understanding statistical error a primer for biologists

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Understanding Statistical Error

Author : Marek Gierlinski
ISBN : 9781119106913
Genre : Medical
File Size : 67. 92 MB
Format : PDF
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This accessible introductory textbook provides a straightforward, practical explanation of how statistical analysis and error measurements should be applied in biological research. Understanding Statistical Error - A Primer for Biologists: Introduces the essential topic of error analysis to biologists Contains mathematics at a level that all biologists can grasp Presents the formulas required to calculate each confidence interval for use in practice Is based on a successful series of lectures from the author’s established course Assuming no prior knowledge of statistics, this book covers the central topics needed for efficient data analysis, ranging from probability distributions, statistical estimators, confidence intervals, error propagation and uncertainties in linear regression, to advice on how to use error bars in graphs properly. Using simple mathematics, all these topics are carefully explained and illustrated with figures and worked examples. The emphasis throughout is on visual representation and on helping the reader to approach the analysis of experimental data with confidence. This useful guide explains how to evaluate uncertainties of key parameters, such as the mean, median, proportion and correlation coefficient. Crucially, the reader will also learn why confidence intervals are important and how they compare against other measures of uncertainty. Understanding Statistical Error - A Primer for Biologists can be used both by students and researchers to deepen their knowledge and find practical formulae to carry out error analysis calculations. It is a valuable guide for students, experimental biologists and professional researchers in biology, biostatistics, computational biology, cell and molecular biology, ecology, biological chemistry, drug discovery, biophysics, as well as wider subjects within life sciences and any field where error analysis is required.

A Primer Of Ecological Statistics

Author : CTI Reviews
ISBN : 9781490285870
Genre : Education
File Size : 51. 58 MB
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Facts101 is your complete guide to A Primer of Ecological Statistics. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.

Geometric Morphometrics For Biologists

Author : Miriam Zelditch
ISBN : 0127784608
Genre : Science
File Size : 36. 67 MB
Format : PDF
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Geometric Morphometrics for Biologists is an introductory textbook for a course on geometric morphometrics, written for graduate students and upper division undergraduates, covering both theory of shape analysis and methods of multivariate analysis. It is designed for students with minimal math background; taking them from the process of data collection through basic and more advanced statistical analyses. Many examples are given, beginning with simple although realistic case-studies, through examples of complex analyses requiring several different kinds of methods. The book also includes URL's for free software and step-by-step instructions for using the software. * Accessible, student-tested introduction to sophisticated methods of biological shape analysis * Detailed instructions for conducting analyses with freely available, easy to use software * Numerous illustrations; including graphical presentations of important theoretical concepts and demonstrations of alternative approaches to presenting results * Many realistic examples, both simple and complex, from on-going research * Comprehensive glossary of technical terms

A Primer Of Ecological Statistics

Author : Nicholas J. Gotelli
ISBN : 1605350648
Genre : Science
File Size : 33. 87 MB
Format : PDF, Kindle
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This book takes a broad-based approach that emphasizes the historical, cultural, political, religious, social, and economic factors that underlie an understanding of both global and domestic terrorism. This unique text-reader combines original essays with the best of the existing literature on terrorism. Each chapter of this text begins with an overview essay written by the authors, followed by two relevant and engaging articles culled from a wide variety of popular, academic, and governmental sources. This is the only major terrorism text to incorporate readings from top terrorism experts into a traditional textbook format, allowing readers to deepen their understanding of each aspect of terrorism.

Stochastik

Author : Hans-Otto Georgii
ISBN : 9783110206777
Genre : Mathematics
File Size : 23. 41 MB
Format : PDF
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Der Text bietet eine Einführung in die Wahrscheinlichkeitstheorie und Statistik, wobei die beiden genannten Fachgebiete in zwei separaten Teilen gleichberechtigt nebeneinander gestellt sind. Im Unterschied zu vielen anderen einführenden Lehrbüchern erfolgt keine Trennung in diskrete und allgemeine Modelle. Die dritte Auflage enthält zahlreiche neue Illustrationen und aktualisierte Übungsaufgaben. Einführung in die zentralen Ideen der Wahrscheinlichkeitstheorie. Überaus positive Aufnahme der ersten beiden Auflagen. Zahlreiche für die 3. Auflage aktualisierte Anwendungs- und Übungsbeispiele.

Statistical Reasoning In Medicine

Author : Lemuel A. Moyé
ISBN : 0387989331
Genre : Medical
File Size : 40. 38 MB
Format : PDF, ePub, Mobi
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Through careful, deliberate thought this book provides the nonmathematician with a foundation for understanding the underlying statistical reasoning process in clinical research. This volume recognizes the inevitable tension between the mathematics of hypothesis testing and the ethical requirements in medical research and concentrates on the resolution of these issues in P value interpretation. By presenting the material in a conversational format and consciously de-emphasizing computational devices and focusing instead on the features of experimental design that either clarify or blur P value interpretation statistical reasoning becomes extremely accessible to the uninitiated.

A Primer In Biological Data Analysis And Visualization Using R

Author : Gregg Hartvigsen
ISBN : 9780231537049
Genre : Science
File Size : 76. 32 MB
Format : PDF, Mobi
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R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. Drawing on Gregg Hartvigsen's extensive experience teaching biostatistics and modeling biological systems, this text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences. Underscoring the importance of R and RStudio in organizing, computing, and visualizing biological statistics and data, Hartvigsen guides readers through the processes of entering data into R, working with data in R, and using R to visualize data using histograms, boxplots, barplots, scatterplots, and other common graph types. He covers testing data for normality, defining and identifying outliers, and working with non-normal data. Students are introduced to common one- and two-sample tests as well as one- and two-way analysis of variance (ANOVA), correlation, and linear and nonlinear regression analyses. This volume also includes a section on advanced procedures and a chapter introducing algorithms and the art of programming using R.

Encyclopedia Of Human Biology

Author : Renato Dulbecco
ISBN : STANFORD:36105019324198
Genre : Science
File Size : 65. 14 MB
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Plantomics The Omics Of Plant Science

Author : Debmalya Barh
ISBN : 9788132221722
Genre : Science
File Size : 35. 10 MB
Format : PDF, Docs
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PlantOmics: The Omics of Plant Science provides a comprehensive account of the latest trends and developments of omics technologies or approaches and their applications in plant science. Thirty chapters written by 90 experts from 15 countries are included in this state-of-the-art book. Each chapter describes one topic/omics such as: omics in model plants, spectroscopy for plants, next generation sequencing, functional genomics, cyto-metagenomics, epigenomics, miRNAomics, proteomics, metabolomics, glycomics, lipidomics, secretomics, phenomics, cytomics, physiomics, signalomics, thiolomics, organelle omics, micro morphomics, microbiomics, cryobionomics, nanotechnology, pharmacogenomics, and computational systems biology for plants. It provides up to date information, technologies, and their applications that can be adopted and applied easily for deeper understanding plant biology and therefore will be helpful in developing the strategy for generating cost-effective superior plants for various purposes. In the last chapter, the editors have proposed several new areas in plant omics that may be explored in order to develop an integrated meta-omics strategy to ensure the world and earth’s health and related issues. This book will be a valuable resource to students and researchers in the field of cutting-edge plant omics.

Basic Statistics

Author : Olive Jean Dunn
ISBN : UOM:39015049563458
Genre : Mathematics
File Size : 29. 11 MB
Format : PDF, ePub, Mobi
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An introduction to the use of statistics in biomedical research-now fully updated for the information age Since the second edition of Basic Statistics was published more than two decades ago, there have been significant changes in the way statistics is applied in the biomedical fields. To provide relevant, up-to-date coverage of biostatistics for professionals in public health, medicine, and other biomedical fields, this popular primer is now thoroughly revised. The new edition emphasizes biomedical research methodology and clearly explains the design, graphical methods, and exploratory data analysis as used in contemporary studies. Through short, concise, nontechnical presentations (high-school algebra is the only requirement!), readers will learn to interpret and examine data from biomedical studies and apply such tools as sampling, random assignment, and biostatistical analyses in their own research. Basic Statistics, Third Edition: * Describes major types of biomedical studies and how to design them * Discusses the samples used in different types of biomedical studies * Emphasizes the use of confidence intervals in data analysis * Offers a new introduction to survival analysis, including clinical life tables * Substantiates with examples some of the major statistical theorems * Adds new graphs, figures, problem sets, and bibliographic references * Discusses using statistical computer programs in data analysis

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