MTU Library Catalogue

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A handbook of statistical analyses using S-PLUS / Brian S. Everitt.

By: Everitt, Brian.
Material type: materialTypeLabelBookPublisher: London : Chapman & Hall, 1994Description: viii, 143 p. + pbk.ISBN: 041256310X .Subject(s): S-Plus | Statistics -- Data processing | Mathematical statistics -- Data processingDDC classification: 519.50285
Contents:
Data description and simple inference: IQ scores of children of depressed and non-depressed women -- Predicting the volume of black cherry trees from measurements of their height and diameter -- Analysis of variance: diets for chickens -- Logistic regression: predicting outcome to treatment for patients with leukemia -- Survival analysis: modelling the survival time of patients with leukemia -- Nonlinear modelling: fitting the Michaelis-Menten equation to hormone-receptor assay results -- The analysis of time series: early numbers of sunspots -- Principal components: exploring the progress of competitors in a 100-kilometre road race -- Cluster analysis: classifying countries in terms of the athletic powers of their women -- Correspondence analysis: suicide behaviour in the former West Germany -- Scattergrams and density estimation: birth and death rates for 69 countries.
Holdings
Item type Current library Call number Copy number Status Barcode
General lending MTU Bishopstown Library Lending 519.50285 (Browse shelf(Opens below)) 1 Available 00009185
Total holds: 0

Enhanced descriptions from Syndetics:

Following an introductory chapter the book goes on to describe the application of several particular statistical techniques to specific data sets, using the features of S-PLUS to fit models and to describe and explore data by means of informative graphics.

Includes bibliographical references (pages 137-138) and index.

Data description and simple inference: IQ scores of children of depressed and non-depressed women -- Predicting the volume of black cherry trees from measurements of their height and diameter -- Analysis of variance: diets for chickens -- Logistic regression: predicting outcome to treatment for patients with leukemia -- Survival analysis: modelling the survival time of patients with leukemia -- Nonlinear modelling: fitting the Michaelis-Menten equation to hormone-receptor assay results -- The analysis of time series: early numbers of sunspots -- Principal components: exploring the progress of competitors in a 100-kilometre road race -- Cluster analysis: classifying countries in terms of the athletic powers of their women -- Correspondence analysis: suicide behaviour in the former West Germany -- Scattergrams and density estimation: birth and death rates for 69 countries.