Hard Copy

Statistics and Scientific Method And Introduction for Students and Researchers

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Most introductory statistics textbooks are written either in a highly mathematical style for an intended readership of mathematics undergraduate students, or in a recipe-book style foran intended audience of non-mathematically inclined undergraduate or postgraduate students, typically in a single discipline; hence, 'statistics for biologists', statistics for psychologists', uO os pue *An antidote to technique-oriented service courses, this book is different. It studiously avoids the recipe-book style and keeps algebraic details of specific statistical methods to the minimum extent necessary to comvey the underlying concepts. Instead, the aim is to give the reader a clear understanding of how core statistical ideas of experimental design, modelling and data analysis are integral to the scientific method. Any statistical analysis of a realistically sized dataset requires the use of specially written computer software, An Appendix introduces the reader to the open-source software used here, R, whilst the book web page includes downloadable data and R code that enables the reader to reproduce all of the analyses in the book and, with easy modifications, to adapt the code to analyse their own data if they wish. However, the book is not intended to be a textbook on statistical computing, and all of the material in the book can be understood without using either Ror any other computer software. Almed primanly at postgraduate students at the beginning of their studies and from across a range of scientific disciplines (albeit with a bias towards the biological, environmental and health sciences), it therefore assumes some maturity of understanding of scientific method. However, it does not require any prior knowledge of statistics, or any mathematical knowledge Degond basic algebra and a willingness to come to terms with mathematical notation. Amanda G. Chetwynd is Pro-Vice-Chancellor for the Student Experience and Professor of Mathematics and Statistics at Lancaster University. She was awarded a National Teaching Fellowship in 2003 and in 2005 led Lancaster's successful bid for a Postgraduate Statistics Centre of Excellence in Teaching and Learning Pater J. Diggle is Distinguished University Professor of Statistics and Associate Dean for Research in the School of Health and Medicine, Lancaster University, Adjunct Professor in the Department of Biostatistics, Johns Hopkins University School of Public Health and Adjunct Senior Researcherin the International Research institute for Climate and Society. Columbia University. Along with Patrick Heagerty, Kung Yee Liang and Scott L. Zeger, he is the author of Anatysis of Longitudinal Data.

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Availability

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31:168 Dig s 13346

Perpustakaan PPKS Medan Lt. 1 (RAK 31:168)

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Detail Information

Series Title

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Call Number

31:168 Dig s

Publisher

New York : Oxford University Press., 2011

Collation

xiii, 172p.: ill.; pic.,- 21 cm.

Language

English

ISBN/ISSN

978-0-19-954318-2

Classification

31:168

Content Type

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Media Type

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Carrier Type

-

Edition

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Subject(s)

Statistik

Specific Detail Info

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Statement of Responsibility

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