Introduction to Applied Statistics - A Modelling Approach

Zusatztext I recommend it as a text for a basic course in applied statistics, either as a first statistics course to mathematics students, or as a more advanced course to students in other disciplines. Klappentext This text is aimed at students in medicine! biology and the social sciences as well as those planning to specialize in applied statistics. It covers the basics of the design and analysis of surveys and experiments and provides an understanding of the basic principles of modeling and inference. Practical advice is provided on how to design a study! collect data! record observations accurately! detect errors! construct appropriate models! and interpret the results. The text contains many illustrative examples and exercises relating statistical principles to research. A companion web site is available with links to data sets! R codes! and an instructor's manual with teaching hints and solutions. Zusammenfassung This title covers the basics of the design and analysis of surveys and experiments and provides an understanding of the basic principles of modelling and inference. Practical advice is provided on how to design a study! collect data! record observations and interpret the results. Inhaltsverzeichnis 1: Basic concepts 2: Categorical data 3: Inference 4: Probability distributions 5: Normal regression and ANOVA 6: Dependent responses 7: Where to now? A: Tables Bibliography Author index Subject index

Product details

• Authors: J K Lindsey, J. K. Lindsey, James K. Lindsey
• Publisher: Oxford University Press
• Languages: English
• Product format: Paperback / Softback
• Released: 31.12.2003
• EAN: 9780198528951
• ISBN: 978-0-19-852895-1
• No. of pages: 336
• Subjects: Natural sciences, medicine, IT, technology > Mathematics; SOCIAL SCIENCE / Research, MATHEMATICS / Probability & Statistics / General, MATHEMATICS / Applied, SOCIAL SCIENCE / Statistics, Social research & statistics, Probability & statistics, Maths for scientists, Maths for engineers, Probability and statistics, Social research and statistics