[PDF] Design And Analysis Ecological Experiments eBook

Design And Analysis Ecological Experiments Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Design And Analysis Ecological Experiments book. This book definitely worth reading, it is an incredibly well-written.

Design and Analysis of Ecological Experiments

Author : Samuel M. Scheiner
Publisher : Oxford University Press
Page : 432 pages
File Size : 45,15 MB
Release : 2001-04-26
Category : Science
ISBN : 0198030223

GET BOOK

Ecological research and the way that ecologists use statistics continues to change rapidly. This second edition of the best-selling Design and Analysis of Ecological Experiments leads these trends with an update of this now-standard reference book, with a discussion of the latest developments in experimental ecology and statistical practice. The goal of this volume is to encourage the correct use of some of the more well known statistical techniques and to make some of the less well known but potentially very useful techniques available. Chapters from the first edition have been substantially revised and new chapters have been added. Readers are introduced to statistical techniques that may be unfamiliar to many ecologists, including power analysis, logistic regression, randomization tests and empirical Bayesian analysis. In addition, a strong foundation is laid in more established statistical techniques in ecology including exploratory data analysis, spatial statistics, path analysis and meta-analysis. Each technique is presented in the context of resolving an ecological issue. Anyone from graduate students to established research ecologists will find a great deal of new practical and useful information in this current edition.

Design and Analysis of Ecological Experiments

Author : Sam Scheiner
Publisher : CRC Press
Page : 445 pages
File Size : 13,8 MB
Release : 2020-07-25
Category : Mathematics
ISBN : 1000152960

GET BOOK

The goal of this book is to make some underutilized but potentially very useful methods in experimental design and analysis available to ecologists, and to encourage better use of standard statistical techniques. Ecology has become more and more an experimental science in both basic and applied work,but experiments in the field and in the laboratory often present formidable statistical difficulties. Organized around providing solutions to ecological problems, this book offers ways to improve the statistical aspects of conducting manipulative ecological experiments, from setting them up to interpreting and reporting the results. An abundance of tools, including advanced approaches, are made available to ecologists in step-by-step examples, with computer code provided for common statistical packages. This is an essential how-to guide for the working ecologist and for graduate students preparing for research and teaching careers in the field of ecology.

Experiments in Ecology

Author : A. J. Underwood
Publisher : Cambridge University Press
Page : 536 pages
File Size : 43,85 MB
Release : 1997
Category : Nature
ISBN : 9780521556965

GET BOOK

First published in 1996, this book is a logical and consistent approach to experimental design using statistical principles.

Experiments in Ecology

Author : A. J. Underwood
Publisher : Cambridge University Press
Page : 514 pages
File Size : 21,44 MB
Release : 1996-12-12
Category : Nature
ISBN : 1107078636

GET BOOK

Ecological theories and hypotheses are usually complex because of natural variability in space and time, which often makes the design of experiments difficult. The statistical tests we use require data to be collected carefully and with proper regard to the needs of these tests. This book, first published in 1996, describes how to design ecological experiments from a statistical basis using analysis of variance, so that we can draw reliable conclusions. The logical procedures that lead to a need for experiments are described, followed by an introduction to simple statistical tests. This leads to a detailed account of analysis of variance, looking at procedures, assumptions and problems. One-factor analysis is extended to nested (hierarchical) designs and factorial analysis. Finally, some regression methods for examining relationships between variables are covered. Examples of ecological experiments are used throughout to illustrate the procedures and examine problems. This book will be invaluable to practising ecologists as well as advanced students involved in experimental design.

Ecological Experiments

Author : Nelson G. Hairston
Publisher : Cambridge University Press
Page : 392 pages
File Size : 34,14 MB
Release : 1989-11-24
Category : Nature
ISBN : 9780521346924

GET BOOK

Ecological Experiments stresses the importance to ecology of field experiments, where variables are manipulated in order to collect data on specific hypotheses, as opposed to the more passive observational method. The book begins by introducing a series of ecological questions that can be addressed experimentally for example, what is the significance of competition among species? The minimal requirements of experimental design that must be met are then introduced, together with examples of good and poor experiments from the ecological literature and a consideration of the trade-offs that may be forced on the experimenter by field conditions. All ecologists, and especially students beginning their careers in field study, will find in this text a good introduction to the experimental foundation of ecology.

Design and Analysis of Long-term Ecological Monitoring Studies

Author : Robert A. Gitzen
Publisher : Cambridge University Press
Page : 779 pages
File Size : 30,51 MB
Release : 2012-06-07
Category : Nature
ISBN : 1139510193

GET BOOK

To provide useful and meaningful information, long-term ecological programs need to implement solid and efficient statistical approaches for collecting and analyzing data. This volume provides rigorous guidance on quantitative issues in monitoring, with contributions from world experts in the field. These experts have extensive experience in teaching fundamental and advanced ideas and methods to natural resource managers, scientists and students. The chapters present a range of tools and approaches, including detailed coverage of variance component estimation and quantitative selection among alternative designs; spatially balanced sampling; sampling strategies integrating design- and model-based approaches; and advanced analytical approaches such as hierarchical and structural equation modelling. Making these tools more accessible to ecologists and other monitoring practitioners across numerous disciplines, this is a valuable resource for any professional whose work deals with ecological monitoring. Supplementary example software code is available online at www.cambridge.org/9780521191548.

Experimental Design and Data Analysis for Biologists

Author : Gerry P. Quinn
Publisher : Cambridge University Press
Page : 851 pages
File Size : 41,51 MB
Release : 2002-03-21
Category : Nature
ISBN : 1139432893

GET BOOK

An essential textbook for any student or researcher in biology needing to design experiments, sample programs or analyse the resulting data. The text begins with a revision of estimation and hypothesis testing methods, covering both classical and Bayesian philosophies, before advancing to the analysis of linear and generalized linear models. Topics covered include linear and logistic regression, simple and complex ANOVA models (for factorial, nested, block, split-plot and repeated measures and covariance designs), and log-linear models. Multivariate techniques, including classification and ordination, are then introduced. Special emphasis is placed on checking assumptions, exploratory data analysis and presentation of results. The main analyses are illustrated with many examples from published papers and there is an extensive reference list to both the statistical and biological literature. The book is supported by a website that provides all data sets, questions for each chapter and links to software.