Results 221 to 230 of about 5,533,553 (249)
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The statistical analysis of kappa statistics in multiple samples

Journal of Clinical Epidemiology, 1996
Methods are presented for assessing and comparing the results of k > or = 2 independent samples of measured agreement or concordance, where in each sample a given member of a pair of observations is classified according to the presence or absence of a binary trait.
A, Donner, N, Klar
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Statistical Analysis of Multilocus Recombination

Biometrics, 1983
A general formula for the frequency of different recombinant gamete types, in terms of the underlying distribution of crossovers, is derived. This formula may be applied to any theoretical model of recombination in which it is assumed that there is no chromatid interference.
Risch, N., Lange, K.
openaire   +2 more sources

DNA | Statistical Analysis

2005
Deoxyribonucleic acid (DNA) profiling has become a very powerful method for forensic human identification, and statistics plays an important role in assessing the uncertainty in identification and evaluating the weight of DNA evidence. Statistical calculation of match probabilities for various single-source problems, paternity index for differentiating
Hu, YQ, Fung, TWK
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DIFFERENTIAL SHAPE STATISTICAL ANALYSIS

International Journal of Wavelets, Multiresolution and Information Processing, 2007
A novel statistical approach that involves differential shape is proposed to analyze contour segments. First, a moment-based algorithm to represent the differential contour segment in an efficient way is introduced. Then, a curvature mean-shift method is adopted to search for the salient features.
Yufeng Chen   +3 more
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Statistical Analysis of Introgression

Biometrics, 1966
SUMMARY Measurements of introgression may be made on scales established by principal components, canonical correlation vectors, discriminant functions, hybrid indices, and a proposed distance analysis. The distance analysis developed is the most sensitive scale used.
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On the statistical analysis of bioassays

Computer Methods and Programs in Biomedicine, 1996
In an earlier work, Wong had developed a SAS program SLOPE for the analysis of biological assays in complete randomization design based on slope ratio method. In this paper, we discuss how to develop SAS programs to handle the statistical analysis for parallel line assays and assays based on quantal responses. These programs are capable of checking the
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Probability and Statistical Analysis.

Journal of the American Statistical Association, 1973
James Ramsey   +2 more
openaire   +1 more source

Statistical Analysis

2019
Minnebo, Jurgen, Cambré, Bart
openaire   +2 more sources

Statistical analysis--the future

British Dental Journal, 1989
J F, Osborn, J S, Bulman
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Purpose of Statistical Analysis

American Journal of Rhinology & Allergy, 2014
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