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The analysis of biological data / Michael C. Whitlock and Dolph Schluter.

Por: Colaborador(es): Idioma: Español Editor: Greenwood Village, CO : Roberts and Company Publishers, ©2015Edición: Second editionDescripción: xxxiii, 818 pages : illustrations (some color) ; 25 cmTipo de contenido:
  • text
Tipo de medio:
  • unmediated
Tipo de soporte:
  • volume
ISBN:
  • 9781936221486 (hbk.)
  • 1936221489 (hbk.)
Tema(s): Clasificación LoC:
  • QH323.5 .W48 2015
Contenidos:
Statistics and samples -- Displaying data -- Describing data -- Estimating with uncertainty -- Probability -- Hypothesis testing -- Analyzing proportions -- Fitting probability models to frequency data -- Contingency analysis : associations between categorical variables -- The normal distributions -- Inference for a normal population -- Comparing two means -- Handling violations of assumptions -- Designing experiments -- Comparing means of more than two groups -- Correlation between numerical variables -- Regression -- Multiple explanatory variables -- Computer-intensive methods -- Likelihood -- Meta-analysis : combining information from multiple studies.
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Descripciones mejoradas de Syndetics:

Learn the modern methods of statistics through the use of fascinating biological and medical cases as Analysis of Biological Data guides you through statistical methods one step at a time by providing a hefty amount of examples from medical and human health research.

Includes bibliographical references (pages 725-746) and index.

Statistics and samples -- Displaying data -- Describing data -- Estimating with uncertainty -- Probability -- Hypothesis testing -- Analyzing proportions -- Fitting probability models to frequency data -- Contingency analysis : associations between categorical variables -- The normal distributions -- Inference for a normal population -- Comparing two means -- Handling violations of assumptions -- Designing experiments -- Comparing means of more than two groups -- Correlation between numerical variables -- Regression -- Multiple explanatory variables -- Computer-intensive methods -- Likelihood -- Meta-analysis : combining information from multiple studies.

Tabla de contenidos provista por Syndetics

  • Part 1 Introduction To Statistics
  • 1 Statistics and samples
  • Interleaf 1 Biology and the history of statistics
  • 2 Displaying data
  • 3 Describing data
  • 4 Estimating with uncertainty
  • Interleaf 2 Pseudoreplication
  • 5 Probability
  • 6 Hypothesis testing
  • Interleaf 3 Why statistical significance is not the same as biological importance
  • Part 2 Proportions and Frequencies
  • 7 Analyzing proportions
  • Interleaf 4 Correlation does not require causation
  • 8 Fitting probability models to frequency data
  • Interleaf 5 Making a plan
  • 9 Contingency analysis: associations between categorical variables
  • Part 3 Comparing Numerical Values
  • 10 The normal distribution
  • Interleaf 6 Controls in medical studies
  • 11 Inference for a normal population
  • 12 Comparing two means
  • Interleaf 7 Which test should I use?
  • 13 Handling violations of assumptions
  • 14 Designing experiments
  • Interleaf 8 Data dredging
  • 15 Comparing means of more than two groups
  • Interleaf 9 Experimental and statistical mistakes
  • Part 4 Regression And Correlation
  • 16 Correlation between numerical variables
  • Interleaf 10 Publication bias
  • 17 Regression
  • Interleaf 11 Using species as data points
  • Part 5 Modern Statistical Methods
  • 18 Multiple explanatory variables
  • 19 Computer-intensive methods
  • 20 Likelihood
  • 21 Meta-analysis: combining information from multiple studies

Notas de autor provistas por Syndetics

Michael Whitlock is an evolutionary biologist and population geneticist. He is a professor of zoology at the University of British Columbia, where he has taught statistics to biology students since 1995. Whitlock is known for his work on the spatial structure of biological populations, genetic drift, and the genetics of adaptation. He has worked with fungus beetles, rhinos, and fruit flies; mathematical theory; and statistical genetics. He is a fellow of the American Academy of Arts and Sciences and a fellow of the American Association for the Advancement of Science. He is also the former editor-in-chief of The American Naturalist .

Dolph Schluter is professor and Canada Research Chair in the zoology department and Biodiversity Research Center at the University of British Columbia. He currently teaches evolutionary ecology as well as a graduate course in biological data analysis. Schluter is known for his research on adaptive radiation--the evolution of ecological diversity in groups of organisms that are multiplying rapidly--and on the evolution of major biodiversity gradients. His initial studies were carried out on Darwin's finches in the Galápagos Islands, followed by work on seed-eating birds in other parts of the world. Recently he has carried out studies of competition, adaptation, and the origin of species in threespine stickleback inhabiting lakes of coastal British Columbia, Canada, and the genetic basis of species differences. He is a fellow of the Royal Society of London and the Royal Society of Canada and is a Foreign Member of the American Academy of Arts and Sciences. He has received multiple honors including the Guggenheim Fellowship, The Sewall Wright Award from the American Society of Naturalists, the Killam Fellowship from the Canada Council, and the Darwin-Wallace Medal from the Linnean Society of London. He is a past president of the Society for the Study of Evolution and the American Society of Naturalists. His other books include The Ecology of Adaptive Radiation (2000).

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