Introduction to Biometry

Jolicoeur, Pierre

Introduction to Biometry

Pierre Jolicoeur
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Pierre Jolicoeur: University of Montreal, Department of Biological Science

in Springer Books from Springer

Date: 1999
ISBN: 978-1-4615-4777-8
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Chapters in this book:

Introduction: Pierre Jolicoeur
Looking at quantitative biological data through scatter diagrams: Pierre Jolicoeur
Samples and populations, estimates and parameters: Pierre Jolicoeur
Frequencies and probabilities: Pierre Jolicoeur
Measures of central tendency and of dispersion: Pierre Jolicoeur
The normal distribution: Pierre Jolicoeur
The distribution of Student’s t: Pierre Jolicoeur
The distribution of χ 2 (chi squared): Pierre Jolicoeur
The distribution of the variance ratio, F = S 1 2 /S 2 2: Pierre Jolicoeur
Hypothesis testing and confidence intervals concerning one or two means: Pierre Jolicoeur
Hypothesis testing and confidence intervals concerning one variance: Pierre Jolicoeur
Hypothesis testing and confidence intervals concerning a variance ratio: Pierre Jolicoeur
The analysis of variance or “ANOVA” (one-way, type I): Pierre Jolicoeur
The skewness and peakedness indices, g 1 and g2: Pierre Jolicoeur
The lognormal distribution: Pierre Jolicoeur
Testing hypotheses concerning frequency tables using the χ 2 distribution: Pierre Jolicoeur
Tests of goodness of fit: Pierre Jolicoeur
The binomial distribution: Pierre Jolicoeur
The Poisson distribution: Pierre Jolicoeur
The bivariate normal distribution and the correlation coefficient, r: Pierre Jolicoeur
Estimation lines (the so-called “regression” lines): Pierre Jolicoeur
The analysis of covariance or “ANCOVA”: comparing estimation lines: Pierre Jolicoeur
The orthogonal estimation line or major axis: Pierre Jolicoeur
The trivariate normal distribution: partial and multiple correlations and regressions: Pierre Jolicoeur
Elementary linear calculations (vectors and matrices): Pierre Jolicoeur
Partial and multiple correlations and regressions: matrix calculations: Pierre Jolicoeur
One-way type I analysis of variance with contrasts: Pierre Jolicoeur
One-way type II analysis of variance with variance components: Pierre Jolicoeur
Two-way type I analysis of variance with interaction: Pierre Jolicoeur
The multivariate normal distribution: Pierre Jolicoeur
The distribution of Hotelling’sT 2: Pierre Jolicoeur
Principal components or principal axes: Pierre Jolicoeur
Fisher’s linear discriminant function: Pierre Jolicoeur
Multiple discriminant analysis: Pierre Jolicoeur
Canonical correlations: Pierre Jolicoeur
Growth curves and other nonlinear relationships: Pierre Jolicoeur

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DOI: 10.1007/978-1-4615-4777-8

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