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Viser: Practical Statistics for Field Biology

Practical Statistics for Field Biology, 2. udgave
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Practical Statistics for Field Biology Vital Source e-bog

Jim Fowler, Lou Cohen og Phil Jarvis
(1998)
John Wiley & Sons
253,00 kr. 227,70 kr.
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Practical Statistics for Field Biology, 2. udgave
Søgbar e-bog

Practical Statistics for Field Biology Vital Source e-bog

Jim Fowler
(2013)
John Wiley & Sons
341,00 kr. 306,90 kr.
Leveres umiddelbart efter køb
Practical Statistics for Field Biology, 2. udgave

Practical Statistics for Field Biology Vital Source e-bog

Jim Fowler
(2013)
John Wiley & Sons
222,00 kr. 199,80 kr.
Leveres umiddelbart efter køb
Practical Statistics for Field Biology

Practical Statistics for Field Biology

Jim Fowler, Lou Cohen og Philip Jarvis
(1998)
Sprog: Engelsk
John Wiley & Sons, Incorporated
367,00 kr.
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Detaljer om varen

  • 2. Udgave
  • Vital Source searchable e-book (Fixed pages)
  • Udgiver: John Wiley & Sons (August 1998)
  • Forfattere: Jim Fowler, Lou Cohen og Phil Jarvis
  • ISBN: 9781118300558
This thoroughly revised and updated new edition provides an excellent introductory text for students on the principles and methods of statistical analysis in the life sciences, helping them choose and analyse statistical tests for their own problems and present their findings.
Licens varighed:
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.

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Detaljer om varen

  • 2. Udgave
  • Vital Source searchable e-book (Reflowable pages): 272 sider
  • Udgiver: John Wiley & Sons (Juni 2013)
  • ISBN: 9781118685648
Provides an excellent introductory text for students on the principles and methods of statistical analysis in the life sciences, helping them choose and analyse statistical tests for their own problems and present their findings. An understanding of statistical principles and methods is essential for any scientist but is particularly important for those in the life sciences. The field biologist faces very particular problems and challenges with statistics as "real-life" situations such as collecting insects with a sweep net or counting seagulls on a cliff face can hardly be expected to be as reliable or controllable as a laboratory-based experiment. Acknowledging the peculiarites of field-based data and its interpretation, this book provides a superb introduction to statistical analysis helping students relate to their particular and often diverse data with confidence and ease. To enhance the usefulness of this book, the new edition incorporates the more advanced method of multivariate analysis, introducing the nature of multivariate problems and describing the the techniques of principal components analysis, cluster analysis and discriminant analysis which are all applied to biological examples. An appendix detailing the statistical computing packages available has also been included. It will be extremely useful to undergraduates studying ecology, biology, and earth and environmental sciences and of interest to postgraduates who are not familiar with the application of multiavirate techniques and practising field biologists working in these areas.
Licens varighed:
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.

Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 10 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)

Detaljer om varen

  • 2. Udgave
  • Vital Source 120 day rentals (dynamic pages): 272 sider
  • Udgiver: John Wiley & Sons (Juni 2013)
  • ISBN: 9781118685648R120
Provides an excellent introductory text for students on the principles and methods of statistical analysis in the life sciences, helping them choose and analyse statistical tests for their own problems and present their findings. An understanding of statistical principles and methods is essential for any scientist but is particularly important for those in the life sciences. The field biologist faces very particular problems and challenges with statistics as "real-life" situations such as collecting insects with a sweep net or counting seagulls on a cliff face can hardly be expected to be as reliable or controllable as a laboratory-based experiment. Acknowledging the peculiarites of field-based data and its interpretation, this book provides a superb introduction to statistical analysis helping students relate to their particular and often diverse data with confidence and ease. To enhance the usefulness of this book, the new edition incorporates the more advanced method of multivariate analysis, introducing the nature of multivariate problems and describing the the techniques of principal components analysis, cluster analysis and discriminant analysis which are all applied to biological examples. An appendix detailing the statistical computing packages available has also been included. It will be extremely useful to undergraduates studying ecology, biology, and earth and environmental sciences and of interest to postgraduates who are not familiar with the application of multiavirate techniques and practising field biologists working in these areas.
Licens varighed:
Bookshelf online: 120 dage fra købsdato.
Bookshelf appen: 120 dage fra købsdato.

Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 10 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)

Detaljer om varen

  • Paperback: 272 sider
  • Udgiver: John Wiley & Sons, Incorporated (Maj 1998)
  • Forfattere: Jim Fowler, Lou Cohen og Philip Jarvis
  • ISBN: 9780471982968
Provides an excellent introductory text for students on the principles and methods of statistical analysis in the life sciences, helping them choose and analyse statistical tests for their own problems and present their findings.

An understanding of statistical principles and methods is essential for any scientist but is particularly important for those in the life sciences. The field biologist faces very particular problems and challenges with statistics as "real-life" situations such as collecting insects with a sweep net or counting seagulls on a cliff face can hardly be expected to be as reliable or controllable as a laboratory-based experiment. Acknowledging the peculiarites of field-based data and its interpretation, this book provides a superb introduction to statistical analysis helping students relate to their particular and often diverse data with confidence and ease.

To enhance the usefulness of this book, the new edition incorporates the more advanced method of multivariate analysis, introducing the nature of multivariate problems and describing the the techniques of principal components analysis, cluster analysis and discriminant analysis which are all applied to biological examples. An appendix detailing the statistical computing packages available has also been included.

It will be extremely useful to undergraduates studying ecology, biology, and earth and environmental sciences and of interest to postgraduates who are not familiar with the application of multiavirate techniques and practising field biologists working in these areas.
Measurement and Sampling Concepts. Processing Data. Presenting Data. Measuring the Average. Measuring Variability. Probability. Probability Distributions as Models of Dispersion. The Normal Distribution. Data Transformation. How Good are Our Estimates? The Basis of Statistical Testing. Analysing Frequencies. Measuring Correlations. Regression Analysis. Comparing Averages. Analysis of Variance - ANOVA. Multivariate Analysis. Appendices. Bibliography and Further Reading. Index.
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