About this product

Product Identifiers

PublisherOxford University Press, Incorporated

ISBN-100198523459

ISBN-139780198523451

eBay Product ID (ePID)48142

Product Key Features

Number of Pages226 Pages

Publication NameIntroductory Statistics : the Modelling Approach

LanguageEnglish

Publication Year1995

SubjectProbability & Statistics / General, Statistics

TypeTextbook

Subject AreaMathematics, Social Science

AuthorJ. K. Lindsey

FormatUk-Trade Paper

Dimensions

Item Height0.6 in

Item Weight12.7 Oz

Item Length9.1 in

Item Width6.1 in

Additional Product Features

Intended AudienceCollege Audience

LCCN95-013308

Dewey Edition20

Reviews"Written for the computer age, for the student who, as a medical, biological, or social scientist, will use computers and statistical techniques to design surveys or experiments and to analyze the resulting data."--Bulletin of Mathematics Books"Lindsey's book is without doubt a very useful contribution to categorical data...A great application-oriented book that researchers and students will find very interesting. A valuable addition to statistical literature; highly recommended."--Choice"I think the book could be quite useful....I also liked the topics covered." --Technometrics, "Written for the computer age, for the student who, as a medical, biological, or social scientist, will use computers and statistical techniques to design surveys or experiments and to analyze the resulting data."--Bulletin of Mathematics Books "Lindsey's book is without doubt a very useful contribution to categorical data...A great application-oriented book that researchers and students will find very interesting. A valuable addition to statistical literature; highly recommended."--Choice "I think the book could be quite useful....I also liked the topics covered." --Technometrics, "Written for the computer age, for the student who, as a medical, biological, or social scientist, will use computers and statistical techniques to design surveys or experiments and to analyze the resulting data."-- Bulletin of Mathematics Books "Lindsey's book is without doubt a very useful contribution to categorical data...A great application-oriented book that researchers and students will find very interesting. A valuable addition to statistical literature; highly recommended."-- Choice "I think the book could be quite useful....I also liked the topics covered." -- Technometrics

IllustratedYes

Dewey Decimal519.5

Table Of Content1. Basic concepts2. Categorical data3. Inference4. Probability distributions5. Normal regression and ANOVA6. Dependent responses7. Where to now?Appendix: TablesIndex

SynopsisCategorical data analysis is a special area of generalized linear models which has become the most important area of statistical applications in many disciplines, from medicine to social science. Written for advanced undergraduates, but also useful for statisticians and research workers, this text presents the standard models as well as many newly developed ones in a language which can be applied in many modern statistical packages such as GLIM, GENMSTAT, S-Plus, and SAS and LISP-STAT. Structured around the distinction between independent events occurring to different individuals and repeated events occurring to the same individuals, the book demonstrates that much of modern statistics can be seen as special cases of categorical data models. Other topics covered include Markov chains, overdispersion, and random effects. Introductory Statistics offers a radical new approach to teaching the subject. Statistics, the author observes, is the study of variability, both systematic and random. Random variability is most easily described by a histogram; systematic variability is described by changes in the shape of histograms. A natural way to study these two types of variability is through log linear and logistic models. Once these basic principles of statistical modelling have been grasped, the problem of inference can be introduced through the likelihood function. Common approaches to calibrating the likelihood functions through significance tests and Bayes theorem are briefly presented. The reader is then introduced to more sophisticated statistical models, including parametric distributions, which are classified in three groups: discrete, normal and duration distributions. With this groundwork, linear regression and ANOVA models are introduced as special cases that describe how histograms change. The text concludes with selected topics in dependent data. Accessible to non-mathematicians, the book assumes little prior knowledge, although later chapters deal with fairly advanced models. It includes many practical examples and will serve as an excellent first introduction for both undergraduate and graduate students., This textbook, for social science students coming to statistics for the first time, presents a new approach to teaching the subject. Based on the description of data through histograms, and their conditional variation, Lindsey provides students with an immediate and visual means to come to terms with what can be a bewildering area. Many practical and stimulating examples, taken from the scoial sciences, will help understanding by giving concrete evidence for the utility of statistics in the fields these students are studying. The text assumes no prior knowledge of statistics, providing an ideal introduction for undergraduate as well as graduate students.

LC Classification NumberHA29.L83113 1995