Results 291 to 300 of about 11,468,989 (327)
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2001
In Chapter 4, we have dealt with the initial aspects of statistical analysis of chaos, such as preliminary data analysis and the determination of the embedding dimension. In this chapter, we shall study the statistical analysis of finer structures, such as the correlation dimension, measures of initialvalue sensitivity and map reconstruction.
Kung-Sik Chan, Howell Tong
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In Chapter 4, we have dealt with the initial aspects of statistical analysis of chaos, such as preliminary data analysis and the determination of the embedding dimension. In this chapter, we shall study the statistical analysis of finer structures, such as the correlation dimension, measures of initialvalue sensitivity and map reconstruction.
Kung-Sik Chan, Howell Tong
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Multivariate Statistical Analysis
Psychophysiology, 1973ABSTRACTGeneral multivariate statistical theory and three statistical models (multi‐variate analysis of variance, canonical correlation analysis, and factor analysis) are described. Numerical examples, mathematical notes, an annotated bibliography, and references to computer programs are presented.
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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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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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Current Protocols Essential Laboratory Techniques, 2008
AbstractIn this appendix, we provide an outline of methods used in analyzing biological data. We give a summary of types of data encountered and the appropriate methods to apply for the questions of interest. Statistical techniques described include the t test, the Wilcoxon rank sum test, the Mann‐Whitney‐Wilcoxon test, ANOVA, regression, and the chi ...
John Kloke, Johanna Hardin
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AbstractIn this appendix, we provide an outline of methods used in analyzing biological data. We give a summary of types of data encountered and the appropriate methods to apply for the questions of interest. Statistical techniques described include the t test, the Wilcoxon rank sum test, the Mann‐Whitney‐Wilcoxon test, ANOVA, regression, and the chi ...
John Kloke, Johanna Hardin
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On the statistical analysis of bioassays
Computer Methods and Programs in Biomedicine, 1996In 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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Statistical Analysis of Introgression
Biometrics, 1966SUMMARY 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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Statistical analysis--the future
British Dental Journal, 1989J F, Osborn, J S, Bulman
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