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Registro Completo |
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Biblioteca(s): |
Embrapa Agrobiologia. |
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Data corrente: |
22/07/1997 |
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Data da última atualização: |
11/09/2009 |
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Autoria: |
SOKAL, R. R.; ROHLF, F. J. |
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Título: |
Biometry: the principles and practice of statistics in biology research. |
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Edição: |
3. ed. |
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Ano de publicação: |
1995 |
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Fonte/Imprenta: |
New York: W.H.Freeman Company, 1995. |
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Páginas: |
887 p. |
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ISBN: |
0-7167-2411-1 |
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Idioma: |
Inglês |
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Conteúdo: |
Some Definitions. The development of biometry. The statistical frame of mind. Data in biology. Samples and populations. Variables in biology. Accuracy and precision of data. Derived variables. Frequency distribuitions. The handling of data. Computers. Software. Efficiency and economy in data processing. Descriptive statistics. The arithmetic mean. Other means. The median. The mode. The range. The standard deviation.Sample statistics and parametrs. Coding data before computation. Computing means and standard deviations. The coefficient of variation. Introduction to probability distribution: Binomial and poison. probability, random sampling, and hypothesis testing. the binomial distribuition. The poisson distribuition. Other discrete probability distributions. The normal probability distribuition. Estimation and hypothesis testing. introduction to the analysis of variance. Single-classification analysis of variance. Nested analysis of variance. Two-way analysis of variance. Multiway analysis of variance. Assumptions of analysis of variance. A fundamental assumption. Independence. Homogeneity of variances. Normality. Additivity. Transformations. The logarithmic, the square-root, the box-cox and the arcsine transformation. Nonparametric methods in lieu of single-classification anovas and two-way anova. Linear regression. Correlation. Multiple and curvilinear regression. Analysis of frequencies. Miscellaneous methods. Mathematical proofs. |
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Palavras-Chave: |
Biology; Metodos. |
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Thesagro: |
Biologia; Biometria; Estatística; Pesquisa. |
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Thesaurus Nal: |
biometry; research; statistical analysis. |
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Categoria do assunto: |
-- |
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Marc: |
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100 1 $aSOKAL, R. R.
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250 $a3. ed.
260 $aNew York: W.H.Freeman Company$c1995
300 $a887 p.
520 $aSome Definitions. The development of biometry. The statistical frame of mind. Data in biology. Samples and populations. Variables in biology. Accuracy and precision of data. Derived variables. Frequency distribuitions. The handling of data. Computers. Software. Efficiency and economy in data processing. Descriptive statistics. The arithmetic mean. Other means. The median. The mode. The range. The standard deviation.Sample statistics and parametrs. Coding data before computation. Computing means and standard deviations. The coefficient of variation. Introduction to probability distribution: Binomial and poison. probability, random sampling, and hypothesis testing. the binomial distribuition. The poisson distribuition. Other discrete probability distributions. The normal probability distribuition. Estimation and hypothesis testing. introduction to the analysis of variance. Single-classification analysis of variance. Nested analysis of variance. Two-way analysis of variance. Multiway analysis of variance. Assumptions of analysis of variance. A fundamental assumption. Independence. Homogeneity of variances. Normality. Additivity. Transformations. The logarithmic, the square-root, the box-cox and the arcsine transformation. Nonparametric methods in lieu of single-classification anovas and two-way anova. Linear regression. Correlation. Multiple and curvilinear regression. Analysis of frequencies. Miscellaneous methods. Mathematical proofs.
650 $abiometry
650 $aresearch
650 $astatistical analysis
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650 $aPesquisa
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653 $aMetodos
700 1 $aROHLF, F. J.
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Registro original: |
Embrapa Agrobiologia (CNPAB) |
