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140122  eng 
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a 9781461547778

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a Jolicoeur, Pierre

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a Introduction to Biometry
h Elektronische Ressource
c by Pierre Jolicoeur

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a 1st ed. 1999

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a New York, NY
b Springer US
c 1999, 1999

300 


a X, 517 p
b online resource

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0 

a 1 Looking at quantitative biological data through scatter diagrams  2 Samples and populations, estimates and parameters  3 Frequencies and probabilities  4 Measures of central tendency and of dispersion  5 The normal distribution  6 The distribution of Student’st  7 The distribution of?2(chi squared)  8 The distribution of the variance ratio, F = S12/S12  9 Hypotheses and confidence intervals concerning one or two means  10 Hypotheses and confidence intervals concerning one variance  11 Hypotheses and confidence intervals concerning a variance ratio  12 The analysis of variance or “ANOVA” (oneway, type I)  13 The skewness and peakedness indicesg1andg2  14 The lognormal distribution  15 Testing hypotheses concerning frequency tables using the X2 distribution  16 Tests of goodness of fit  17 The binomial distribution  18 The Poisson distribution  19 The bivariate normal distribution and the correlation coefficient, r 

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a 20 Estimation lines (the socalled “regression” lines)  21 The analysis of covariance or “ANCOVA”: comparing estimation lines  22 The orthogonal estimation line or major axis  23 The trivariate normal distribution: partial and multiple correlations and regressions  24 Elementary linear calculations (vectors and matrices)  25 Partial and multiple correlations and regressions: matrix calculations  26 Oneway type I analysis of variance with contrasts  27 Oneway type II analysis of variance with variance components  28 Twoway type I analysis of variance with interaction  29 The multivariate normal distribution  30 The distribution of Hotelling’sT2  31 Principal components orprincipal axes  32 Fisher’s linear discriminant function  33 Multiple discriminant analysis  34 Canonical correlations  35 Growthcurves and other nonlinear relationships  Appendices  The statistical tables most frequently used in biometry 

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a The standardized normal distribution  The distribution of x (chi squared)  Detailed table of contents  Author index

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a Medical Genetics

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a Statistics

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a Probability Theory

653 


a Medical genetics

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a Epidemiology

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a Statistics

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a Probabilities

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7 
a eng
2 ISO 6392

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b SBA
a Springer Book Archives 2004

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a 10.1007/9781461547778

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u https://doi.org/10.1007/9781461547778?nosfx=y
x Verlag
3 Volltext

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a 519.2

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a Statistical methods are becoming more important in all biological fields of study. Biometry deals with the application of mathematical techniques to the quantitative study of varying characteristics of organisms, populations, species, etc. This book uses examples based on genuine data carefully chosen by the author for their special biological significance. The chapters cover a broad spectrum of topics and bridge the gap between introductory biological statistics and advanced approaches such as multivariate techniques and nonlinear models. A set of statistical tables most frequently used in biometry completes the book
