Título: Introduction to Linear Regression Analysis
Autor: Douglas C. Montgomery
Sinopse: Praise for the Fourth Edition "As with previous editions, the authors have produced a leading textbook on regression." —Journal of the American Statistical Association A comprehensive and up-to-date introduction to the fundamentals of regression analysis Introduction to Linear Regression Analysis, Fifth Edition continues to present both the conventional and less common uses of linear regression in today’s cutting-edge scientific research. The authors blend both theory and application to equip readers with an understanding of the basic principles needed to apply regression model-building techniques in various fields of study, including engineering, management, and the health sciences. Following a general introduction to regression modeling, including typical applications, a host of technical tools are outlined such as basic inference procedures, introductory aspects of model adequacy checking, and polynomial regression models and their variations. The book then discusses how transformations and weighted least squares can be used to resolve problems of model inadequacy and also how to deal with influential observations. The Fifth Edition features numerous newly added topics, including: A chapter on regression analysis of time series data that presents the Durbin-Watson test and other techniques for detecting autocorrelation as well as parameter estimation in time series regression models Regression models with random effects in addition to a discussion on subsampling and the importance of the mixed model Tests on individual regression coefficients and subsets of coefficients Examples of current uses of simple linear regression models and the use of multiple regression models for understanding patient satisfaction data. In addition to Minitab, SAS, and S-PLUS, the authors have incorporated JMP and the freely available R software to illustrate the discussed techniques and procedures in this new edition. Numerous exercises have been added throughout, allowing readers to test their understanding of the material. Introduction to Linear Regression Analysis, Fifth Edition is an excellent book for statistics and engineering courses on regression at the upper-undergraduate and graduate levels. The book also serves as a valuable, robust resource for professionals in the fields of engineering, life and biological sciences, and the social sciences.
Contexto da obra
Quando a classificação é mais ampla, o contexto do livro costuma depender ainda mais de autoria, tema e edição. “Introduction to Linear Regression Analysis”, de Douglas C. Montgomery, publicado pela editora Wiley, em 2012 e com 672 páginas, integra a categoria Livros Variados. Por isso, autoria, edição e tema acabam tendo ainda mais peso na forma de apresentar o livro.
Editora: Wiley
Páginas: 672
Ano: 2012
Edição: 5
Linguagem: inglês
ISBN: 0470542810
ISBN13: 9780470542811
Sobre a editora
Os livros da editora Wiley oferecem uma leitura que combina rigor técnico e aplicabilidade prática, frequentemente focada em temas como negócios, finanças, tecnologia e ciências exatas. A experiência de leitura varia entre obras didáticas, com instruções passo a passo e exemplos ilustrados, e análises aprofundadas que exploram desde estratégias empresariais até fundamentos científicos. O tom é predominantemente informativo e direto, com ritmo que privilegia o aprendizado estruturado, ainda que haja espaço para narrativas que trazem histórias reais e casos de estudo. O catálogo revela uma preferência por textos que dialogam com profissionais, estudantes e leitores interessados em aprimorar habilidades específicas, seja em vendas, programação, contabilidade ou desenvolvimento pessoal.
