Applied nonparametric statistical methods / Peter Sprent.
By: Sprent, Peter
.
Contributor(s): Sprent, Peter. Quick statistics.
Material type:
BookPublisher: London ; New York : Chapman and Hall, 1989Description: x, 259 p. : ill. ; 24 cm. + pbk.ISBN: 041230600X; 0412306107 .Subject(s): Nonparametric statisticsDDC classification: 519.5 | Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
| General Lending | MTU Bishopstown Library Lending | 519.5 (Browse shelf(Opens below)) | 1 | Available | 00024785 |
Enhanced descriptions from Syndetics:
This book is a practical introduction to statistical techniques called nonpara metric methods. Using examples, we explain assumptions and demonstrate procedures; theory is kept to a minimum. We show how basic problems are tackled and try to clear up common misapprehensions so as to help both students of statistics meeting the methods for the first time and workers in other fields faced with data needing simple but informative analysis. An analogy between experimenters and car drivers describes our aim. Statistical analyses may be done by following a set of rules without understanding their logical basis, but this has dangers. It is like driving a car with no inkling ofhow the internal combustion engine, the gears, the ignition system, the brakes actually work. Understanding the rudiments helps one get better performance and makesdrivingsafer;appropriate gearchanges become a way to reduce engine stress, prolong engine life, improve fuel economy, minimize wear on brake linings. Knowing how to change the engine oil or replace worn sparking plugs is notessential for adriver, but it will reduce costs. Learning such basics will not make one a fully fledged mechanic, even less an automotive engineer; but it all contributes to more economical and safer driving, alertingone to the dangers ofbald tyres, aleakingexhaust, worn brake linings.
"Detailed and modernized development from an earlier work ... Quick statistics (Penguin Books, 1981)"--P. x..
Includes bibliographical references (pages 242-250) and index.
Introducing nonparametric methods -- Location estimates for single samples -- Distribution tests and rank transformations for single samples -- Methods for paired samples -- Tests and estimation for two independent samples -- Three or more samples -- Bivariate and multivariate data -- Counts and categories -- Robustness, jackknives and bootstraps -- Looking ahead.