Statistical Books
The following is a list of books related to the types of analyses performed by Kovach Computing Services software. These are ones that we and our customers have found particularly useful. We will be expanding this list as we discover new books, so come back and visit again. If you have any suggestions of books to add to the list please contact us.
You can purchase these books online from Amazon booksellers. To purchase them from the USA or UK branch of Amazon simply click on the appropriate flag ( or ) after the entry. You can also browse Amazon's own categorical listings of the most popular statistical books at their USA and UK sites.
General Statistics
van Emden, Helmut, 2008. Statistics for Terrified Biologists.
A student oriented book that presents statistical methods using straightforward, jargon-free language.
Bendoly, E., 2008. Excel Basics to Blackbelt: An Accelerated Guide to Decision Support Designs.
This book covers the use of Excel for statistical applications. It particualrly extensively covers the use of XLSTAT, both on its own and as integrated with other applications.
Zuur, Alain F., Ieno, Elena N. & Smith, Graham M., 2007. Analysing Ecological Data.
This book provides a practical introduction to analysing ecological data using real data sets collected as part of postgraduate ecological studies or research projects. The first part of the book gives a largely non-mathematical introduction to data exploration, univariate methods (including GAM and mixed modelling techniques), multivariate analysis, time series analysis (e.g. common trends) and spatial statistics. The second part provides 17 case studies, mainly written together with biologists who attended courses given by the first authors.
Sokal, R.R. & Rohlf, F.J., 1994. Biometry : The
Principles and Practice of Statistics in Biological Research.
3rd Edition.
The classic text on statistics in the biological sciences. Cited
more times than Darwin!
Zar, J.H., 2009. Biostatistical Analysis. 5th Edition.
Excellent customer reviews on Amazon, all five star. It provides
a broad and practical overview of the statistical analysis methods
used by researchers to collect, summarize, analyze, and draw conclusions
from biological research data
Davis, J.C., 2002. Statistics and data analysis in geology. 3rd edition.
A very readable introduction to the use of statistics in geology.
Includes extensive information on multivariate methods, orientation
analysis and spatial statistics.
Clark, I. & Harper, W., 2000. Practical Geostatistics
2000
An updated and greatly expanded edition that covers all
areas of geostatistics from a practical viewpoint. The book is also
available in computer readable and searchable form, either as a
CD-ROM only ()
or both book and CD ().
Huff, D., 1991. How to Lie with Statistics.
This book introduces some of the basics of statistics by showing
how they can be misused to make any point you'd like. A very amusing
and enlightening book.
Rowntree, D., 1981. Statistics Without Tears.
Describes statistics in layman's terms, excellent for the beginner.
Dytham, C., 2010. Choosing and Using Statistics. 3nd edition.
Takes you through the process of deciding which type of statistical
method is most appropriate, then the steps of how to perform the
analysis and interpret the results.
Box, G.E.P., Hunter, J.S. & Hunter, W.G., 1978. Statistics
for Experimenters: An Introduction to Design, Data Analysis, and
Model Building. 2nd edition
A classic text on the subject of the statistical design of experiments.
Agresti, A., 1990. Categorical Data Analysis.
A comprehensive introduction to the wide range of methods for analyzing
categorical data.
Jason C. Hsu, 1996. Multiple Comparisons : Theory and
Methods.
Multivariate Analysis
Piernik, Agnieszka, 2008. Metody numeryczne w ekologii -
Na przykładzie zastosowań pakietu MVSP do analiz roślinności (Numerical methods in ecology - Examples using the vegetation analysis package MVSP).
A tutorial on using multivariate methods in ecology, based on our program MVSP. Not yet on Amazon, but available from a variety of Polish on-line bookstores.
Greenacre, M., 2007. Correspondence Analysis in Practice. 2nd Edition
A complete rewrite of the author's classic 1993 book on CA. It includes sections demonstrating the use of XLSTAT to calculate correspondence analysis.
Greenacre, M. &, Blasius, J., 2006. Multiple Correspondence Analysis and Related Methods (Statistics in the Social and Behavioral Sciences).
A collection of papers on the latest developments in MCA.
Manly, B.F.J., 2004. Multivariate statistical methods. A
primer. 3rd edition.
A very readable and general introduction to multivariate methods,
such as PCA, factor analysis and MDS. It includes a section on basic
matrix algebra. The author uses MVSP for many
of the examples.
Pielou, E.C., 1984. The Interpretation of Ecological Data:
A Primer on Classification and Ordination.
This books does an excellent job of explaining the multivariate
nature of ecological data and the mathematical basis behind methods
such as PCA, correspondence analysis and cluster analysis.
Kachigan, S.K., 1991. Multivariate Statistical Analysis :
A Conceptual Introduction.
This book provides a review of basic statistics, then introduces
the most popular multivariate techniques in use today, including
correlation analysis, regression analysis, factor analysis, cluster
analysis, multidimensional scaling. Excellent customer reviews on
Amazon, all five star.
Tabachnick, B.G. & Fidell, L.S., 1996. Using Multivariate
Statistics. 3rd Edition.
An easy-to-read yet comprehensive introduction to multivariate methods.
It takes a practical approach in describing how to go about the
analyses.
Jolliffe, I.T., 2002. Principal Components Analysis. 2nd edition
Everything you'd want to know about PCA. A very welcome extensive update to this classic text.
Jongman, R.G.H., ter Braak C.J.F. and van Tongeren, D.F.R. 1995.
Data analysis in community and landscape ecology.
This book is particularly strong in explaining canonical correspondence
analysis in depth (the second author developed CCA) as well as other
ordination methods, regression, cluster analysis and spatial statistics.
Krebs, C.J., 1999. Ecological Methodology. 2nd edition.
The bible for researchers designing ecological studies and analyzing
results. It contains sections on estimating abundance, community
parameters (including diversity indices, similarity measures and
clustering), and survival rates as well as spatial patterns.
Jackson, J.E., 2003. A User's Guide to Principal Components. 2nd edition
A comprehensive and practical guide to principal components analysis.
Kent. M. & Coker, P., 1995. Vegetation Description and
Analysis: A Practical Approach.
A step-by-step introduction to the statistical methods widely used
in plant ecology. Includes a good historical coverage of ordination
methods.
Legendre, P. & Legendre, L., 1998. Numerical Ecology.
2nd edition.
A very comprehensive tretise on the use of numerical methods in
ecology, with a major focus on multivariate methods.
Cluster Analysis
Gordon, A.D., 1999. Classification. 2nd edition.
A major update of this classic work on cluster analysis, classification
and other multivariate methods.
Everitt, B. et al, 2001. Cluster Analysis. 4th Edition.
A good discussion of the wide variety of cluster analysis techniques.
Circular Statistics/Orientation Analysis
Bell, Kim N.I., 2008. Analysing Cycles in Biology & Medicine-a Practical Introduction to Circular Variables & Periodic Regression.
A practical guide to analyzing circular and periodic data, with numerous examples.
Jammalamadaka, S. R. & Sengupta, A., 2001. Topics in
Circular Statistics (Series on Multivariate Analysis).
A new research monograph covering the latest developments
in circular statistics. The authors have an errata
sheet available.
Fisher, N.I., 1993. Statistical analysis of circular data.
A good, readable introduction to a wide variety of methods for analysing
circular data. Includes a very interesting historical overview.
The author has an errata
sheet available.
Mardia, K.V. & Jupp, P.E., 2000. Statistics of directional
data. 2nd Edition.
A new edition of one of the first books to cover this area of statistics.
Includes examples from a wide range of research pursuits.
Batschelet, E., 1981. Circular statistics in biology.
Unfortunately out of print, but you may be able to get it through
Amazon's second hand book network.
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