The Statistical Analysis of Small Data Sets by Markus Neuh?user Hardcover Book
$ 69.01
Description
The Statistical Analysis of Small Data Sets by Markus Neuhäuser, Graeme D. Ruxton Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description This book offers advice on the statistical analysis of small data sets (which are often used for ethical, financial, or practical reasons) for various designs and levels of measurement, helping researchers to analyse such data sets, but also to evaluate and interpret others' analyses. Publisher Description We live in the era of big data. However, small data sets are still common for ethical, financial, or practical reasons. Small sample sizes can cause researchers to seek out the most powerful methods to analyse their data, but they may also be wary that some methodologies and assumptions may not be appropriate when samples are small. The book offers advice on the statistical analysis of small data sets for various designs and levels of measurement, helpingresearchers to analyse such data sets, but also to evaluate and interpret others' analyses. The book discusses the potential challenges associated with a small sample, as well as the waysin which these challenges can be mitigated. General topics with strong relevance to small sample sizes such as meta-analysis, sequential and adaptive designs, and multiple testing are introduced. While the focus is on hypothesis tests and confidence intervals, Bayesian analyses are also covered. Code written in the statistical software R is presented to carry out the proposed methods, many of which are not limited to use on small data sets, and the book also discusses approaches to computingthe power or the necessary sample size, respectively. Author Biography After studying statistics (with biology as minor) at the University of Dortmund, Professor Markus Neuhäuser worked as a biostatistician in the pharmaceutical industryfrom 1996 to 2001. Back in academia, he was Senior Lecturer in the Department of Mathematics and Statistics at the University of Otago, New Zealand from 2002 to 2004 and at the University Hospital Essen, Germany from 2004 to 2006). Since 2006 he has been working as a Professor of Statistics at theRheinAhrCampus in Remagen, Germany. Professor Graeme Ruxton FRSE is a zoologist known for his research into behavioural ecology and evolutionary ecology. Ruxton received his PhD in Statistics and ModellingScience in 1992 from the University of Strathclyde. His studies focus on the evolutionary pressures on aggregation by animals, and predator-prey aspects of sensory ecology. He researched visual communication in animals at the University of Glasgow, where he was professor of theoretical ecology. In 2013 he became professor at the University of St Andrews, Scotland. Ruxton has published numerous papers on antipredator adaptations, along with contributions to textbooks. In 2012 Ruxton was electeda Fellow of the Royal Society of Edinburgh. Details ISBN 0198872976 ISBN-13 9780198872979 Title The Statistical Analysis of Small Data Sets Author Markus Neuhäuser, Graeme D. Ruxton Format Hardcover Year 2024 Pages 160 Publisher Oxford University Press GE_Item_ID:168891968; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
