Vista normal Vista MARC

Understanding statistical error: a primer for biologists / Marek Gierlinski

Por: Gierlinski, Marek [autor/a].
Tipo de material: Libro impreso(a) y electrónico Libro impreso(a) y electrónico Editor: Chichester, West Sussex, UK: John Wiley & Sons Ltd, c2016Descripción: viii, 213 páginas ; 24 centímetros.ISBN: 1119106915; 9781119106913.Tema(s): Biología | Análisis de error (Matemáticas) | Biometría | Análisis de varianza | ProbabilidadesFormatos físicos adicionales: Understanding statistical error: a primer for biologistsClasificación: 570.72 / G5 Nota de acceso: Disponible para usuarios de ECOSUR con su clave de acceso Nota de bibliografía: Incluye bibliografía: páginas 209-210 e índice: páginas 211-213 Número de sistema: 57781Resumen:
Inglés

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.

Recurso en línea: http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1108306
Etiquetas de esta biblioteca: No hay etiquetas de esta biblioteca para este título. Ingresar para agregar etiquetas.
Star ratings
    Valoración media: 0.0 (0 votos)
Existencias
Tipo de ítem Biblioteca actual Colección Signatura Estado Fecha de vencimiento Código de barras
Libros Biblioteca Electrónica
Recursos en línea (RE) 		Acervo General Recurso digital ECO400577812968
Libros Biblioteca San Cristóbal

Texto en la configuración de la biblioteca San Cristóbal

Acervo General (AG) 		Acervo General 570.72 G5 Prestado 02/12/2024 ECO010018488

Incluye bibliografía: páginas 209-210 e índice: páginas 211-213

Disponible para usuarios de ECOSUR con su clave de acceso

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. eng

Disponible en línea

Disponible en formato PDF

Subscripción a EBSCOhost Julio del 2016

Con tecnología Koha