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› Find signed collectible books: 'Introduction to Applied Statistics: A Modelling Approach'
More editions of Introduction to Applied Statistics: A Modelling Approach:
› Find signed collectible books: 'Introductory Statistics: The Modelling Approach (Oxford Science Publications)'
This textbook describes statistical data through histograms and explains how variations may occur under different conditions. It provides practical and stimulating examples to demonstrate the usefulness of modern statistics in many disciplines.
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› Find signed collectible books: 'Modelling Frequency and Count Data (Oxford Statistical Science Series)'
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› Find signed collectible books: 'Models for Repeated Measurements (Oxford Statistical Science Series)'
Models for Repeated Measurements will interest research statisticians in agriculture, medicine, economics, and psychology, as well as the many consulting statisticians who want an up-to-date expository account of this important topic. This edition of this successful book has been completely updated to take into account the many developments in the area over the last few years. It features three new chapters on models for continuous non-normal data, on various design issues specific to repeated measurements, and on missing data and dropouts. Exercises have been added at the ends of most chapters, and the software for carrying out the analyses is now available to the public. The book begins with a development of the general context of repeated measurements. It then describes the three basic types of response variables--continuous (normal), categorical, and count data--and develops a practical framework for creating suitable models and for applying ideas on multivariate distributions and stochastic processes. The book then devotes three sections to examining a large number of concrete examples, including data tables, to illustrate the models available. The book also includes an extensive list of references.
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› Find signed collectible books: 'Models for Repeated Measurements (Oxford Statistical Science, Vol 10)'
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› Find signed collectible books: 'NonLinear Models for Medical Statistics (Oxford Statistical Science)'
This text provides an introduction to the use of nonlinear models in medical statistics. It is a practical text rather than a theoretical one and assumes a basic knowledge of statistical modelling and of generalized linear models. It begins with a general introduction to nonlinear models, comparing them to generalized linear models, descriptions of data handling and formula definition and a summary of the principal types of nonlinear regression formulae. There is an emphasis on techniques for non-normal data. Following chapters provide detailed examples of applications in various areas of medicine, epidemiology, clinical trials, quality of life, pharmokinetics, pharmacodynamics, assays and formulations, and moleuclar genetics.
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› Find signed collectible books: 'Parametric Statistical Inference (Oxford Science Publications)'
Inference involves drawing conclusions about some general phenomenon from limited empirical observations in the face of random variability. In a scientific context, the general must include the completely unforeseen if all possibilities are to be considered. Many of the statistical models most used to describe such phenomena belong to one of a small number of families--the exponential, transformation, and stable families. In the past 25 years, the likelihood function has been recognized as the fundamental element of approach to drawing scientific conclusions. This book brings together for the first time these two components of statistics as the central themes of statistical inference. Chapters focus on model building, approximations, and examples. There are also appendices on the elements of measure theory, probability theory, and numerical methods. The discussions are appropriate for students of mathematical statistics.
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› Find signed collectible books: 'Statistical Analysis of Stochastic Processes in Time (Cambridge Series in Statistical and Probabilistic Mathematics)'
This introduction to ways of modelling a wide variety of phenomena that occur over time is accessible to anyone with a basic knowledge of statistical ideas. J.K. Lindsey concentrates on tractable models involving simple processes for which explicit probability models, hence likelihood functions, can be specified. (These models are the most useful in statistical applications modelling empirical data.) Examples are drawn from physical, biological and social sciences, to show how the book's underlying ideas can be applied, and data sets and R code are supplied for them. Author resource page: http://popgen.unimaas.nl/~jlindsey/books.html
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