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Nonlinear regression to predict lotteriesReply
Hi, There is more than just use your game file and predict with linear or nonlinear regression. That's not a push button method. 1 - you must use your game history in the drawn order. Don't sort it. 2 - forget classical statistics as fequency, skips, etc.. 3 - Regression need that you analyse your file to test it for normality, autocorrelation, stationarity, seasonality. 4 - Those results will tell you if the file need to be transformed or not. Transformation will be neede
Sep 7, 2014, 6:18 pm - bob790 - Mathematics Forum

What Excel version are you using?Reply
What we've found is that oscillating random data can have multiple waves. The Wave Matrix is like a frequency filter that can, in general, find a close match to the waves in the oscillating data. If you Sum the Linear Regression, Waves and the Remainder in a single line, you'll see the Sum of those equals the original data. Example, in line 10 of our previous Wave Matrix of Column C, you can see that if each of the components in the Wave Matrix are Summed we get the original data. Be
Oct 2, 2012, 6:54 pm - JADELottery - Mathematics Forum

Conditional choices??Reply
oook. these are examples of over-complex analysis of having 2 random systems being equated by probabilistic sampling and using this sampling to arrive with a forecast. author argues with the following main assumption: two random system can exhibit coorelation(s) (what author also calls conditional probablity), this could be more directly called Markov process (but lets not get more complex:) author then continues to outline very elaborate way to calculate these coorelations to form basi
May 3, 2009, 12:33 pm - edge - Lottery Systems Forum

Simulating the pool for the next draw/s
DATA 0123456789 Ideal A parameter(could be digits, sums etc) shuffles the pool. CAL Drawing Date Pick 3 Pick 4 Midday Evening Midday Evening Sat, Mar 12, 2016 7-3-0 3-6-2 1-2-1-5 Fri, Mar 11, 2016 7-0-8 3-2-8 5-9-0-3 Thu, Mar 10, 2016 0-8-2 0-6-7 1-2-5-0 Wed, Mar 9, 2016 7-5-0 4-3-5 2-2-9-5 Tue, Mar 8, 2016 7-7-9 1-0-1 2-9-5-1 Mon, Mar 7, 2016 9-3-1 6-4-9 9-6-5-3 Sun, Mar 6, 2016 7-9-1 5-6-8 1-4-9-5 Sat, Mar 5, 2016 3-6-6 0-0-6 2-2-5-3
Mar 13, 2016, 2:57 pm - adobea78 - Lottery Systems Forum

8 x 15 (Pick 3)Reply
CAL Drawing Date Pick 3 Pick 4 Midday Evening Midday Evening Fri, Aug 15, 2014 1-0-6 5-1-9 7-8-2-7 1-9-4-0 Thu, Aug 14, 2014 1-5-4 3-4-5 1-2-1-0 3-6-2-3 Wed, Aug 13, 2014 2-3-1 5-0-6 4-8-0-7 7-3-5-1 Tue, Aug 12, 2014 4-1-1 1-9-4 3-0-1-9 1-6-3-5 Mon, Aug 11, 2014 0-0-4 3-1-7 8-0-2-1 9-2-0-2 Sun, Aug 10, 2014 4-1-3 7-8-6-7 Sat, Aug 9, 2014 9-8-5 4-8-5 2-3-0-5 3-6-6-3 Fri, Aug 8, 2014 0-4-2 0-9-9 4-6-6-5 0-4-6-2 Thu, Aug 7, 2014 9-0-8 8-0-6 8-9-
Aug 16, 2014, 10:44 am - adobea78 - Lottery Systems Forum

systemst pick3Reply
hello hyper= It is common to encounter difficulties when applying ARIMA and SARIMA models, especially when the results are concentrated in a specific range and do not reflect the expected variability of the data. Let's look at the possible causes and solutions for the problems you are facing: Why are ARIMA results concentrated in a range? Stationary data: If your data is already very stationary (little variability), the model may have difficulty capturing more complex patterns and gen
Dec 29, 2024, 7:29 am - dr san - Lottery Discussion Forum

Bidirectional Mean Averaging and The Wave MatrixReply
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: Index n Ball #01 Dn - Draw Occurrence Linear Regression Ln = m * n + b m = 8.29, b =40.70 Oscillation Data - A {Dn - Ln} Wave Data - W1 d1 = -0.87 i = 32 Wave Data - W2 d2 = 0.73 i = 32 Wave Data - W3 d3 = 1.89 i = 32 Wave Data - W4 d4 = 3.06 i = 32 Wave Data -
Dec 10, 2006, 7:46 am - JADELottery - Mathematics Forum

1 to 11 Point - Polynomial Wave Projection Equations
1 to 11 Point - Polynomial Wave Projection Equations Reference - 5th Degree Polynomial Wave Projection, Bidirectional Mean Averaging and The Wave Matrix, Example Process for Finding Variable Coefficients and Solved Projection Equations, Example of Finding Powerball Number Linear Regression BMA and Wave Matrix The different point projections are an expansion process of finding the Variable Coefficient Equations and the Solved Projection Equations. The Cofactors in the Coefficient Equations
Aug 4, 2007, 4:53 pm - JADELottery - Mathematics Forum

The Wave Matrix - Excel 2007 AddinReply
The Type of analysis in the table is Linear. A and B are the coefficients of the Linear equation y = A + B x. The Regression column is derived from the Linear equation using the Index column by setting the Index = x. A tells us the values are close to 4.4 and B is near zero, meaning the line is near flat or horizontal. Each Wave and the Remainder tends to oscillate about the Regression line. The Regression, Waves and Remainder are all parts of the original data.
Mar 1, 2013, 9:01 pm - JADELottery - Mathematics Forum

The Wave Matrix - Excel 2007 AddinReply
Ideally we would like to see the BMA Degree start negative and become more positive; with Wave 1 and Wave 4 BMA Degrees near equal and opposite. To do this, we need to make some setting changes in the Algorithm Settings first and if needed, changes to the Wave Find Algorithm. We will start with the 'Amplitude to Frequency Ratio', this will tell us if the waves we need are more or less dependent on Amplitude or Frequency. Settings that are closer to 1.00 have the effect of inclu
Mar 9, 2013, 12:40 pm - JADELottery - Mathematics Forum