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Introduction to Biometry

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Cover of 'Introduction to Biometry'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Looking at quantitative biological data through scatter diagrams
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    Chapter 3 Samples and populations, estimates and parameters
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    Chapter 4 Frequencies and probabilities
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    Chapter 5 Measures of central tendency and of dispersion
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    Chapter 6 The normal distribution
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    Chapter 7 The distribution of Student’s t
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    Chapter 8 The distribution of χ 2 (chi squared)
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    Chapter 9 The distribution of the variance ratio, F = S 1 2 /S 2 2
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    Chapter 10 Hypothesis testing and confidence intervals concerning one or two means
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    Chapter 11 Hypothesis testing and confidence intervals concerning one variance
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    Chapter 12 Hypothesis testing and confidence intervals concerning a variance ratio
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    Chapter 13 The analysis of variance or “ANOVA” (one-way, type I)
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    Chapter 14 The skewness and peakedness indices, g 1 and g 2
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    Chapter 15 The lognormal distribution
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    Chapter 16 Testing hypotheses concerning frequency tables using the χ 2 distribution
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    Chapter 17 Tests of goodness of fit
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    Chapter 18 The binomial distribution
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    Chapter 19 The Poisson distribution
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    Chapter 20 The bivariate normal distribution and the correlation coefficient, r
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    Chapter 21 Estimation lines (the so-called “regression” lines)
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    Chapter 22 The analysis of covariance or “ANCOVA”: comparing estimation lines
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    Chapter 23 The orthogonal estimation line or major axis
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    Chapter 24 The trivariate normal distribution: partial and multiple correlations and regressions
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    Chapter 25 Elementary linear calculations (vectors and matrices)
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    Chapter 26 Partial and multiple correlations and regressions: matrix calculations
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    Chapter 27 One-way type I analysis of variance with contrasts
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    Chapter 28 One-way type II analysis of variance with variance components
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    Chapter 29 Two-way type I analysis of variance with interaction
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    Chapter 30 The multivariate normal distribution
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    Chapter 31 The distribution of Hotelling’s T 2
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    Chapter 32 Principal components or principal axes
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    Chapter 33 Fisher’s linear discriminant function
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    Chapter 34 Multiple discriminant analysis
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    Chapter 35 Canonical correlations
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    Chapter 36 Growth curves and other nonlinear relationships
Attention for Chapter 2: Looking at quantitative biological data through scatter diagrams
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Chapter title
Looking at quantitative biological data through scatter diagrams
Chapter number 2
Book title
Introduction to Biometry
Published by
Springer, Boston, MA, January 1999
DOI 10.1007/978-1-4615-4777-8_2
Book ISBNs
978-1-4613-7163-2, 978-1-4615-4777-8
Authors

Pierre Jolicoeur, Jolicoeur, Pierre