Snedecor and Cochrans's Statistical Methods
Published on 1. January 2004
Book
Hardback
576 pages
978-0-8138-0864-2 (ISBN)
Description
It's finally here. The much-anticipated ninth edition of this classic text/reference has been thoroughly updated. This new edition contains both the classic material you have counted on to drive home basic theory and points of reference; in addition, Dr. Koehler has added numerous new sections, figures and chapters to give students and professionals realistic data in which to learn from. Many previous chapters have been expanded. Just some of the new additions you will see in this new edition: Shapiro-Wilk and Kolmogorov-Smirnov tests for normality, expanded and more accurate approximation and discussion of sample size determination, and more accurate methods for constructing a confidence interval. Find new chapters on how to use logistic regression to model trends in proportions and how to apply Poisson regression models to count data. Another new chapter will introduce the exponential, log-normal and Weibull distributions, and discuss Kaplan-Meier estimators of survival curves and log- rank tests for comparing estimates of survival curves for several populations and much much more.
More details
Edition
New edition
Language
English
Place of publication
Arnes, AI
United States
Target group
College/higher education
Professional and scholarly
Undergraduates, graduate students and teachers of statistics, engineering, mathematics and the sciences.
Edition type
New edition
Product notice
Cloth over boards
Illustrations
608 illustrations
Dimensions
Height: 254 mm
Width: 178 mm
ISBN-13
978-0-8138-0864-2 (9780813808642)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Content
Chapter 1: IntroductionChapter 2: New section on stem-leaf displays, computation of sample percentiles, and box plots.Chapter 3: Elimination of lower-case lettering to represent deviations from a sample mean.Chapter 4: Expanded to indicate computer packages available to simulate normal distributions.Chapter 5: Addition of Shapiro-Wilk and Kolmogorov-Smirnov tests; improved explanation of kurtosis and sample size determination.Chapter 6: More accurate sample size determination for comparing two means.Chapter 7: More accurate method for constructing a confidence interval when sample size is small.Chapter 8: Improved explanation of rank sum test.Chapter 9: New section on non-parametric methods for comparing several populations.Chapter 10: Add formulas for 95 per cent prediction intervals, added section on replication and lack-of-fit.Chapter 11: No changes.Chapter 12: Add section to provide references to use of log-linear models for higher dimensional tables.Chapter 13: New chapter to show how to use logistic regression to model trends in proportions and how to apply Poisson regression models to count data.Chapter 14: Add discussion of REML estimation.Chapter 15: May only change chapter title.Chapter 16: Expanded discussion of missing data and provide more recent references to the diagnostic techniques presented and discussions of the consequences of failures of model assumptions.Chapter 17: Added section to explain the use of half normal plots to determine the significance of effects when there is no replication.Chapter 18: Additional diagnostic procedures for assessing the fit of models and the influence of individual observations.Chapter 19: Update references.Chapter 20: Added section on the use of a model free procedure for fitting a smooth curve to a plot.Chapter 21: New illustrations and updated references.Chapter 22: No major changes.Chapter 23: New chapter will illustrate the analysis of time to event data. It will introduce the exponential, log-normal and Weibull distributions, and the Kaplan-Meier estimators of survival curves and log-rank tests for comparing estimates of survival curves for several populations.