Showing papers on "Resampling published in 1979"

Detection of a treatment effect when not all experimental subjects will respond to treatment.

Abstract: Non-responders attenuate average response an inflate sample variance, reducing the power of standard parametric tests. A new Fisher's type randomization test, which has no parametric analogue, is recommended when not all subjects may be capable of responding to treatment. The new test was evaluated by Monte Carlo means and applied to drug abuse data and to virus titre data. In most trial applications the new test proved to be more sensitive to treatment effects than Student's t.

A Sampled Randomization Test for Examining Single Cells of Behavioural Transition Matrices

Abstract: A Sampled Randomization test for analysing individual cells of behavioural transition matrices is described. The test is compared with two standard procedures by running all three on simulated data. The Randomization test proves roughly as efficient as the X2 test applied to a collapsed matrix; both are more powerful than a test proposed by SLATER & OLLASON (1972). The decisive advantage of the Randomization test lies in its ability to assess the interrelatedness of cell results within a matrix: expected values can be adjusted to show how any mechanism assumed to explain one cell result would affect the rest of the matrix.

Multi-frequency signal receiver

Abstract: A multi-frequency signal receiver, in which the digital input signals having the sampling frequency of 8 KHz or a multiple thereof are resampled at a sampling frequency of 4 KHz by means of a resampling circuit and in which the signals thus resampled are subjected to the band selection by means of a digital filter so that the frequency of the input signals may be identified.