Welcome Guest
You last visited January 23, 2017, 7:51 pm
All times shown are
Eastern Time (GMT-5:00)

# Bidirectional Mean Averaging and The Wave Matrix

Topic closed. 28 replies. Last post 10 years ago by Hyperdimension.

 Page 1 of 2
The Quantum Master
West Concord, MN
United States
Member #21
December 7, 2001
3685 Posts
Offline
 Posted: December 10, 2006, 7:45 am - IP Logged

Bidirectional Mean Averaging and The Wave Matrix

1 - Oscillation Data Set

A = {X1, X2, X3, ... , Xn-2, Xn-1, Xn}

A - oscillation data set is any set of X values oscillating on the x-axis.
oscillating X values can be obtained by removing any regression components.
possible regression components are:
constant, linear, exponential, logarithmic, power, geometric, polynomial, etc.

2 - Up Mean Averaging

U1 = X1
U2 = (U1 + X2
ed) / (1 + ed)
U3 = (U2 + X3
ed) / (1 + ed)
...
Un-2 = (Un-3 + Xn-2
ed) / (1 + ed)
Un-1 = (Un-2 + Xn-1
ed) / (1 + ed)
Un  = (Un-1 + Xn
ed) / (1 + ed)

Up Mean Averaging Set -  U = {U1, U2, U3, ... , Un-2, Un-1, Un}

3 - Down Mean Averaging

Dn  = Xn
Dn-1 = (Dn + Xn-1
ed) / (1 + ed)
Dn-2 = (Dn-1 + Xn-2
ed) / (1 + ed)
...
D3 = (D4 + X3
ed) / (1 + ed)
D2 = (D3 + X2
ed) / (1 + ed)
D1 = (D2 + X1
ed) / (1 + ed)

Down Mean Averaging Set -  D = {D1, D2, D3, ... , Dn-2, Dn-1, Dn}

4 - Bidirectional Mean Averaging

B = (U + D) / 2

¯

Y1 = (U1 + D1) / 2
Y2 = (U2 + D2) / 2
Y3 = (U3 + D3) / 2
...
Yn-2 = (Un-2 + Dn-2) / 2
Yn-1 = (Un-1 + Dn-1) / 2
Yn  = (Un + Dn) / 2

Bidirectional Mean Averaging Set -  Bma(A,d) = B = {Y1, Y2, Y3, ... , Yn-2, Yn-1, Yn}
A -  oscillation data set.
d -  degree of weighting data.

-¥ £ d £ +¥, d is any real number.
lim d
®  +¥, Bma(A,d) = B = A
lim d
®  -¥, Bma(A,d) = B = (X1 + Xn ) / 2

5 - Iteration of Bidirectional Mean Averaging

B1 = Bma(A,d)
B2 = Bma(B1,d)
B3 = Bma(B2,d)
...
Bi-2 = Bma(Bi-3,d)
Bi-1 = Bma(Bi-2,d)
Bi  = Bma(Bi-1,d)

Iteration of Bidirectional Mean Averaging -  Ibma(A,d,i) = Bi

A - oscillation data set.
d - degree of weighting.
i - iteration of averaging.
i
³ 1, i is any positive integer.

6 - Ibma as Wave Data Set and Remainder Set of Wave Data Set

Wave Data Set -  W = Ibma(A,d,i)

R = A - W

¯

R1 = X1 - Y1
R2 = X2 - Y2
R3 = X3 - Y3
...
Rn-2 = Xn-2 - Yn-2
Rn-1 = Xn-1 - Yn-1
Rn = Xn - Yn

R = {R1, R2, R3, ... , Rn-2, Rn-1, Rn}

Remainder Set of Wave Data Set -  R

7 - Iteration of Remainder Set, the Wave Matrix and Remainder Set of the Wave Matrix

W1 = Ibma(A,d,i) ,    R1 = A - W1
W2 = Ibma(R1,d,i) ,    R2 = R1 - W2
W3 = Ibma(R2,d,i) ,    R3 = R2 - W3
...
Wj-2 = Ibma(Rj-3,d,i) ,    Rj-2 = Rj-3 - Wj-2
Wj-1 = Ibma(Rj-2,d,i) ,    Rj-1 = Rj-2 - Wj-1
Wj  = Ibma(Rj-1,d,i) ,    Rj = Rj-1 - Wj

The Wave Matrix -  Wm(A,d,i,j) = {W1, W2, W3, ... , Wj-2, Wj-1, Wj}
Remainder Set of the Wave Matrix -  Rm(A,d,i,j) = Rj

A - oscillation data set.
A = W1 + W2 + W3 + ... + Wj-2 + Wj-1 + Wj + Rj
d - degree of weighting.
i - iteration of averaging.
j - iteration of the wave data set.
j
³ 1, j is any positive integer.
lim j
® +¥, Rj = 0

8 - Determining d Values in the Wave Data Set through Root Mean Square (RMS) Equivalence and Degree of Weighting Set

RMS of Wave Data Set -  rmsW =  Ö(S (W)2) / n
=
Ö(S Ibma(A,d,i)2) / n
=  [a = 1 to a = n]
Ö(S (Ya)2) / n

RMS of Remainder Data Set -  rmsR =  Ö(S (R)2) / n
=
Ö(S (A - W)2) / n
=
Ö(S (A - Ibma(A,d,i))2) / n
=  [a = 1 to a = n]
Ö(S (Ra)2) / n

Determined d Value -  d à rmsW = rmsR
Read as: d is determined when rmsW is equal to rmsR.
the value of d is found through a feedback root find algorithm.

W1 = Ibma(A,d1,i) ,    R1 = A - W1 ,  d1 à rmsW1 = rmsR1
W2 = Ibma(R1,d2,i) ,    R2 = R1 - W2 ,  d2
à rmsW2 = rmsR2
W3 = Ibma(R2,d3,i) ,    R3 = R2 - W3 ,  d3
à rmsW3 = rmsR3
...
Wj-2 = Ibma(Rj-3,dj-2,i) ,    Rj-2 = Rj-3 - Wj-2 ,  dj-2
à rmsWj-2 = rmsRj-2
Wj-1 = Ibma(Rj-2,dj-1,i) ,    Rj-1 = Rj-2 - Wj-1 ,  dj-1
à rmsWj-1 = rmsRj-1
Wj = Ibma(Rj-1,dj,i)  ,      Rj = Rj-1 - Wj  ,      dj
à rmsWj = rmsRj

Degree of Weighting Data Set -  d = {d1, d2, d3, ... , dj-2, dj-1, dj}

RMS Adjusted Wave Matrix -  Wm(A,d,i,j) = {W1, W2, W3, ... , Wj-2, Wj-1, Wj}
RMS Adjusted Remainder Set of the Wave Matrix -  Rm(A,d,i,j) = Rj

Presented 'AS IS' and for Entertainment Purposes Only.
Any gain or loss is your responsibility.

Order is a Subset of Chaos
Knowledge is Beyond Belief
Wisdom is Not Censored
Douglas Paul Smallish
Jehocifer

The Quantum Master
West Concord, MN
United States
Member #21
December 7, 2001
3685 Posts
Offline
 Posted: December 10, 2006, 7:46 am - IP Logged

Here's a table of Draw Occurrence, Linear Regression of Occurrence, Oscillation Data, Wave Matrix, and Remainder Data for WI Lottery of Ball #1 for 1500 Draws:

 Indexn Ball #01Dn - DrawOccurrence Linear RegressionLn = m * n + bm = 8.29, b =40.70 OscillationData - A {Dn - Ln} Wave Data - W1d1 = -0.87i = 32 Wave Data - W2d2 = 0.73i = 32 Wave Data - W3d3 = 1.89i = 32 Wave Data - W4d4 = 3.06i = 32 Wave Data - W5d5 = 3.83i = 32 Remainder - R5 1 16 48.98 -32.98 -23.92 -0.97 1.81 -3.29 -3.74 -2.87 2 41 57.27 -16.27 -23.85 -1.11 2.41 1.27 2.09 2.92 3 51 65.56 -14.56 -23.76 -1.33 2.92 3.6 2.65 1.36 4 53 73.84 -20.84 -23.65 -1.62 2.81 2.83 -0.02 -1.19 5 59 82.13 -23.13 -23.52 -1.96 1.94 1.95 -0.52 -1.02 6 69 90.42 -21.42 -23.36 -2.31 0.44 1.6 1.01 1.2 7 72 98.7 -26.7 -23.19 -2.63 -1.42 0.15 0.56 -0.18 8 76 106.99 -30.99 -22.99 -2.91 -3.19 -2.01 0.07 0.04 9 81 115.28 -34.28 -22.77 -3.1 -4.32 -4.24 -0.71 0.86 10 83 123.56 -40.56 -22.52 -3.22 -4.32 -5.53 -2.43 -2.53 11 102 131.85 -29.85 -22.25 -3.26 -3.02 -4.1 -0.3 3.07 12 106 140.14 -34.14 -21.95 -3.28 -0.67 -1.98 -2.19 -4.07 13 133 148.42 -15.42 -21.63 -3.3 2.04 2.4 2.14 2.93 14 143 156.71 -13.71 -21.28 -3.39 4.31 4.45 1.75 0.45 15 149 165 -16 -20.91 -3.6 5.54 4.43 0.04 -1.5 16 160 173.28 -13.28 -20.51 -3.94 5.51 4.19 0.92 0.54 17 166 181.57 -15.57 -20.08 -4.44 4.35 2.9 0.98 0.72 18 167 189.86 -22.86 -19.62 -5.08 2.44 0.48 -0.32 -0.76 19 172 198.15 -26.15 -19.14 -5.83 0.34 -1.62 -0.52 0.62 20 174 206.43 -32.43 -18.63 -6.67 -1.39 -3.01 -1.25 -1.47 21 185 214.72 -29.72 -18.09 -7.57 -2.36 -3.03 0.46 0.86 22 193 223.01 -30.01 -17.52 -8.51 -2.33 -3.53 0.46 1.42 23 196 231.29 -35.29 -16.92 -9.48 -1.22 -4.44 -2.28 -0.94 24 206 239.58 -33.58 -16.3 -10.51 0.83 -2.65 -2.95 -2 25 227 247.87 -20.87 -15.65 -11.6 3.19 2.53 0.62 0.04 26 247 256.15 -9.15 -14.97 -12.76 4.88 6.97 3.85 2.88 27 249 264.44 -15.44 -14.27 -13.99 5.05 7 1.59 -0.82 28 252 272.73 -20.73 -13.55 -15.24 3.46 4.98 0.19 -0.57 29 255 281.01 -26.01 -12.8 -16.44 0.42 2.66 0.14 0.01 30 257 289.3 -32.3 -12.03 -17.5 -3.43 0.18 0.15 0.33 31 258 297.59 -39.59 -11.24 -18.28 -7.35 -2.45 -0.55 0.29 32 259 305.87 -46.87 -10.44 -18.67 -10.64 -4.38 -1.58 -1.17 33 269 314.16 -45.16 -9.61 -18.54 -12.85 -4.5 -0.67 1.01 34 276 322.45 -46.45 -8.77 -17.79 -13.87 -3.7 -0.98 -1.33 35 293 330.73 -37.73 -7.92 -16.37 -13.89 -1.82 0.58 1.68 36 301 339.02 -38.02 -7.06 -14.25 -13.25 -0.48 0.14 -3.13 37 326 347.31 -21.31 -6.19 -11.47 -12.18 0.36 4.03 4.14 38 329 355.59 -26.59 -5.31 -8.1 -10.57 -3.33 0.58 0.14 39 335 363.88 -28.88 -4.43 -4.29 -7.85 -7.69 -4.19 -0.43 40 345 372.17 -27.17 -3.55 -0.18 -3.59 -6.98 -6.12 -6.74 41 395 380.46 14.54 -2.67 4.02 1.87 0.55 3.19 7.59 42 404 388.74 15.26 -1.79 8.11 7.38 4.96 0.91 -4.3 43 435 397.03 37.97 -0.92 11.9 11.78 7.82 3.64 3.76 44 440 405.32 34.68 -0.06 15.21 14.39 6.58 0.78 -2.22 45 454 413.6 40.4 0.79 17.9 15.24 4.18 0.67 1.61 46 457 421.89 35.11 1.63 19.89 14.81 1.12 -1.74 -0.61 47 462 430.18 31.82 2.46 21.14 13.67 0.13 -2.44 -3.13 48 483 438.46 44.54 3.27 21.65 12.12 1.8 2.11 3.59 49 484 446.75 37.25 4.06 21.47 10.23 1.27 0.68 -0.45 50 487 455.04 31.96 4.83 20.68 8.1 -0.14 -0.74 -0.76 51 493 463.32 29.68 5.58 19.37 5.92 -0.74 -0.58 0.13 52 498 471.61 26.39 6.31 17.65 3.84 -0.61 -0.26 -0.54 53 506 479.9 26.1 7.02 15.64 1.93 -0.22 0.83 0.91 54 509 488.18 20.82 7.7 13.44 0.22 -0.76 0.26 -0.05 55 513 496.47 16.53 8.36 11.17 -1.2 -1.61 -0.59 0.41 56 515 504.76 10.24 8.99 8.92 -2.27 -1.7 -1.62 -2.07 57 529 513.04 15.96 9.6 6.77 -3.04 -0.01 0.74 1.9 58 533 521.33 11.67 10.18 4.82 -3.77 0.96 0.23 -0.75 59 541 529.62 11.38 10.73 3.13 -4.71 1.58 0.62 0.02 60 548 537.9 10.1 11.26 1.77 -5.98 1.43 1 0.61 61 551 546.19 4.81 11.77 0.79 -7.49 0.12 0.4 -0.78 62 558 554.48 3.52 12.25 0.22 -8.87 -1.76 0.87 0.82 63 562 562.76 -0.76 12.7 0.08 -9.55 -4.63 -0.37 1 64 564 571.05 -7.05 13.14 0.35 -8.98 -6.93 -3.42 -1.21 65 576 579.34 -3.34 13.55 1 -6.95 -5.16 -3.65 -2.13 66 601 587.63 13.37 13.94 1.96 -3.96 0.85 0.8 -0.21 67 627 595.91 31.09 14.31 3.13 -1.03 5.86 5.2 3.63 68 631 604.2 26.8 14.66 4.41 1.01 4.88 2.65 -0.81 69 637 612.49 24.51 14.99 5.7 2.21 0.54 0.25 0.82 70 638 620.77 17.23 15.3 6.87 3.24 -4.01 -3.25 -0.93 71 646 629.06 16.94 15.61 7.83 4.83 -4.66 -4.34 -2.32 72 668 637.35 30.65 15.89 8.47 7.03 -0.23 -0.5 0 73 690 645.63 44.37 16.17 8.72 9.17 4.81 3.4 2.09 74 699 653.92 45.08 16.43 8.52 10.42 5.9 2.83 0.98 75 700 662.21 37.79 16.68 7.85 10.4 3.63 -0.21 -0.56 76 701 670.49 30.51 16.93 6.71 9.26 1.54 -1.82 -2.12 77 712 678.78 33.22 17.16 5.16 7.37 1.46 0.47 1.59 78 714 687.07 26.93 17.39 3.26 5 0.98 0.29 0.01 79 716 695.35 20.65 17.61 1.12 2.36 0.14 -0.3 -0.29 80 719 703.64 15.36 17.83 -1.15 -0.37 -0.36 -0.24 -0.35 81 724 711.93 12.07 18.04 -3.4 -3.01 -0.6 0.41 0.64 82 726 720.21 5.79 18.25 -5.53 -5.41 -1.28 -0.02 -0.23 83 730 728.5 1.5 18.46 -7.41 -7.39 -1.96 -0.17 -0.03 84 735 736.79 -1.79 18.66 -8.96 -8.79 -2.43 -0.19 -0.09 85 742 745.07 -3.07 18.86 -10.1 -9.46 -2.67 -0.16 0.45 86 748 753.36 -5.36 19.06 -10.8 -9.35 -2.68 -0.69 -0.9 87 760 761.65 -1.65 19.25 -11.07 -8.47 -1.94 0.31 0.27 88 772 769.93 2.07 19.44 -10.92 -6.95 -1.56 0.62 1.43 89 778 778.22 -0.22 19.63 -10.42 -4.9 -1.77 -1.59 -1.17 90 791 786.51 4.49 19.81 -9.62 -2.58 -0.17 -1.44 -1.51 91 812 794.8 17.2 19.99 -8.61 -0.43 3.03 1.56 1.65 92 823 803.08 19.92 20.16 -7.44 1.03 4.5 1.8 -0.13 93 833 811.37 21.63 20.32 -6.18 1.48 3.73 1.52 0.75 94 837 819.66 17.34 20.47 -4.86 1.08 1.18 -0.16 -0.37 95 843 827.94 15.06 20.62 -3.51 0.28 -1.21 -1.37 0.25 96 848 836.23 11.77 20.75 -2.12 -0.47 -1.91 -2.26 -2.22 97 866 844.52 21.48 20.86 -0.69 -1 -0.06 0.68 1.7 98 875 852.8 22.2 20.96 0.81 -1.48 1.13 1.01 -0.24 99 885 861.09 23.91 21.05 2.38 -2.07 1.07 1.17 0.31 100 893 869.38 23.62 21.11 4.06 -2.75 -0.4 0.41 1.18 101 894 877.66 16.34 21.16 5.82 -3.24 -2.25 -1.73 -3.42 102 914 885.95 28.05 21.18 7.66 -3.18 -2.34 1.53 3.2 103 918 894.24 23.76 21.18 9.52 -2.25 -3.97 -0.43 -0.28 104 927 902.52 24.48 21.15 11.35 -0.23 -5.08 -2.74 0.03 105 937 910.81 26.19 21.09 13.07 2.79 -2.84 -3.73 -4.2 106 970 919.1 50.9 21.01 14.58 6.15 3.53 2.7 2.94 107 986 927.38 58.62 20.89 15.82 8.8 6.9 3.9 2.3 108 987 935.67 51.33 20.74 16.73 10 5.74 0.3 -2.17 109 996 943.96 52.04 20.55 17.26 9.63 3.97 0.03 0.6 110 999 952.24 46.76 20.33 17.42 8.02 2.23 -0.54 -0.7 111 1005 960.53 44.47 20.08 17.26 5.59 1.1 0 0.44 112 1008 968.82 39.18 19.78 16.85 2.78 0 -0.05 -0.18 113 1012 977.11 34.89 19.45 16.26 -0.04 -1.05 0.08 0.19 114 1015 985.39 29.61 19.07 15.61 -2.5 -2.18 -0.04 -0.36 115 1021 993.68 27.32 18.66 14.97 -4.27 -3.31 0.12 1.15 116 1023 1001.97 21.03 18.21 14.41 -5.07 -4.45 -1.74 -0.32 117 1028 1010.25 17.75 17.72 13.98 -4.82 -3.5 -2.31 -3.32 118 1052 1018.54 33.46 17.19 13.69 -3.78 -0.07 2.59 3.84 119 1056 1026.83 29.17 16.62 13.53 -2.37 0.58 1.02 -0.2 120 1061 1035.11 25.89 16.01 13.46 -0.91 -0.03 -0.77 -1.86 121 1075 1043.4 31.6 15.36 13.42 0.55 0.09 0.64 1.54 122 1081 1051.69 29.31 14.67 13.35 2.01 -0.4 -0.42 0.1 123 1087 1059.97 27.03 13.95 13.17 3.48 -0.36 -1.62 -1.59 124 1101 1068.26 32.74 13.2 12.83 4.8 1.49 0.2 0.22 125 1113 1076.55 36.45 12.41 12.28 5.69 3.11 1.7 1.26 126 1117 1084.83 32.17 11.58 11.48 5.9 2.79 0.72 -0.3 127 1121 1093.12 27.88 10.73 10.42 5.42 1.54 -0.03 -0.21 128 1125 1101.41 23.59 9.85 9.12 4.47 0.31 -0.35 0.2 129 1128 1109.69 18.31 8.95 7.61 3.31 -0.47 -0.93 -0.15 130 1132 1117.98 14.02 8.02 5.95 2.08 -0.12 -0.95 -0.96 131 1141 1126.27 14.73 7.06 4.21 0.74 1.3 0.77 0.65 132 1146 1134.55 11.45 6.09 2.46 -0.88 1.84 1.32 0.61 133 1147 1142.84 4.16 5.1 0.8 -2.82 0.82 0.51 -0.26 134 1149 1151.13 -2.13 4.09 -0.69 -4.87 -0.85 -0.07 0.26 135 1150 1159.41 -9.41 3.07 -1.94 -6.67 -2.42 -0.89 -0.56 136 1155 1167.7 -12.7 2.05 -2.9 -7.87 -2.96 -0.51 -0.51 137 1164 1175.99 -11.99 1.01 -3.54 -8.2 -2.94 0.74 0.94 138 1170 1184.28 -14.28 -0.04 -3.86 -7.52 -3.73 0.01 0.86 139 1174 1192.56 -18.56 -1.08 -3.89 -5.74 -4.43 -2.34 -1.07 140 1185 1200.85 -15.85 -2.13 -3.71 -3 -2.39 -2.09 -2.53 141 1211 1209.14 1.86 -3.18 -3.39 0.16 1.96 2.31 4 142 1215 1217.42 -2.42 -4.22 -3.01 2.96 3.9 0.32 -2.38 143 1230 1225.71 4.29 -5.26 -2.67 4.77 5.2 1.56 0.69 144 1238 1234 4 -6.28 -2.43 5.28 4.66 1.8 0.97 145 1239 1242.28 -3.28 -7.3 -2.34 4.68 2.03 0.05 -0.4 146 1241 1250.57 -9.57 -8.31 -2.43 3.47 -0.7 -1.03 -0.57 147 1246 1258.86 -12.86 -9.3 -2.7 2.28 -2.24 -0.89 -0.01 148 1253 1267.14 -14.14 -10.28 -3.15 1.56 -2.67 -0.86 1.26 149 1254 1275.43 -21.43 -11.23 -3.76 1.4 -1.92 -2.15 -3.77 150 1276 1283.72 -7.72 -12.17 -4.5 1.6 1.07 2.4 3.88 151 1277 1292 -15 -13.09 -5.34 1.75 1.52 0.58 -0.42 152 1280 1300.29 -20.29 -13.98 -6.26 1.57 1.22 -1.02 -1.82 153 1291 1308.58 -17.58 -14.85 -7.21 0.93 1.98 0.82 0.75 154 1297 1316.86 -19.86 -15.69 -8.16 -0.18 1.8 1.47 0.9 155 1298 1325.15 -27.15 -16.51 -9.08 -1.61 -0.07 0.14 -0.03 156 1299 1333.44 -34.44 -17.3 -9.92 -2.96 -2.13 -1.11 -1.02 157 1306 1341.72 -35.72 -18.06 -10.67 -3.81 -2.94 -0.4 0.15 158 1314 1350.01 -36.01 -18.79 -11.31 -3.85 -3.25 -0.05 1.23 159 1318 1358.3 -40.3 -19.49 -11.84 -2.99 -3.36 -1.89 -0.73 160 1327 1366.58 -39.58 -20.16 -12.27 -1.46 -1.24 -1.88 -2.58 161 1350 1374.87 -24.87 -20.8 -12.62 0.23 2.91 2.59 2.81 162 1357 1383.16 -26.16 -21.4 -12.91 1.41 4.19 2.15 0.4 163 1361 1391.45 -30.45 -21.98 -13.13 1.7 2.87 0.05 0.03 164 1363 1399.73 -36.73 -22.52 -13.28 1.12 1.49 -1.7 -1.85 165 1374 1408.02 -34.02 -23.03 -13.34 -0.18 2.01 0.08 0.45 166 1382 1416.31 -34.31 -23.51 -13.24 -2.15 2.49 1.33 0.78 167 1385 1424.59 -39.59 -23.95 -12.94 -4.64 1.42 1.07 -0.55 168 1390 1432.88 -42.88 -24.37 -12.39 -7.27 -1.02 1.36 0.8 169 1391 1441.17 -50.17 -24.75 -11.54 -9.28 -5.06 0.04 0.42 170 1393 1449.45 -56.45 -25.1 -10.39 -9.76 -9.09 -2.46 0.35 171 1398 1457.74 -59.74 -25.42 -8.97 -7.99 -10.07 -5.02 -2.27 172 1420 1466.03 -46.03 -25.7 -7.34 -4.07 -5.13 -2.81 -0.98 173 1449 1474.31 -25.31 -25.96 -5.59 0.89 3.15 2 0.2 174 1476 1482.6 -6.6 -26.18 -3.86 5.3 9.01 5.62 3.5 175 1480 1490.89 -10.89 -26.37 -2.25 7.95 8.34 2.52 -1.07 176 1485 1499.17 -14.17 -26.54 -0.89 8.68 4.46 0.48 -0.37 177 1489 1507.46 -18.46 -26.67 0.15 8.19 -0.04 -0.75 0.66 178 1490 1515.75 -25.75 -26.77 0.79 7.51 -3.55 -2.79 -0.94

Presented 'AS IS' and for Entertainment Purposes Only.
Any gain or loss is your responsibility.

Order is a Subset of Chaos
Knowledge is Beyond Belief
Wisdom is Not Censored
Douglas Paul Smallish
Jehocifer

The Quantum Master
West Concord, MN
United States
Member #21
December 7, 2001
3685 Posts
Offline
 Posted: December 10, 2006, 7:47 am - IP Logged

Here are a few graphs of the table:

Presented 'AS IS' and for Entertainment Purposes Only.
Any gain or loss is your responsibility.

Order is a Subset of Chaos
Knowledge is Beyond Belief
Wisdom is Not Censored
Douglas Paul Smallish
Jehocifer

The Quantum Master
West Concord, MN
United States
Member #21
December 7, 2001
3685 Posts
Offline
 Posted: December 10, 2006, 8:38 am - IP Logged

I'm tired, I'll work on Wave Matrix projection and probability projection at another time.

I'll pop in now and then.

For now, .

Presented 'AS IS' and for Entertainment Purposes Only.
Any gain or loss is your responsibility.

Order is a Subset of Chaos
Knowledge is Beyond Belief
Wisdom is Not Censored
Douglas Paul Smallish
Jehocifer

The Quantum Master
West Concord, MN
United States
Member #21
December 7, 2001
3685 Posts
Offline
 Posted: December 30, 2006, 4:20 am - IP Logged

The Wave Matrix has been on hold for a bit while I format H-Trac for Pick 3 and Pick 4.

I'll update this thread when I have time.

Thank you for you patients..

Presented 'AS IS' and for Entertainment Purposes Only.
Any gain or loss is your responsibility.

Order is a Subset of Chaos
Knowledge is Beyond Belief
Wisdom is Not Censored
Douglas Paul Smallish
Jehocifer

The Quantum Master
West Concord, MN
United States
Member #21
December 7, 2001
3685 Posts
Offline
 Posted: January 24, 2007, 5:11 pm - IP Logged

A few side Tracs... but still working on it.

Presented 'AS IS' and for Entertainment Purposes Only.
Any gain or loss is your responsibility.

Order is a Subset of Chaos
Knowledge is Beyond Belief
Wisdom is Not Censored
Douglas Paul Smallish
Jehocifer

Honduras
Member #20982
August 29, 2005
4715 Posts
Offline
 Posted: February 13, 2007, 2:18 am - IP Logged

JadeLottery, God knows i'll like to follow you but is all too complex for me...

The Quantum Master
West Concord, MN
United States
Member #21
December 7, 2001
3685 Posts
Offline
 Posted: February 15, 2007, 4:06 pm - IP Logged

JadeLottery, God knows i'll like to follow you but is all too complex for me...

it does seem that way, but in the end it will be simple like a computer that can fit inside a single room.

if learning the knowable were easy, everyone would be a genius.

Presented 'AS IS' and for Entertainment Purposes Only.
Any gain or loss is your responsibility.

Order is a Subset of Chaos
Knowledge is Beyond Belief
Wisdom is Not Censored
Douglas Paul Smallish
Jehocifer

The Quantum Master
West Concord, MN
United States
Member #21
December 7, 2001
3685 Posts
Offline
 Posted: February 27, 2007, 4:57 pm - IP Logged

Whoo, I'm glad I used the Wave Matrix to analyze my 401k and put all my money into Cash back in Mid Dec.

Now the fun part, make even more money after the Market gose Lower....  YEAH!!!

I love those Waves and the Matrix it's in.

Presented 'AS IS' and for Entertainment Purposes Only.
Any gain or loss is your responsibility.

Order is a Subset of Chaos
Knowledge is Beyond Belief
Wisdom is Not Censored
Douglas Paul Smallish
Jehocifer

The Quantum Master
West Concord, MN
United States
Member #21
December 7, 2001
3685 Posts
Offline
 Posted: March 13, 2007, 5:51 pm - IP Logged

Whoo, another one....  the storm ain't over yet.

Hang on boys and girls, we're going for a ride!!!

Yee-Haw....

Presented 'AS IS' and for Entertainment Purposes Only.
Any gain or loss is your responsibility.

Order is a Subset of Chaos
Knowledge is Beyond Belief
Wisdom is Not Censored
Douglas Paul Smallish
Jehocifer

The Quantum Master
West Concord, MN
United States
Member #21
December 7, 2001
3685 Posts
Offline
 Posted: March 27, 2007, 5:10 am - IP Logged

I've been setting this aside too long, other work and projects gobbling up my time.... this week, this week... get a move on.

Presented 'AS IS' and for Entertainment Purposes Only.
Any gain or loss is your responsibility.

Order is a Subset of Chaos
Knowledge is Beyond Belief
Wisdom is Not Censored
Douglas Paul Smallish
Jehocifer

The Quantum Master
West Concord, MN
United States
Member #21
December 7, 2001
3685 Posts
Offline
 Posted: April 1, 2007, 4:32 pm - IP Logged

Alright, let's take this in a few steps. First, the components of the projection are the Regression, Wave Matrix and Remainder values. Each of these, when summed together, equal the Observed data. The Observed data in this case is the Draw Occurrence. However, the Observed data is not restricted to just Draw Occurrence. The Observed data could be the Number drawn in a specific column, the Sum of the Numbers in each column or any data where a Regression curve/line can be derived to create an Oscillating data set about the X-axis.

Observed data = Regression + Wave Matrix + Remainder

more to continue...

Presented 'AS IS' and for Entertainment Purposes Only.
Any gain or loss is your responsibility.

Order is a Subset of Chaos
Knowledge is Beyond Belief
Wisdom is Not Censored
Douglas Paul Smallish
Jehocifer

The Quantum Master
West Concord, MN
United States
Member #21
December 7, 2001
3685 Posts
Offline
 Posted: April 1, 2007, 5:03 pm - IP Logged

As an example, we can look at the first few rows of the table I posted a while ago.

 Indexn Ball #01Dn - DrawOccurrence Linear RegressionLn = m * n + bm = 8.29, b =40.70 OscillationData - A {Dn - Ln} Wave Data - W1d1 = -0.87i = 32 Wave Data - W2d2 = 0.73i = 32 Wave Data - W3d3 = 1.89i = 32 Wave Data - W4d4 = 3.06i = 32 Wave Data - W5d5 = 3.83i = 32 Remainder - R5 1 16 48.98 -32.98 -23.92 -0.97 1.81 -3.29 -3.74 -2.87 2 41 57.27 -16.27 -23.85 -1.11 2.41 1.27 2.09 2.92 3 51 65.56 -14.56 -23.76 -1.33 2.92 3.6 2.65 1.36

The sum of each component, Linear Regression, Wave Data and Remainder equals the Draw Occurrence.

Index 1: 16 = 48.98 + (-23.92) + (-0.97) + 1.81 + (-3.29) + (-3.74) + (-2.87)

Index 2: 41 = 57.27 + (-23.85) + (-1.11) + 2.41 + 1.27 + 2.09 + 2.92

Index 3: 51 = 65.56 + (-23.76) + (-1.33) + 2.92 + 3.60 + 2.65 + 1.36

Continues...

Presented 'AS IS' and for Entertainment Purposes Only.
Any gain or loss is your responsibility.

Order is a Subset of Chaos
Knowledge is Beyond Belief
Wisdom is Not Censored
Douglas Paul Smallish
Jehocifer

The Quantum Master
West Concord, MN
United States
Member #21
December 7, 2001
3685 Posts
Offline
 Posted: April 1, 2007, 6:04 pm - IP Logged

In making a projection, we need to understand each component. The Regression is the easiest, just extend the Index to the next number in its sequence. For the example I've provided, the next Index value would be 179 and the Linear Regression value would be 1,524.61. Next the Wave Matrix and Remainder Data need to be projected to the next Index value. The Wave Matrix and Regression Data are derived from the Oscillation Data and approximate the individual Wave Components of the Oscillation Data.

Previously, I posted a graph of the Oscillation, Wave and Remainder data. Each of these components move about the X-axis at different frequencies, shown here:

Continues...

Presented 'AS IS' and for Entertainment Purposes Only.
Any gain or loss is your responsibility.

Order is a Subset of Chaos
Knowledge is Beyond Belief
Wisdom is Not Censored
Douglas Paul Smallish
Jehocifer

The Quantum Master
West Concord, MN
United States
Member #21
December 7, 2001
3685 Posts
Offline
 Posted: April 1, 2007, 7:14 pm - IP Logged

We use the Wave Matrix and Remainder data to project the deviation from the Regression component. How we handle each Wave Data and Remainder Data is dependent on the frequency of each component. Wave Data (W1) is a relatively low frequency and can be projected to a value that is close to the last Indexed value. Wave Data (W5) and the Remainder (R5) are relatively high frequencies and can be approximated using a Normal Distribution calculation that has the average centered on the X-axis and the Standard Deviation trailing out above and below the X-axis. To project higher frequency waves and the remainder data, it becomes more of a range probability or educated guess where the next data point might be. With this also, we could induce a kind of Quantum Fog at this level using the Random Number Transforms - Normal Distribution to guess the next value.

Continues...

Presented 'AS IS' and for Entertainment Purposes Only.
Any gain or loss is your responsibility.