By Panos Z. Marmarelis M.D., Ph.D., Vasilis Z. Marmarelis (auth.)

ISBN-10: 1461339707

ISBN-13: 9781461339700

ISBN-10: 1461339723

ISBN-13: 9781461339724

In learning physiological platforms bioscientists are always confronted with the matter of supplying descriptions of cause-effect relationships. This job is mostly performed in the course of the functionality of stimulus-response experiments. some time past, the layout of such experiments has been advert hoc, incomplete, and positively inefficient. Worse but, bioscientists have didn't benefit from advances in fields at once concerning their difficulties (specifically, advances within the sector of structures analysis). The raison d'etre of this e-book is to rectify this deficiency by means of offering the physiologist with methodological instruments that might be priceless to her or him in daily labora­ tory encounters with physiological platforms. The e-book used to be written in order that it'd be useful, worthy, and up-to­ date. With this in brain, elements of it supply step by step descriptions of within the laboratory. it's was hoping that this systematic techniques to be increases the usefulness of the ebook to the typical study physiologist and, probably, decrease the necessity for in-depth wisdom of a few of the linked arithmetic. even supposing the cloth bargains with state-of-the­ paintings innovations in structures and sign research, the mathematical point has been saved low with a view to be understandable to the typical physiologist with out wide education in arithmetic. To this finish, mathematical rigor is frequently sacrificed quite simply to intuitive uncomplicated arguments.

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Extra info for Analysis of Physiological Systems: The White-Noise Approach

Example text

2. Confidence Interval of Estimates As we discussed, the estimate of a parameter of correlation function can itself be though of as a random variable. Its variance gives us a measure of how good the estimate is. Therefore, it seems more reasonable, instead of giving a single value as the estimate, to give a range (interval) within which the true parameter value wi11lie with a given degree of confidence. That is, a probability statement will be made about the degree of certainty with which the true parameter value lies within a specified range.

If we think of x(t) as the sum of sine waves of all frequencies, such as wo, we see that xAw) computed as the FT of the autocorrelation

141) where a is a measure of the risk we assume by determining a confidence interval and possibly having the true value JL lying outside of it. 143) that is, a probability statement can be made about the certainty with which we can expect the estimate of mean within a certain interval. Rearranging Eq. 95). , S,M1/2. The quantity Im;a/2 is chosen to conform with our choice of degree of confidence-usually 90%,95%, or 99%. We summarize here the successive computational steps required for the determination of the confidence interval of any kind of estimate resulting from a set of sample values.

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Analysis of Physiological Systems: The White-Noise Approach by Panos Z. Marmarelis M.D., Ph.D., Vasilis Z. Marmarelis (auth.)


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