NC-1)*NR + (NR-1)»NC edges and one 370 word holds 32 bits, thus the assertion about the dimension of lA in point 2 above.
Bits in lA are msLnipulated as follows t A bit is set to 1 by means of a call to the subroutine MARK whenever its corres- ponding grid edge is crossed by the locus to be built. Such cir- cumstance is checked, for
...every edge but the extra ones, by the test (Al - ALEVL) * (A2 - ALEVL) ^0, (3) where Al and A2 are the function values at the edge extreme (3) Refer to section 2 for test details in special cases.
A-7 f CTOUR \ \^ entry J ± Update PTS __ NPTS=0 Clear auxi- liary memo- ;all NEXT. Let next ed 'e crossed" jy contour Mark cells' edges cro- ssed by con tour point & NAs fEXTEND may be needed) Call STPT. Locate an starting point yes Compute & save its coordinates Call ERASE Assure we won't find it again.


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