experimental design and data analysis for biologists

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Experimental Design And Data Analysis For Biologists

Author : Gerry P. Quinn
ISBN : 0521009766
Genre : Mathematics
File Size : 24. 35 MB
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Regression, analysis of variance, correlation, graphical.

Multivariate Statistik In Der Kologie

Author : Ilona Leyer
ISBN : 9783540377061
Genre : Science
File Size : 48. 69 MB
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Im Labyrinth der Daten. Dieses Lehrbuch wendet sich an all jene, die in Studium und Beruf mit ökologischen sowie Landschafts- und Umweltdaten arbeiten. Es ist als Begleittext zu Lehrveranstaltungen und zum Selbststudium geeignet und bietet Hilfe bei der Datenanalyse in wissenschaftlichen Arbeiten. Der Lehrtext behandelt neben relevanten statistischen Grundlagen, Ordinationsverfahren, Klassifikationen und Permutationsverfahren zur Prüfung multivariater Beziehungen. Anschaulich erläutert er die Methoden anhand von Beispieldatensätzen und unter weitgehendem Verzicht auf Formeln. Einzigartiger Einstieg für Anwender zur Auswertung eigener Daten.

An Introduction To Experimental Design And Statistics For Biology

Author : David Heath
ISBN : 0203499247
Genre : Mathematics
File Size : 25. 88 MB
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This illustrated textbook for biologists provides a refreshingly clear and authoritative introduction to the key ideas of sampling, experimental design, and statistical analysis. The author presents statistical concepts through common sense, non-mathematical explanations and diagrams. These are followed by the relevant formulae and illustrated by worked examples. The examples are drawn from all areas of biology, from biochemistry to ecology and from cell to animal biology. The book provides everything required in an introductory statistics course for biology undergraduates, and it is also useful for more specialized undergraduate courses in ecology, botany, and zoology.

Ecological Statistics

Author : Gordon A. Fox
ISBN : 9780191652882
Genre : Science
File Size : 89. 5 MB
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The application and interpretation of statistics are central to ecological study and practice. Ecologists are now asking more sophisticated questions than in the past. These new questions, together with the continued growth of computing power and the availability of new software, have created a new generation of statistical techniques. These have resulted in major recent developments in both our understanding and practice of ecological statistics. This novel book synthesizes a number of these changes, addressing key approaches and issues that tend to be overlooked in other books such as missing/censored data, correlation structure of data, heterogeneous data, and complex causal relationships. These issues characterize a large proportion of ecological data, but most ecologists' training in traditional statistics simply does not provide them with adequate preparation to handle the associated challenges. Uniquely, Ecological Statistics highlights the underlying links among many statistical approaches that attempt to tackle these issues. In particular, it gives readers an introduction to approaches to inference, likelihoods, generalized linear (mixed) models, spatially or phylogenetically-structured data, and data synthesis, with a strong emphasis on conceptual understanding and subsequent application to data analysis. Written by a team of practicing ecologists, mathematical explanations have been kept to the minimum necessary. This user-friendly textbook will be suitable for graduate students, researchers, and practitioners in the fields of ecology, evolution, environmental studies, and computational biology who are interested in updating their statistical tool kits. A companion web site provides example data sets and commented code in the R language.

Introductory R A Beginner S Guide To Data Visualisation Statistical Analysis And Programming In R

Author : Robert Knell
ISBN : 9780957597112
Genre :
File Size : 76. 82 MB
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R is now the most widely used statistical software in academic science and it is rapidly expanding into other fields such as finance. R is almost limitlessly flexible and powerful, hence its appeal, but can be very difficult for the novice user. There are no easy pull-down menus, error messages are often cryptic and simple tasks like importing your data or exporting a graph can be difficult and frustrating. Introductory R is written for the novice user who knows a little about statistics but who hasn't yet got to grips with the ways of R. This new edition is completely revised and greatly expanded with new chapters on the basics of descriptive statistics and statistical testing, considerably more information on statistics and six new chapters on programming in R. Topics covered include: A walkthrough of the basics of R's command line interface Data structures including vectors, matrices and data frames R functions and how to use them Expanding your analysis and plotting capacities with add-in R packages A set of simple rules to follow to make sure you import your data properly An introduction to the script editor and advice on workflow A detailed introduction to drawing publication-standard graphs in R How to understand the help files and how to deal with some of the most common errors that you might encounter. Basic descriptive statistics The theory behind statistical testing and how to interpret the output of statistical tests Thorough coverage of the basics of data analysis in R with chapters on using chi-squared tests, t-tests, correlation analysis, regression, ANOVA and general linear models What the assumptions behind the analyses mean and how to test them using diagnostic plots Explanations of the summary tables produced for statistical analyses such as regression and ANOVA Writing your own functions in R Using table operations to manipulate matrices and data frames Using conditional statements and loops in R programmes. Writing longer R programmes. The techniques of statistical analysis in R are illustrated by a series of chapters where experimental and survey data are analysed. There is a strong emphasis on using real data from real scientific research, with all the problems and uncertainty that implies, rather than well-behaved made-up data that give ideal and easy to analyse results.

Dna Methylation Microarrays

Author : Sun-Chong Wang
ISBN : 1420067281
Genre : Mathematics
File Size : 78. 90 MB
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Providing an interface between dry-bench bioinformaticians and wet-lab biologists, DNA Methylation Microarrays: Experimental Design and Statistical Analysis presents the statistical methods and tools to analyze high-throughput epigenomic data, in particular, DNA methylation microarray data. Since these microarrays share the same underlying principles as gene expression microarrays, many of the analyses in the text also apply to microarray-based gene expression and histone modification (ChIP-on-chip) studies. After introducing basic statistics, the book describes wet-bench technologies that produce the data for analysis and explains how to preprocess the data to remove systematic artifacts resulting from measurement imperfections. It then explores differential methylation and genomic tiling arrays. Focusing on exploratory data analysis, the next several chapters show how cluster and network analyses can link the functions and roles of unannotated DNA elements with known ones. The book concludes by surveying the open source software (R and Bioconductor), public databases, and other online resources available for microarray research. Requiring only limited knowledge of statistics and programming, this book helps readers gain a solid understanding of the methodological foundations of DNA microarray analysis.

Experimental Design For Laboratory Biologists

Author : Stanley E. Lazic
ISBN : 9781107074293
Genre : Family & Relationships
File Size : 68. 68 MB
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A guide to designing lab-based biological experiments that have low bias, high precision and widely applicable results.

The Mystery Of Yawning In Physiology And Disease

Author : Olivier Walusinski
ISBN : 9783805594042
Genre : Medical
File Size : 59. 70 MB
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Yawning is a stereotyped phylogenetically ancient phenomenon that occurs in almost all vertebrates. As an emotional behavior and an expressive movement, yawning has many consequences; nevertheless, it has so far been poorly addressed in medical research and practice. Bringing together the latest research from many fields, this volume integrates current insights within embryology, ethology, neurophysiology, psychology, fMRI and pathology. The phylogenetic and ontogenetic aspects of yawning offer an interesting perspective on human development, and its occurrence in neurological diseases - an area explored by only a few investigators - may provide useful clinical information. This book will make valuable and fascinating reading to neurologists, sleep specialists, psychologists, ethologists and pharmacologists, as well as to anybody interested in uncovering the mystery of yawning.

Methods In Comparative Plant Population Ecology

Author : David Gibson
ISBN : 9780191651236
Genre : Science
File Size : 43. 66 MB
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The field of plant population ecology has advanced considerably in the last decade since the first edition was published. In particular there have been substantial and ongoing advances in statistics and modelling applications in population ecology, as well as an explosion of new techniques reflecting the availability of new technologies (e.g. affordable and accurate Global Positioning Systems) and advances in molecular biology. This new edition has been updated and revised with more recent examples replacing older ones where appropriate. The book's trademark question-driven approach has been maintained and some important topics such as the metapopulation concept which are missing entirely from the current edition are now included throughout the text.

Plant Cell Biology

Author : William V. Dashek
ISBN : STANFORD:36105114210490
Genre : Science
File Size : 39. 58 MB
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The present volume is a textbook for "upper" undergraduate and beginning graduate students. This textbook stresses concepts and is inquiry-oriented. To this end, there is extensive use of original research literature. As we live in an era of literature explosion, one must be selective. These judgments will naturally vary with each investigator. Input was sought from colleagues in deciding the literature to include. In addition to provision of select research literature, this volume presents citations and summaries of certain laboratory methods. In this connection, the textbook stresses quantitative data to enhance the student's analytical abilities. Thus, the volume contains computer-spread sheets and references to statistical packages, e.g. Harvard Graphics and Statistica.

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