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Spiders of Australia.
Author:
ISBN: 376436257X 3034881258 3764362561 Year: 1998 Publisher: National Library of Australia cataloguing

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Abstract

The amount of information that can be obtained by using molecular techniques in evolution, systematics and ecology has increased exponentially over the last ten years. The need for more rapid and efficient methods of data acquisition and analysis is growing accordingly. This manual presents some of the most important techniques for data acquisition developed over the last years. The choice and justification of data analysis techniques is also an important and critical aspect of modern phylogenetic and evolutionary analysis and so a considerable part of this volume addresses this important subject. The book is mainly written for students and researchers from evolutionary biology in search for methods to acquire data, but also from molecular biology who might be looking for information on how data are analyzed in an evolutionary context. To aid the user, information on web-located sites is included wherever possible. Approaches that will push the amount of information which systematics will gather in the.

Keywords

Systematics. Taxonomy. Nomenclature --- Evolution. Phylogeny --- Molecular evolution --- Evolution, Molecular. --- Data Interpretation, Statistical. --- Genomics --- Phylogeny. --- Methodology. --- methods. --- Decision Support Techniques --- Statistics as Topic --- Genetics --- Genetic Phenomena --- Computational Biology --- Classification --- Investigative Techniques --- Biological Evolution --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Medical Informatics Applications --- Phenomena and Processes --- Biology --- Biological Processes --- Health Care Evaluation Mechanisms --- Genetic Processes --- Epidemiologic Methods --- Information Science --- Medical Informatics --- Biological Phenomena --- Biological Science Disciplines --- Public Health --- Quality of Health Care --- Environment and Public Health --- Natural Science Disciplines --- Health Care Quality, Access, and Evaluation --- Health Care --- Disciplines and Occupations --- Data Interpretation, Statistical --- Phylogeny --- Evolution, Molecular --- Methods --- Health & Biological Sciences --- Biophysics --- Methodology --- Methods. --- Biochemical evolution --- Chemical evolution --- Evolution --- Life --- Molecular biology --- Origin --- Ecology . --- Evolutionary biology. --- Life sciences. --- Ecology. --- Evolutionary Biology. --- Life Sciences, general. --- Biosciences --- Sciences, Life --- Science --- Animal evolution --- Animals --- Biological evolution --- Darwinism --- Evolutionary biology --- Evolutionary science --- Origin of species --- Biological fitness --- Homoplasy --- Natural selection --- Balance of nature --- Bionomics --- Ecological processes --- Ecological science --- Ecological sciences --- Environment --- Environmental biology --- Oecology --- Environmental sciences --- Population biology --- Ecology

Introductory statistics with R.
Author:
ISBN: 0387954759 9780387954752 9786610009749 1280009748 038722632X Year: 2002 Publisher: New York Springer

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Abstract

"This books provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics."--Back cover.

Keywords

Statistics --- R (Computer program language) --- Statistique --- R (Langage de programmation) --- Data processing --- Informatique --- R (Computer program language). --- Data processing. --- Programming --- Mathematical statistics --- #SBIB:303H4 --- 681.3*G3 --- 519.2 --- -R (Computer program language) --- -519.5 --- GNU-S (Computer program language) --- Domain-specific programming languages --- 519.2 Probability. Mathematical statistics --- Probability. Mathematical statistics --- 681.3*G3 Probability and statistics: probabilistic algorithms (including Monte Carlo)random number generation statistical computing statistical software (Mathematics of computing) --- Probability and statistics: probabilistic algorithms (including Monte Carlo)random number generation statistical computing statistical software (Mathematics of computing) --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Informatica in de sociale wetenschappen --- EPUB-LIV-FT SPRINGER-B --- Mathematics. --- Bioinformatics. --- Computational biology. --- Probabilities. --- Statistics. --- Probability Theory and Stochastic Processes. --- Statistics and Computing/Statistics Programs. --- Computer Appl. in Life Sciences. --- 519.5 --- 681.3*G3 Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing) --- Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing) --- Distribution (Probability theory. --- Mathematical statistics. --- Biology --- Statistics . --- Bioinformatics . --- Computational biology . --- Bioinformatics --- Bio-informatics --- Biological informatics --- Information science --- Computational biology --- Systems biology --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Risk --- Statistics - Data processing --- Estadística $xInformática --- R (Lenguaje de programación) --- Estadística matemática

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