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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
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Title
Introduction to Biometry
Published by
Springer US, December 2012
DOI 10.1007/978-1-4615-4777-8
ISBNs
978-1-4613-7163-2, 978-1-4615-4777-8
Authors

Jolicoeur, Pierre

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 5%
Sweden 1 3%
Portugal 1 3%
United Kingdom 1 3%
Canada 1 3%
United States 1 3%
Unknown 33 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 20%
Student > Ph. D. Student 7 18%
Student > Master 7 18%
Professor 6 15%
Professor > Associate Professor 5 13%
Other 6 15%
Unknown 1 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 57%
Environmental Science 8 20%
Social Sciences 2 5%
Chemistry 1 3%
Unknown 6 15%