What is the Probability of an Earthquake Occurring During Positive Tidal Stress?

In summary, a physician is seeking help with understanding the probability of an earthquake occurring when tidal stress is positive or negative. They provide an example of a 0.4 probability for an earthquake occurring during positive stress and a 0.6 probability during negative stress, and ask for clarification on the probability of an earthquake occurring within a specific hour of positive stress. They also inquire about the relationship between probability and observed frequency in an experiment.
  • #1
sthoriginal
9
0
hi

I'm a physician and really need help from somebody who is good at probability. I calculated time series of tidal stresses. It turned out that the probability of having positive tidal stress is 0.45 and negative - 0.55 (I counted up number of hours when the stress was positive/negative and divided by the total number of hours). Usually you would expect to have 0.5 for positive stress and 0.5 for negative. So now, if we assume that an earthquake occurs at random, does it mean that there is 0.45 chance that it happens when the stress is positive? if yes, what is the probability that this earthquake occurs within some one particular hour when the stress is positive (e.g. within one hour centred on a max tidal stress)? Is it also 0.45?

I'd be really grateful if somebody can help me with it. Thanks a lot
 
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  • #2
sthoriginal said:
what is the probability that this earthquake occurs within some one particular hour when the stress is positive (e.g. within one hour centred on a max tidal stress)?

The meaning of that question isn't clear. I suggest you give an example of your question using a table of data or a graph.
 
  • #3
thanks for your replay. please have a look at the image file i attached. you can see that for 4 h the tidal stress was positive and for 6h negative. So the probability of an earthquake happening when the stress was positive was 0.4 and when the stress was negative - 0.6. does it mean that the probability of the earthquake randomly happened at the exact tidal maximum (red on a pic) is 0.4 and tidal min - 0.6)?
 

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  • #4
The probability of an earthquake happening exactly at hour 2 is 1/10 if the hour is selected with equal probability from the hours 1,2...10.

If you analyze this to introduce the conditions of positive and negative stress, you get the same answer.

pr( quake happens at hr = 2) = pr( quake happens at hr of positive stress) pr(quake happens at hr = 2 given hr has positive stress) = (4/10) ( 1/4) = 1/10.
 
  • #5
What if we only know that the probability that an earthquake occurs when stress is positive is 0.4 and 0.6 when stress is negative and we have 1000 recorded during 1 h when the stress was positive and during one hour when stress was negative. can we assume then (using the probability values) that 400 events happened during the hour of the positive stress and 600 when the stress was negative? thanks again for your effort!
 
  • #6
sthoriginal said:
What if we only know that the probability that an earthquake occurs when stress is positive is 0.4 and 0.6 when stress is negative and we have 1000 recorded during 1 h when the stress was positive and during one hour when stress was negative. can we assume then (using the probability values) that 400 events happened during the hour of the positive stress and 600 when the stress was negative? thanks again for your effort!

You can't assume that unless the 1000 records were the data used to estimate the probability values. The probability of an event and the observed frequency of an event in a given experiment and not the same thing.

For example, a typical sort of textbook question is "If a fair coin is thrown 10 times, what is the probability of 3 heads?". An outcome of 3 heads is a fraction of 3/10. It is a possible outcome of an experiment where the coin has a probability of 1/2 of landing heads on each toss.
 
  • #7
what if these 1000 events are a sample taken from population that was used to estimate the probability 0.4 to 0.6?
 
  • #8
If the probability of a randomly selected hr. having positive stress was estimated from the sample in the straightforward way then the sample had exactly 400 hours with positive stress and 600 with negative stress.
 
  • #9
thank you very much for all your comments
 

1. What is probability?

Probability is a measure of the likelihood of an event occurring. It is represented by a number between 0 and 1, where 0 indicates impossibility and 1 indicates certainty.

2. How is probability used in time series analysis?

Probability is used in time series analysis to predict the likelihood of future events based on past data. It allows us to estimate the probability of certain outcomes and make informed decisions.

3. What is a time series?

A time series is a collection of data points that are recorded over regular intervals of time. It can be used to analyze patterns, trends, and relationships over time.

4. What is the difference between a stationary and non-stationary time series?

A stationary time series has a constant mean, variance, and autocorrelation over time. A non-stationary time series, on the other hand, has a mean, variance, or autocorrelation that changes over time.

5. How do you calculate the probability of an event in a time series?

The probability of an event in a time series can be calculated by dividing the number of times the event occurred by the total number of observations in the time series. This will give a value between 0 and 1, representing the likelihood of the event occurring.

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