He had tried to produce random patterns with Excel so that the proposed tiling
It takes a lot of time,Īnd then the client comes home and says she can see a space invader near the cooker." Long we spend trying to get arrangements that look right. "Clients often want a random effect using different colours. Someone who fits kitchens and bathrooms for a living asked for help with tiling: Numbers that don't repeat, you may be interested in this article. If you arrived looking for information on shuffling lists, lottery numbers and choosing random Thus a SHORTEST POSSIBLE sequence of 11 digits can accommodate one billion unpredictable random numbers and a sequence of only 14 digits can accommodate one trillion unpredictable random numbers.Explore random tile patterns with an Excel workbook that produces designs from a pre-set supply of colours Hence, my claim is that when 1, 2 or 3 randomly created digits are attached to the sequential number, you award randomness to it and such randomized sequential numbers are unpredictable. Thus when a sequential number is transformed into a random number by addition of 1 or 2 digits, such randomization does not need math based algorithm.Įven if the two digits are created by math based algorithms, there can be innumerable such algorithms that can create two digit random numbers. These last two digits transform the 11 digit sequential number into a 13 digit random number.
Each number consists of 13 digits, out of which first 11 digits are sequential numbers and the 12th and 13th digits together form a random number. If only the random numbers are allowed to be of unique value.ġ2345678901 34. RANDOMIZED SERIAL/SEQUENTIAL NUMBERS (UNIQUE & UNPREDICTABLE) Thank you again for the blog - very informative and practically useful.Īnd unexpectedly what was written about by yourselfĭoes the iCDF approach give the same results? What are the benefits to use it? What is very close to the magnitudes wanted :) ! ZETA = EST ) ENDPOINTS = 0 TO 100 BY 1.0 HISTOGRAM lgnrm / LOGNORMAL (THETA = EST SIGMA = EST PROC PRINT DATA = qwerty (OBS = 10 ) var lgnrm run Lgnrm = CONSTANT ( 'E' ) **nr OUTPUT END RUN I really, really hope that you can help me. Can you help me here, Rick? I need the 24-month concentrations to conclude whether an industrial merger wave exists or not for a given industry -> if in 99% of the draws the highest 24-month concentration is lower than the actually or observed peak concentration, there is significant evidence for the existence of an 2 year merger wave within the given industry, in that decade. My hurdle is that after the simulation process, I need to identify the volume of the highest 24-month concentration for each of the 1000 draws.
#Create random floor generator how to
based on this blog post, I now think I know how to conduct the simulation in SAS. x is the observed number of M&A's in the industry under investigation. And I need to repeat this step 1000 times. I need to randomly generate x uniformly distributed numbers ('pseudo'-M&A's) between 1 and 120 (JanYear1, FebYear1.DecYear10) for every identified M&A-active industry (48 industries). The purpose of the simulation is to verify wether industrial merger waves exist in Europe or not. I am currently struggling with a simulation for my master thesis.
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