Statistics with Applications in Biology and Geology

Preben Blaesild, Jorgen Granfeldt

564 pages, parution le 23/01/2003

Ajouter à une liste

Indisponible

Résumé

Provides a practical introduction to designed specifically for practitioners and students in biology and geology
Offers hands-on experience with the most important statistical tools and techniques
Help readers formulate questions and communicate results
Incorporates the use of SAS software to illustrate techniques and calculations
Furnishes SAS programs and data sets for all examples and exercises at www.imf.au.dk/biogeostatistics

The use of statistics is fundamental to many endeavors in biology and geology. For students and professionals in these fields, there is no better way to build a statistical background than to present the concepts and techniques in a context relevant to their interests. Statistics with Applications in Biology and Geology provides a practical introduction to using fundamental parametric statistical models frequently applied to data analysis in biology and geology.

Based on material developed for an introductory statistics course and classroom tested for nearly 10 years, this treatment establishes a firm basis in models, the likelihood method, and numeracy. The models addressed include one sample, two samples, one- and two-way analysis of variance, and linear regression for normal data and similar models for binomial, multinomial, and Poisson data. Building on the familiarity developed with those models, the generalized linear models are introduced, making it possible for readers to handle fairly complicated models for both continuous and discrete data. Models for directional data are treated as well. The emphasis is on parametric models, but the book also includes a chapter on the most important nonparametric tests.

This presentation incorporates the use of the SAS statistical software package, which authors use to illustrate all of the statistical tools described. However, to reinforce understanding of the basic concepts, calculations for the simplest models are also worked through by hand. SAS programs and the data used in the examples and exercises are available on the Internet.

Contents

Statistical Analysis
Preliminary Investigations
Normal Data
Linear Normal Models
An Introduction to Power of Tests and Design of Experiments Correlation
The Multinomial Distribution
The Poisson Distribution
Generalized Linear Models
Models for Directional Data
The Likelihood Method
Some Nonparametric Tests

Appendices
Simulated Fractile Diagrams
The Newton-Raphson Procedure

L'auteur - Preben Blaesild

University of Aarhus, Denmark

L'auteur - Jorgen Granfeldt

University of Aarhus, Denmark

Caractéristiques techniques

	PAPIER
Éditeur(s)	Chapman and Hall / CRC
Auteur(s)	Preben Blaesild, Jorgen Granfeldt
Parution	23/01/2003
Nb. de pages	564
Format	17,8 x 25,4
Couverture	Broché
Poids	992g
Intérieur	Noir et Blanc
EAN13	9781584883098
ISBN13	978-1-58488-309-8