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Temporal experience in depressed patientsWyrick, Richard Arthur, 1944- January 1971 (has links)
No description available.
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The effect of forced guidance, massed practice, distributed practice and bisensory training on sequential information processingDecker, Larry Raymond, 1941- January 1971 (has links)
No description available.
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273 |
Reflex eyeblink latency as a function of stimulus intensityBixler, Edward Oren, 1937- January 1965 (has links)
No description available.
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274 |
The design of a time sharing computer system using Iverson notationReiner, Robert Elmer, 1942- January 1970 (has links)
No description available.
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275 |
Electronic methods for recording a clock timing signal on a magnetic drumWarner, Glen Eugene, 1935- January 1962 (has links)
No description available.
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276 |
The intensity-time relation of a stimulus in simple visual reaction timePease, Victor Phillip, 1938- January 1963 (has links)
No description available.
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277 |
A reaction time measure of picture-word transferArthur, Louise Marie, 1949- January 1973 (has links)
No description available.
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278 |
Relationship of embedded figure perception and choice reaction timeMaines, Jane Ellen, 1950- January 1974 (has links)
No description available.
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279 |
Human reaction time in relationship to phasic occurences in the heart and respiratory cyclesShisslak, Catherine Mary, 1950- January 1975 (has links)
No description available.
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Time series exponential models: theory and methodsHolan, Scott Harold 30 September 2004 (has links)
The exponential model of Bloomfield (1973) is becoming increasingly important due to its recent applications to long memory time series. However, this model has received little consideration in the context of short memory time series. Furthermore, there has been very little attempt at using the EXP model as a model to analyze observed time series data. This dissertation research is largely focused on developing new methods to improve the utility and robustness of the EXP model. Specifically, a new nonparametric method of parameter estimation is developed using wavelets. The advantage of this method is that, for many spectra, the resulting parameter estimates are less susceptible to biases associated with methods of parameter estimation based directly on the raw periodogram. Additionally, several methods are developed for the validation of spectral models. These methods test the hypothesis that the estimated model provides a whitening transformation of the spectrum; this is equivalent to the time domain notion of producing a model whose residuals behave like the residuals of white noise. The results of simulation and real data analysis are presented to illustrate these methods.
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