Biometry
Autor Robert R. Sokal, F. James Rohlfen Limba Engleză Hardback – 24 mai 2012
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Specificații
ISBN-13: 9780716786047
ISBN-10: 0716786044
Pagini: 937
Ilustrații: 250 Illustrations
Dimensiuni: 160 x 236 x 48 mm
Greutate: 1.47 kg
Ediția:Revizuită
Editura: W. H. Freeman and Company
Colecția W. H. Freeman
Locul publicării:New York, United States
ISBN-10: 0716786044
Pagini: 937
Ilustrații: 250 Illustrations
Dimensiuni: 160 x 236 x 48 mm
Greutate: 1.47 kg
Ediția:Revizuită
Editura: W. H. Freeman and Company
Colecția W. H. Freeman
Locul publicării:New York, United States
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Cuprins
1. Introduction
2. Data in Biology
3. Computers and Data Analysis
4. Descriptive Statistics
5. Introduction to Probability Distributions
6. The Normal Probability Distribution
7. Hypothesis Testing and Interval Estimation
8. Introduction to Analysis of Variance
9. Single-Classification Analysis of Variance
10. Nested Analysis of Variance
11. Two-Way and Multiway Analysis of Variance
12. Statistical Power and Sample Size in the Analysis of Variance
13. Assumptions of Analysis of Variance
14. Linear Regression
15. Correlation
16. Multiple and Curvilinear Regression
17. Analysis of Frequencies
18. Meta-Analysis and Miscellaneous Methods
2. Data in Biology
3. Computers and Data Analysis
4. Descriptive Statistics
5. Introduction to Probability Distributions
6. The Normal Probability Distribution
7. Hypothesis Testing and Interval Estimation
8. Introduction to Analysis of Variance
9. Single-Classification Analysis of Variance
10. Nested Analysis of Variance
11. Two-Way and Multiway Analysis of Variance
12. Statistical Power and Sample Size in the Analysis of Variance
13. Assumptions of Analysis of Variance
14. Linear Regression
15. Correlation
16. Multiple and Curvilinear Regression
17. Analysis of Frequencies
18. Meta-Analysis and Miscellaneous Methods
Notă biografică
Robert R. Sokal is a Distinguished Professor Emeritus at Stony Brook University. A native of Vienna, Austria, he attended college in Shanghai, China, and obtained his Ph.D. from the University of Chicago. In both his research, which has ranged over a diverse group of topics, and his teaching, which spans almost a half-century, Dr. Sokal has always promoted the use of statistics in biology. He is a fellow of the American Academy of Arts and Sciences and of the American Association for the Advancement of Science, and has been awarded the Charles Darwin Lifetime Achievement Award in Physical Anthropology.
F. James Rohlf is the John S. Toll Professor at Stony Brook University and a member of the New York Consortium in Evolutionary Primatology. He received his Ph.D. degree from the University of Kansas in 1962. Dr. Rohlf's research has focused on the development and interpretation of multivariate methods in biology, and he has extensive teaching experience in multivariate statistics, geometric morphometrics, and graduate-level biometry.
F. James Rohlf is the John S. Toll Professor at Stony Brook University and a member of the New York Consortium in Evolutionary Primatology. He received his Ph.D. degree from the University of Kansas in 1962. Dr. Rohlf's research has focused on the development and interpretation of multivariate methods in biology, and he has extensive teaching experience in multivariate statistics, geometric morphometrics, and graduate-level biometry.
Caracteristici
Thoroughly updated and expanded
Computer calculations throughout, all hand calculations removed
Extraordinary breadth of coverage and range of examples
Fully detailed explanations and problem solutions
Computer calculations throughout, all hand calculations removed
Extraordinary breadth of coverage and range of examples
Fully detailed explanations and problem solutions
Caracteristici noi
An Increased Focus on Computer-Based Statistical Methods
Computational formulas have also been replaced throughout with simpler structural formulas for ease of understanding.
Matrix methods
Matrix methods are introduced in new sections on multiple regression, general linear models, ancova, and curvilinear regression. A new appendix on matrix algebra is also included.
New Chapter on Statistical Power and Sample Size Estimation
The new edition features a new chapter that covers statistical power, measures of effect size, and the estimation of sample size required for tests and for confidence limits.
Up-to-Date Coverage of Key Developments in Biostatistics
This edition includes the most up-to-date coverage of key topics such as meta-analysis and trends in the discipline such as the use of resampling methods.
Computational formulas have also been replaced throughout with simpler structural formulas for ease of understanding.
Matrix methods
Matrix methods are introduced in new sections on multiple regression, general linear models, ancova, and curvilinear regression. A new appendix on matrix algebra is also included.
New Chapter on Statistical Power and Sample Size Estimation
The new edition features a new chapter that covers statistical power, measures of effect size, and the estimation of sample size required for tests and for confidence limits.
Up-to-Date Coverage of Key Developments in Biostatistics
This edition includes the most up-to-date coverage of key topics such as meta-analysis and trends in the discipline such as the use of resampling methods.
Descriere
This easily understood but rigorous introduction to biological statistics is a standard text and valuable reference for anyone doing scientific research. The fourth edition has been thoroughly revised and updated using computer calculations and the authors have expanded on important modern topics.