What are intrinsic, systematic and random errors?
486571
I can do two - \n\nSystematic: inaccuracies which persist throughout the entire experiment as a result of methodology.\n\nRandom: statistical fluctuations in the measured data due to the precision limitations of the measurement device.\n\nI'll get back to ya on the other one...
253132
Give the brief description about the problem\n\nMicrosoft doesn't always include descriptive error messages within its code. (that would be too easy) Instead you'll see STOP errors, numeric codes, and other cryptic messages that will leave you scratching your head. \nCheck the messages of our group\nhttp://groups.yahoo.com/group/prithvionline
658342
There are two that I've seen used:\n\n-margin for error\n-probability curves (discrete or continuous)
10650
Just compile it and see what the errors are. Sheesh!
1129742
Well, what do you mean errors? I've give you a list of where to find a good list of free software for a good amount of pc problems.\n\nGeneral - PC Mechanic (can be downloaded as a trial for free at www.download.com)\nVirus - Trend Micro Housecall (can be gotten free at www.pcworld.com/52516).\nSpyware - Adaware SE Personal Edition (can be gotten for free at www.lavasoftusa.com/software/adaware).\nPC Clutter (for cleaning out all cookies, .tmps, all uneeded files) - CCleaner (can be gotten for free at www.pcworld.com/52516).\nFirewall - ZoneAlarm Free Edition (can be gotten for free at www.pcworld.com/52516)
820314
Standard error is standard deviation divided by n^1/2. In other words, it estimates the standard deviation of the sample mean _based on the population mean_.
1084329
It depends on the cause of the inaccuracy.  There are 3 different types of errors that could create inaccuracy:  1) precision error - this is usually half of the divisions of the measuring device. For example, a stopwatch that measures to the nearest second has a precision error of +/- 0.5 seconds. A stopwatch that measures to the nearest tenth of a second has a precision error of +/- 0.05 seconds.  The precision error for the particular device will always be the same, no matter if you measure 1 second, 1 minute, 1 hour, 5 hours, or 24 hours.  2) random errors - these errors will be different each time you make a measurement. Human measuring inaccuracy usually is random. For example, the inaccuracy of starting the stopwatch and stopping the stopwatch when timing a race would be a random error. Again, these random errors will probably be about the same regardless of whether you are timing a 1 minute event, a 1 hour event, a 5 hour event, or a 24 hour event. 3) systematic errors - these are errors caused by the device or the measurement procedure, and are not random.  These errors may be either proportional to the quantity being measured, or they may be constant.  Example: an old analog spring bathroom scale that is not "zeroed" may be exactly 2 pounds off (in which case the error will not change regardless of how much weight is being measured) or the scale's spring may be calibrated wrong, in which case the error will be proportional to the weight placed on it.\n\nWithout knowing the type of error that contributes to the +/- 2.33 second inaccuracy over 24 hours, one really cannot say if the stopwatch would also be inaccurate by +/- 2.33 seconds when measuring 5 hours (for example, if it were a random error) or if the stopwatch would be inaccurate by 5/24 of +/- 2.33 seconds (for example, a systematic error that increased with the measured quantity).
411263
AC or DC\n\nany phase differences\n\ndependent sources\n\nlinear or non linear elements\n\napplicability of theorems\n\nbilateral or not\n\nhomogeneity
495097
Random errors are statistical fluctuations (in either direction) in the measured data due to the precision limitations of the measurement device. Random errors usually result from the experimenter's inability to take the same measurement in exactly the same way to get exact the same number.
352249
This integral does exist (it can be evaluated for any endpoints you choose). Since it cannot be represented as a finite combination of elementary functions and operations, it is given its own name, the error function. Many integrals like this have their own names and are quite useful in applied mathematics. See http://mathworld.wolfram.com/Erf.html .\nTo say that it does not exist is unrigorous.
167220
more details are needed. Lke what error do you get?
819203
Tracking error is the deviation of a funds returns from its benchmark.  Information ratio, when taken over several time periods, demonstrates is the managers ability to beat the benchmark is improving or decreasing.  This really differs from alpha in the sense that alpha is showing the risk adjusted return.
380269
Probably a divide by zero error.
830076
you can't really "catch" them per se, as they are really not errors, unlike floating point overflows. \nYou can do some sanity checks like the above answer explained...\nor better, just use larger storage - like unsigned long long - that'll give you more space without overflowing.
233608
Windows errors require a little bit of programming knowledge. You can generally google specific error. Or if you have error number go to \n\nhttp://www.microsoft.com/technet/support/ee/ee_advanced.aspx
87308
CRC error = Cyclic Redundancy Check Error.\n\nIt is a key element of error detection in data and communication systems. CRC bytes are stored along with data packets and this is computed based on the content of the data packet before transmission. The receiver does the same computation on the received packet and compares the CRC bytes. If the CRC bytes are not equal, we have a CRC error.\n\nFor more technical info: http://en.wikipedia.org/wiki/Cyclic_redundancy_check
750159
Type 1 error:\n\nRejection of a true hypothesis\n\nType 2 error:\n\nFailure to reject a false hypothesis