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. You can also browse Amazon's own categorical listings of the most popular statistical books at their USA and UK sites.
Statistics for Terrified Biologists. A student oriented book that presents statistical methods using straightforward, jargon-free language. Bendoly, E. This book covers the use of Excel for statistical applications. Zuur, Alain F. 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.
The second part provides 17 case studies, mainly written together with biologists who attended courses given by the first authors. Sokal, R. The classic text on statistics in the biological sciences. Cited more times than Darwin! Zar, J. Biostatistical Analysis. 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.
The Interpretation of Ecological Data: A Primer on Classification and Ordination - Semantic Scholar
Statistics and data analysis in geology. A very readable introduction to the use of statistics in geology. Includes extensive information on multivariate methods, orientation analysis and spatial statistics. Clark, I. Practical Geostatistics An updated and greatly expanded edition that covers all areas of geostatistics from a practical viewpoint.
- The Girl Who Saved the King of Sweden.
- The Meaning of Relativity (Routledge Classics).
- Dungeons & Dreamers: A Story of How Computer Games Created a Global Community.
- Concerto No. 10 in C minor (from Marcello’s Op. 1/2);
- Roll, Jordan, Roll: The World the Slaves Made;
Huff, D. How to Lie with Statistics.
- Progress in Location-Based Services 2016;
- Book of Dragons: Volume Three.
- E. C. Pielou - Wikipedia.
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. Statistics Without Tears. Describes statistics in layman's terms, excellent for the beginner. Dytham, C. Choosing and Using Statistics.
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.
The Properties and Interpretation of Observations in Vegetation Study
Agresti, A. Categorical Data Analysis. A comprehensive introduction to the wide range of methods for analyzing categorical data. Jason C. Hsu, Multiple Comparisons : Theory and Methods.
- The Properties and Interpretation of Observations in Vegetation Study | SpringerLink!
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- Han Solos Rescue Mission.
- Brain Metastases from Primary Tumors. Epidemiology, Biology, and Therapy;
Piernik, Agnieszka, 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.
Instructions for Ecological Survey
Greenacre, M. Correspondence Analysis in Practice. A collection of papers on the latest developments in MCA. Manly, B. Multivariate statistical methods. A primer.
It includes a section on basic matrix algebra. The author uses MVSP for many of the examples. Pielou, E. 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. Request permission to reuse content from this site. Undetected location. NO YES. Selected type: Hardcover.
Added to Your Shopping Cart. This is a dummy description. A detailed introduction to the methods used by ecologists--classification and ordination--to clarify and interpret large, unwieldy masses of multivariate field data. Permits ecologists to understand, not just mechanically use, pre-packaged programs for multivariate analysis.
Demonstrates these techniques using artificial data simple enough for every analytical step to be understood. About the Author Evelyn Chrystalla "E.