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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.
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.
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
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.
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.
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.
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.
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.
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.
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.
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Last modified 5 April, 2013