By having proper preventive maintenance (pm).
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"Mean time to failure" is just what it says: the "Time to Failure" is the length of time from putting something into service (a new automobile, a tooth implant, quitting smoking) until that something fails (the car breaks down, the implant falls out, you light up again). Try this a bunch of times, putting identical things into service all under the same conditions and recording the times to failure, and then take the "mean" of those times (you may know "mean" as "average": add the times to failure up and divide by how many were tested). That's the "mean time to failure". The trick is to make the things and the their service conditions "identical", and to test enough of the things to get good statistics. But that's another question.
Mean Time to Repair and Mean Time Between Failure:They are Maintenance and Reliability predictors.
Time and Space
If repeated samples are taken from a population, then they will not have the same mean each time. The mean itself will have some distribution. This will have the same mean as the population mean and the standard deviation of this statistic is the standard deviation of the mean.
sampling time is the number of samples per second taken from a continuous signal to make it discrete and holding time is the time between two samples..