What is a time series measurement?
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A time series measurement is just a measurement that is taken over and over again at different points in time. Usually the times for sampling are uniformly spaced, but they do not have to be. \n\nFor example, if you took the temperature everyday at noon and recorded it for 40 years, that would constitute a time series. And it could be used to look for phenomena that change with time, such as the seasonal cycle.
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In a modern clock, a voltage is applied to a crystal such as quartz.  This causes the molecules in the crystal to vibrate at a fixed frequency.  A sensor then counts the vibrations over time and determines how much time has elapsed.
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Time is currently one of the few fundamental quantities (quantities which cannot be defined via other quantities because there is nothing more fundamental known at present). Thus, similar to definition of other fundamental quantities (like space and mass), time is defined via measurement. Currently, the standard time interval (called conventional second, or simply second) is defined as 9 192 631 770 oscillations of a hyperfine transition in the 133Cs atom.
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You might be looking for Regression analysis.\nThis is the statistical technique used to look for correlations between variables.
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Tachymeters measure speed. You time how long it took you to run a certain distance or do some given task and that is how fast you did it.
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to see the production levels over a certain period of time
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time average means sum of hte probability density over a certain time interval divided by the time interval. and it will be a function of position since the wave function is a function of position AND time.\nso u have W(x,t) where W is the wave function and x is position t is time. you integrate it with respect to time from a starting time to an ending time (not that hard, its just integral of e^-iwt, i think) and then divide by the time interval. and ya. i dunno.\n\nhope that helps. let meknow if u need more help. later
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It is called the equation of time. It isn't really statistics though.
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A hidden Markov model is a statistical model where the system being modeled is assumed to be a Markov process with unknown parameters.\n\nAn example *might* be the weather. We can measure temperature, windspeed, amount of rain, etc. and used these series of measurements to predict the next days weather. This assumes that tomorrows values depends on what happened today, or more generally on the past in a relatively simple way.
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Distance=rate*time\n\nJust plug in what you know and solve for what you're missing.
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distance= rate*time\ntime= distance/rate
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you can do simple time series regression in Microsoft Excel
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to move back and forth from the frequency to the time domain
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Do you mean Fourier transform? \n\nIt's based on the idea that all signals are composed of simple sinusoidal signals at different frequencies.  The fourier transform converts a signal from time-domain, to frequency-domain. So when you go to graph the signal, instead of seeing the strength of the signal vs. time (time domain), you see it in terms of frequency (frequency domain). The Fourier transform provides an easy way to convert a time-domain signal into frequency domain, and vice-versa.\n\nThis is really nice when you want to see what parts of a signal will pass through a filter, or seeing what happens to your signal after a frequency shift, or checking sampling rates, etc.,etc.
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(m)\n\nBusiness statistics is the science of good decision making in the face of uncertainty and is used in many disciplines such as financial analysis, econometrics, auditing, production and operations including services improvement, and marketing research. These sources feature regular repetitive publication of series of data. This makes the topic of time series especially important for business statistics. It is also a branch of applied statistics working mostly on data collected as a by-product of doing business or by government agencies. It provides knowledge and skills to interpret and use statistical techniques in a variety of business applications. A typical business statistics course is intended for business majors, and covers statistical study, descriptive statistics (collection, description, analysis, and summary of data), probability, and the binomial and normal distributions, test of hypotheses and confidence intervals, linear regression, and correlation.
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Consider the case of a uniformly sampled signal x(t). \n\nPower spectral density is a statistic that describes how the energy E of the signal x(t); t=0,1,2,...N-1 defined as \n\nE={sum over t} <|x(t)|^2> is distributed with frequency f. \n\nx(t)= {integral from -.5 to .5 } dZ(f)\n\nwhere dZ(f) is a stochastic measure, and \n\n<dZ(f) dZ*(f)>=S(f)df \n\nwhere S(f) is the power spectral density.
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The word you're looking for is "measured"..?