tptest.dem

Delphi Pascal 数据挖掘领域算法包 数值算法大全

PROGRAM d13r6(input,output);
(* driver for routine TPTEST *)
(* compare two correlated distributions vs. two *)
(* uncorrelated distributions *)
CONST
   npts=500;
   eps=0.01;
   nshft=10;
   anoise=0.3;
TYPE
   glnparray = ARRAY [1..npts] OF real;
VAR
   gliset : integer;
   glgset : real;
   glinext,glinextp : integer;
   glma : ARRAY [1..55] OF real;
   ave1,ave2,ave3,gauss : real;
   offset,prob1,prob2,shift,t1,t2: real;
   var1,var2,var3 : real;
   i,idum,j : integer;
   data1,data2,data3 : glnparray;

(*$I MODFILE.PAS *)
(*$I RAN3.PAS *)

(*$I GASDEV.PAS *)

(*$I GAMMLN.PAS *)

(*$I BETACF.PAS *)

(*$I BETAI.PAS *)

(*$I AVEVAR.PAS *)

(*$I TPTEST.PAS *)

BEGIN
   gliset := 0;
   idum := -5;
   writeln('Correlated:':29,'Uncorrelated:':30);
   writeln('Shift':7,'t':11,'Probability':17,'t':11,'Probability':17);
   offset := (nshft DIV 2)*eps;
   FOR j := 1 to npts DO BEGIN
      gauss := gasdev(idum);
      data1[j] := gauss;
      data2[j] := gauss+anoise*gasdev(idum);
      data3[j] := gasdev(idum)+anoise*gasdev(idum)
   END;
   avevar(data1,npts,ave1,var1);
   avevar(data2,npts,ave2,var2);
   avevar(data3,npts,ave3,var3);
   FOR j := 1 to npts DO BEGIN
      data1[j] := data1[j]-ave1+offset;
      data2[j] := data2[j]-ave2;
      data3[j] := data3[j]-ave3
   END;
   FOR i := 1 to nshft DO BEGIN
      shift := i*eps;
      FOR j := 1 to npts DO BEGIN
         data2[j] := data2[j]+eps;
         data3[j] := data3[j]+eps
      END;
      tptest(data1,data2,npts,t1,prob1);
      tptest(data1,data3,npts,t2,prob2);
      writeln(shift:6:2,t1:14:4,prob1:12:4,t2:16:4,prob2:12:4)
   END
END.