This Pearson Original edition is published specifically for Macquarie University.
Some multivariate methods have been specifically designed to decompose the variability between codon usage within the differently abundantamino acids (Grantham et al., 1981; Perrière and Thioulouse, 2002), and this enables discovery of ...
Introduction to Modern Statistics
The book includes more than 200 exercises with fully worked solutions. Some familiarity with basic statistical concepts, such as linear regression, is assumed. No previous programming experience is needed.
The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify.
The second edition of this book includes a number of advances and insights that have occurred since the first edition appeared.
Designed for a two-semester, introductory course for graduate students in the social sciences, this text introduces three major advances in the field: Early studies seemed to suggest that normality can be assumed with relatively small ...
Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included – this is a modern method missing in many other books Probability and Statistics are studied by ...
(See Darroch & Ratcliff, 1972, .) This is usually very much faster than GLM fitting but is less flexible. To use loglin we need to form the frequencies into an array. A simple way to do this is to construct a matrix subscript from the ...
Features: Presents an in-depth description of both classic and modern methods Explains and illustrates why recent advances can provide more power and a deeper understanding of data Provides numerous illustrations using the software R ...
(7.41) This is the basis for Pearson's )(2 test, and can be phrased as follows: “Given the null hypothesis H0 that the data are drawn from a population following the model M, the probability that the X 2 statistic in ...