# Category Archives: casino maths

## Using Poisson Distribution Models

Poisson Distribution In the perfect world, all the information you sample will be typically distributed so you could apply classic statistical investigation into your data. In reality, you’ll frequently collect data samples that don’t seem to be typically distributed. In … Continue reading

## More Musings in the House Edge

There is one thing you should always remember when gambling – statistically the house almost always wins. However understanding the house edge and how you can can manipulate it to your favor will always give you a better chance of … Continue reading

## How do Online Casino Bonuses Work

I was browsing the internet the other day and started noticing some of the incredible bonuses that online casinos offer. By simply placing in a modest deposit, you could receive a huge bonus of sometimes up to $500 all for … Continue reading

## Probability Theory in Gambling

There’s a certain characteristic that’s common to the world’s most successful gamblers – they understand the mathematics of the games they play. More specifically they understand probability theory which is normally fairly simple to implement because most games of chance … Continue reading

## Using the Poisson Distribution

The distribution grows more symmetric once the mean is larger. The standard distribution is wholly dependent on its parameters JJL and CT.. Generally, for smaller values of mu, the distribution isn’t symmetric but skewed. The Poisson distribution would be a … Continue reading

## The Math of Gaming: What Exactly is “expected value”?

The theory of predicted or expected value is an integral theory to comprehend should you desire to construct a thorough comprehension of the maths and probability of gaming. Expected worth, in an unique circumstance of gaming, pertains to how a … Continue reading

## Math vs. Opportunity in Gaming

All games of possibility take care of odds that one occasion will happen versus several other occasions. This likelihood is called the likelihood. What this means is that one-out of every two-times, in a lengthy string of trials, the coin … Continue reading