Statistics with Applications in Biology and Geology

ISBN-13: 9781584883098 / Angielski / Miękka / 2002 / 555 str.

Preben Blaesild; Jorgen Granfeldt

Opis

Designed as a first course in statistics for students in biology and geology, this book gives a practical introduction to using the fundamental parametric statistical models frequently used in those disciplines. The focus is on analyzing data, but it retains a firm basis in models, the likelihood methods, and numeracy. The author illustrates how calculations are performed using the SAS software package, but his presentation extends easily to other software. The SAS programs and data used in examples and exercises are available for download from the Internet. Provides a practical introduction to designed specifically for practitioners and students in biology and geology

Recenzje

"The authors provide a useful website for the book [which] contains the many data sets used in the examples and exercises, as well as the SAS jobs. … [T]his book could be a very good source of supplementary, applied material … [or] an excellent book for a second course in practical applications."
- Computers & Geosciences


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Spis treści

STATISTICAL ANALYSIS
Data
Model Specification
Model Checking
Statistical Inference
Concluding Remarks
PRELIMINARY INVESTIGATIONS
Dot Diagrams and Bar Charts
Histograms
Fractile Diagrams
Fractile Diagrams for the Normal Distribution
Transformation
Concluding Remarks
Annex to Chapter 2
NORMAL DATA
One Sample
Annex to Section
Main Points in Section
Two or More Samples
Main Points in Section
Linear Regression
Annex to Section
Main Points in Section
Supplement to Chapter
The Normal Distribution and Related Distributions
Multivariate Normal Distributions
LINEAR NORMAL MODELS
The Linear Normal Model
Main Points in Section
Comparison of Regression Lines
Annex to Section
Two-way Analysis of Variance
Annex to Section 4
AN INTRODUCTION TO POWER OF TESTS AND DESIGN OF EXPERIMENTS
Power of Tests
Reduction of s 2- An Example of Blocking
Control Plot for the Paired t-Test
The Paired t--Test and Two-Way Analysis of Variance
Annex to Chapter
Supplement to Chapter 5
Non-Central t-, c, and F-Distributions
CORRELATION
Introduction
Definitions
Examples
The Bivariate Normal Distribution
Model Checking
Inference on r Based on a Single Bivariate Normal Sample
Inference on r Based on Several Bivariate Normal Samples
Correlation and Regression
Interpretation of Correlation
Further Topics in the Bivariate Normal Distribution
Annex to Chapter 6
Main Points in Section 6
THE MULTINOMIAL DISTRIBUTION
Examples
Inference in One Multinomial Distribution
Inference in Several Multinomial Distributions
Fisher's Exact Test
Test for Goodness of Fit
Sequence of Models
Annex to Chapter 7
Main Points in Chapter 7
THE POISSON DISTRIBUTION
Examples
Probabilistic Results for the Poisson Distribution
One Sample
Several Samples
Transformation
Annex to Chapter 8
Main Points in Chapter 8
GENERALIZED LINEAR MODELS
Classes of Distributions
The Generalized Linear Model
Examples
MODELS FOR DIRECTIONAL DATA
Notation
Examples
The Circular Normal Distribution
One Sample
Several Samples
Annex to Chapter 10
Supplement to Chapter 10
Descriptive Measures for Directional Data
Further Analogies
THE LIKELIHOOD METHOD
Likelihood Inference
Concepts from General Test Theory
Approximative Likelihood Theory
SOME NONPARAMETRIC TESTS
Sign Test
Rank Tests
Annex to Chapter 12
Main Points in Chapter 12
APPENDICES
Simulated Fractile Diagrams
The Newton-Raphson Procedure
REFERENCES
INDEX

O autorze

Preben Blaesild, Jorgen Granfeldt