Understanding Statistical Error

A Primer for Biologists

Nonfiction, Health & Well Being, Medical, Reference, Biostatistics, Science & Nature, Science, Biological Sciences, Biology
Cover of the book Understanding Statistical Error by Marek Gierlinski, Wiley
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Marek Gierlinski ISBN: 9781119106890
Publisher: Wiley Publication: December 8, 2015
Imprint: Wiley-Blackwell Language: English
Author: Marek Gierlinski
ISBN: 9781119106890
Publisher: Wiley
Publication: December 8, 2015
Imprint: Wiley-Blackwell
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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:

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.

More books from Wiley

Cover of the book Quantitative Financial Risk Management by Marek Gierlinski
Cover of the book Causality by Marek Gierlinski
Cover of the book Polymer Extrusion by Marek Gierlinski
Cover of the book Gender by Marek Gierlinski
Cover of the book Talent Management Systems by Marek Gierlinski
Cover of the book Frequently Asked Questions in Quantitative Finance by Marek Gierlinski
Cover of the book Aircraft Propulsion by Marek Gierlinski
Cover of the book Percutaneous Renal Surgery by Marek Gierlinski
Cover of the book Saving Globalization by Marek Gierlinski
Cover of the book Microwave and Millimetre-Wave Design for Wireless Communications by Marek Gierlinski
Cover of the book Materials for Low-Temperature Fuel Cells by Marek Gierlinski
Cover of the book A Practical Approach to Using Statistics in Health Research by Marek Gierlinski
Cover of the book Small Stocks for Big Profits by Marek Gierlinski
Cover of the book Wiley Series 7 Securities Licensing Exam Review 2019 + Test Bank by Marek Gierlinski
Cover of the book Clinical Trials Dictionary by Marek Gierlinski
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy